8252 Simulation Jobs - Page 40

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. GDS Consulting SAP GRC Access Control Senior Consultant As part of our EY-GDS GRC Technology team, you’ll contribute technically to GRC Technology SAP GRC client engagements and internal projects. An important part of your role will be to assist Seniors & Managers while actively participating within the client engagement. Similarly, you’ll anticipate and identify risks within engagements and share any issues with senior members of the team. In line with EY commitment to quality, you’ll confirm that work is of high quality and is reviewed by the next-level reviewer. As a member of the team, you’ll help to create a positive learning culture and assist fellow team members while delivering an assignment The opportunity We’re looking for people with expertise in SAP GRC Access Control Senior Consultant to join our EY-GDS GRC Technology Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of the service offering. Your key responsibilities Consistently deliver quality client services and manage expectations of client service delivery. Drive high-quality work products within expected timeframes and on budget. Develop and maintain long-term relationships and networks with clients and internal EY stakeholders Demonstrate deep technical capabilities and professional knowledge within different phases of the project including problem definition, diagnosis, technical design, and deployment of SAP GRC AC solutions Assist in the selection and tailoring of approaches, methods and tools to support service offering. Demonstrate a general knowledge of market trends, competitor activities, EY products and service lines. Build and nurture positive working relationships with clients with the intention to achieve exceptional client service. Contribute to Identifying opportunities to improve engagement profitability. Develop and maintain productive working relationships with client/onsite personnel Assist leadership to drive business development initiatives and account management. Support managers in performance reviews for team members and recruitment activities as required. Should cross skill and cross train the team members as per the business requirements. Maintain an educational program to continually develop personal skills of self and team members Understand and follow workplace policies and procedures Skills and attributes for success Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations. Inculcate positive learning attitude and the zeal to upskill as well as cross-skill Understand and follow workplace policies and procedures Participating in the organization-wide people initiatives Maintain an educational program to continuously upskill. Foster teamwork, quality culture and lead by example while training and mentoring juniors Inculcate positive learning culture and support learning agenda for self and team To qualify for the role, you must have More than 3 years of experience on Technology Consulting More than 3 years of working experience on Managed Services projects and supported all suites of SAP GRC Access Control 10.x/12.0 Strong working knowledge of business processes, controls framework, compliance, regulations, and segregation of duty concepts in an SAP ERP Environment Experience in requirements gathering, workshops, system configuration, testing, cutover, Go-live and operations. Experience at least 3 - 7 end-to-end delivery of the Enterprise SAP GRC 10.0/10.1/12 solution with a focus on SAP GRC Access Control components (ARA, EAM, ARM, BRM, UAR and SoD Review) Stronghold on the basic SAP landscape, transports system and version compatibility concepts Experience in automation in GRC access controls space to increase productivity and reduce manual tasks wherever applicable Good to have experience in Service Now, SailPoint or Other Identity Management products integration with SAP GRC Good to have knowledge of Cloud solutions like Success Factors, ARIBA, IBP, CALM etc. Experience in developing functional specifications for custom developments/enhancements in SAP GRC Access Control Working experience on specific SAP GRC Suite but not limited to: Access Request Management Provide recommendations on ways to simplify existing processes to gain productivity Management of SAP GRC workflows and master data in compliance with controls Experience in handling GRC workflows using MSMP and BRF+ Troubleshooting and resolution of issues around Access Requests for User and FFID provisioning Knowledgeable on setting up GRC master data for Access Requests requirements Access Risk Analysis Good understanding on the concepts of Segregation of Duties (SoD) Must have solid background on SOD reports (user level, role level and simulation reports) and mitigating controls Experience on GRC ruleset including maintenance of functions and risks Able to execute GRC master data change activities as and when needed Can help and knowledge to members around ARA Good exposure on remediation activities for GRC rulesets Emergency and Access Management Business Role Management User Access Review and SoD Review Independently carry out workshops/drive engagements on SOD remediation, access clean up Independently carry out SOD ruleset review/assessments and suggest remediation aligned with leading practices Good to have knowledge and familiarity with ITGC and logical access review/assessments, understand the configuration and settings of change management and logical access controls, assess current ITGC controls against the leading practice and suggest remediation steps What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment with consulting skills. An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries What working at EY offers? At EY, we’re dedicated to helping our clients, from start-ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Engineering Industries eXcellence is seeking a proactive and motivated Lead Generation Specialist (BDR/SDR) based in India, focused on supporting our lead generation efforts for the US market. The ideal candidate will have strong English communication skills and prior experience in lead generation, preferably within the Industry 4.0 domain. Your main responsibility will be to identify and engage potential leads via LinkedIn and other digital channels, qualify their interest in our solutions, and pass promising contacts to our US Sales Team for follow-up. You’ll focus on generating interest in Siemens and SAP services, including: Siemens MES/MOM, PLM, and simulation solutions, and SAP Digital Manufacturing & Digital Supply Chain solutions, including ATTP, EAM/IAM, DM, DMC, MII/ME. Responsibilities: Focus on lead generation for the US market, identifying and engaging prospects through LinkedIn and other platforms. Leverage social media and outbound messaging to connect with key decision-makers. Research, identify, and build contact lists within relevant target accounts using available tools and resources. Qualify leads by generating interest and understanding their potential fit for our Siemens and SAP offerings. Schedule meetings and pass qualified leads to our US Sales Team for further engagement. Work closely with Sales Executives, Delivery Leads, and Marketing to design and execute outbound campaigns aligned with business priorities. Maintain an up-to-date understanding of our service offerings through ongoing collaboration and internal training. Qualifications Excellent English communication skills, both written and verbal. 2+ years of experience in a lead generation, SDR, or BDR role – ideally in the Industry 4.0 or enterprise tech space. Proven success with LinkedIn-based outreach and social selling strategies. Strong organizational and time management skills, capable of managing outreach across time zones. A self-motivated and goal-driven mindset with a team-oriented attitude. Ability to quickly grasp technical concepts and industry trends related to Siemens and SAP ecosystems. Experience with Industry 4.0 services and solutions, preferably with Siemens and/or SAP technologies (MES, PLM, Digital Manufacturing, Digital Supply Chain) is a strong advantage. #LI-Remote

Overview: Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. The Keysight Finance and Business Intelligence Initiatives and Solutions Team (FBIS) is chartered to provide finance systems solutions design and development expertise, consulting, and project management in support of the numerous Finance and Business enterprise initiatives. FBIS is a very global and diverse team involved in critical project work that impacts the achievement of Keysight goals. FBIS is primarily engaged in Plan of Record (POR) process management, solution benchmarking/ROI & recommendations; solutions delivery and overall project management comprising business requirements analysis, functional solution design, product development, testing and deployment. The candidate should have an extensive experience in implementing / delivering solutions on Financial modules of Oracle EBS (General Ledger and Quote to Cash), Consolidation tools (such as HFM, OneStream, FAH) and any associated Boundary applications. The candidate should also have experience in Business process re-engineering, mapping business processes with financial accounting flows and enabling custom solutions as needed from time to time. Overall, the person should have very good grounding in GL and Q2C processes and be able to work with applications like OneStream/Hyperion/BI and other external integrated Business applications. This role will also be involved on managing Finance integration activities for Mergers, Acquisitions & Divestitures (MA&D) executed by Keysight in support of the company’s growth initiatives. Responsibilities: Analyze, solution, design, development, and deployment of ERP, EPM and BI solutions Analyze, solution, design, development, and deployment of ERP, EPM and BI solutions including related business processes and prereferral applications. Lead the Finance project team in defining & executing strategies for effective project implementation, process integration, data migration and systems changeover / deployment which covers all phases of project life cycle Develop & execute the financial systems deployment plan which includes enabling ERP setups, boundary applications & reporting systems to achieve a given project objective Provide ERP and process expertise and consultancy to Operations to achieve next level process optimization. Ensure effective management of change associated with ERP financial process changes - including enhancements, fixes, and documentation. Enable cross functional coordination to align Finance plan & activities with cross functional tracks Ensure integration of solutions throughout the key business flow with an end-to-end solution The Finance Project Manager will be responsible to partner closely with various Finance Operations, Information Technology and Business functions throughout the project lifecycle. Measures of Success Increase customer satisfaction: Effective, efficient Customer consulting by identifying and recommending the innovation/improvement ideas for solutions Increase speed to opportunity: Build/increase FBIS capability, capacity & flexibility Leverage the operating model: Zero compliance issues for process and application design, signoff by sox lead and zero audit issues Accelerate growth: Complete your assigned projects on time, in scope and within resource plan, utilizing project management toolkit. Qualifications: Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.*** Educational Qualifications: A Bachelors/ master’s degree or equivalent University degree preferably in Accounting or Finance. Certified Accountant (CA/ICWA/CPA//CFA or equivalent) / MBA-Fin (from reputed collage) is preferable. Work Experience: Atleast 6-8 years post qualification experience in ERP financial modules, primarily in Oracle ERP especially in the areas of General Ledger & Q2C and understanding of linkages of ERP with EPM packages and BI reporting tools. Project management : A good understanding of Agile / Scrum framework with demonstrated experience in leading complex projects involving global project teams Communication: Excellent oral and written communication skills with ability to communicate effectively across different levels & geographies Strong Solution Engineering Skills with demonstrated ability in analyzing complex business problems, identifying and implementing solutions that fit into the overall finance system architecture Ability to work in a collaborative decision-making model with stakeholders across the company. Independent, results oriented, with a hands-on attitude Ability to think strategically and tactically Proficiency in using standard desktop computer applications

JD -Project Manager A. Knowledge required Having knowledge of power electronics topologies, AC-DC converter, DC to AC Inverter, single phase to three phase converter, Battery charger etc. Simulation power circuits, MATLAB, PSIM, PSPICE etc. Knowledge of Power diodes, thyristors, IGBT, SiC etc. Knowledge of PCB schematic/wiring diagram Control hardware design & firmware understanding. Knowledge of system testing/ integration. Knowledge of design of magnetics, ie – power inductors, Transformers, high frequency inductors etc. Knowledge of all kinds of instruments used in Power electronics design/testing. Knowledge of various communication used in rolling stock Knowledge of EMI/EMC Knowledge of Vibration & thermal Knowledge of IEC, EN standards B. Hands-on experience required Power electronics Design in High power for Railway rolling stock System integration & testing knowledge of system & sub system. System design & firmware understanding Simulation Tools knowledge MATLAB, PSIM etc Failure analysis EMI/EMC of PCB level & system level Project management Thermal management of electronic system Good communication skills Documentation of system design & design output Deep knowledge of IEC, EN standards to design system Team handling C. Experience required: 10-20 years of experience in power electronics with a minimum of 8 years in Rolling stock

Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive. This role is based in India and as such all normal working days must be carried out in India. Job description Join us as a Senior Risk Quantitative Analyst This is a great opportunity for someone with experience in a quantitative role to join our Risk function You’ll be working closely with quantitative analysts across asset classes to identify and assess diffusion models and pricer approximations Hone your analytical skills and advance your career in this fast paced, critical role We're offering this role at senior analyst level What you'll do This key role will see you providing model, pricing and functional specifications of the models for the various asset classes, and for the subsequent validation by risk analytics. We’ll also look to you to support to a team of quantitative analysts and technical specialists, providing quantitative and technical mentoring to help them develop in their roles. Day-to-day, you’ll also be: Supporting a phased delivery of the simulation models and pricer prototypes Producing model documentation to be delivered to the PRA for internal review Advising senior management on and actively managing a project’s non-delivery risk Maintaining and making sure that adequate documentation is produced for governance Assisting our IT department in implementing the models, and overseeing the implementation of the functional specifications back-testing against the prototypes The skills you'll need We’re looking or someone with substantial experience in a quantitative role of specified asset classes, and experience in credit valuation adjustments, expected positive exposure, building valuation models, optimising pricing routines and computing efficiency. You’ll have a proven ability to facilitate work across organisational boundaries, and you’ll be able to remove barriers that constrain performance excellence and make sure that quality improvements meet the needs and expectation of a diverse population. We’ll also expect: Exceptional Problem-Solving Skills. Ability to approach complex challenges with analytical rigor and creativity. Strong Quantitative and Statistical Expertise. Solid foundation in probability theory, statistics, calculus and data analysis techniques. Proficient Programming Skills. Python or similar languages for data analysis and model development. Financial and Risk Acumen. Good understanding of financial instruments and core risk concepts. Attention to Detail. Careful and thorough approach to data, models, and documentation, ensuring accuracy and reliability in all aspects of analysis. Effective Communication. Ability to explain technical concepts effectively to both technical and non-technical audiences

Gurgaon, India R&D 48952 Regular No Full Time (F) None India Job Description Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. DP COE (Digital & Photonics Center of Excellence), being part of Keysight Technologies has the worldwide responsibility for developing, manufacturing and marketing a portfolio of Oscilloscopes, Bit Error Ratio Test (BERT), Arbitrary Waveform Generator (AWG), Digitizers, Photonics and Logic and Protocol solutions (instruments and software) which provide fast, extensive insight and enable engineering teams to do their job faster, with higher quality. We serve our customers in the Computer, Semiconductor, Wireless, Aero Space & Defence, Storage and Communication industry with leading edge products and solution Responsibilities We are seeking a R&D SW Engineer 1 to work with our innovative team in developing cutting-edge software for Arbitary waveform generators. As the R&D SW Engineer 1, you will work on the Arbitary waveform generator Software baseline, ensuring timely and successful completion. The ideal candidate will possess a deep understanding of DSP/SI/C++/C#. If you are passionate about pushing the boundaries of technology and thrive in a collaborative and fast-paced environment, we invite you to join our team and contribute to the advancement of Arbitary waveform generators. The candidate will work closely with teams in Germany and US. Qualifications Job Qualifications Education: Electronics/Electrical/Software Engineering or closely related field, with experience in managing R&D projects closely related field, with experience in managing R&D projects. Experience: Candidate should possess a solid understanding of C++/C#/WPF programming languages. Strong background in RF & digital Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Key Responsibilities: Design and development of 2D & 3D mechanical components using CATIA/SolidWorks. Sheet metal design and surface modeling for automotive and industrial products. Reverse engineering of parts and assemblies, including jigs & fixtures. Mould & casting tool design (housing) with PETC simulation and FEA analysis. Collaborate with cross-functional teams for product lifecycle development. Ensure designs comply with quality, safety, and industry standards. Required Skills: Proficiency in CATIA V5, SolidWorks (2D/3D CAD) . Hands-on experience in sheet metal, surface modeling, and casting tool design . Knowledge of FEA simulations (e.g., HyperMesh, ANSYS) is a plus. Experience in jigs & fixture design and mould tool development. Strong problem-solving and reverse engineering skills. Qualifications: Diploma / B.E. / B.Tech in Mechanical/Production Engineering. 2 – 5 years of experience in design engineering or tooling. Experience in automotive or manufacturing industry preferred.

We are looking for a Robotics Software Intern to support our engineering team in developing, testing, and deploying robotics solutions for automation and machine vision tasks. The ideal candidate is passionate about robotics, comfortable with coding, and eager to work on real-world robotic systems in industrial or research settings. Responsibilities: Assist in developing software for robotic systems including motion planning, control algorithms, and sensor integration. Work with tools like ROS (Robot Operating System), OpenCV, and Python/C++ for robotics development. Integrate and test robotic components such as cameras, motors, encoders, and grippers. Participate in simulation and visualization using Gazebo, RViz, or similar tools. Help collect, process, and analyze data from real-world robotic tasks. Write clear documentation and maintain version control with Git. Qualifications: Currently pursuing a degree in Robotics, Mechatronics, Computer Science, Electronics, or a related field. Proficient in Python and/or C++. Familiarity with ROS, Linux, and basic robotics concepts. Experience with OpenCV or similar vision libraries is a plus. Strong problem-solving skills and a hands-on attitude. Bonus Skills: Experience with embedded systems, Arduino, or Raspberry Pi. Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow) for vision tasks. Exposure to industrial robots, automation setups, or PLCs. Job Type: Internship Contract length: 6 months Pay: ₹10,000.00 - ₹12,000.00 per month Schedule: Day shift Monday to Friday Morning shift Ability to commute/relocate: Makarpura, Vadodara, Gujarat: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Willing to work onsite in Vadodara ? Education: Bachelor's (Preferred) Willingness to travel: 25% (Required) Work Location: In person Expected Start Date: 01/08/2025

Job Information Industry Engineering Work Experience Fresher Salary 15000 City Ahmedabad State/Province Gujarat Zip/Postal Code 380060 Job Description Dear Candidate, We have openings in our company ATMAN Solutions Pvt. Ltd. Ours is an engineering firm established in 2008 to serve diverse industry sectors like Dairy , Food Processing , Pharmaceutical , Chemical, Beverages , Brewery etc … We offer a variety of solutions to better serve the needs of clients. We are System Integrator, Turnkey Project Executor, Process Engineering Solutions and Services provider. We execute full range of engineering solutions from single loop control to the installation and programming of state of the art distributed control system. ATMAN provides engineering solutions that encompass various stages of plant life cycle. Position : GET Qualification : BE / BTech ( Mechanical / Electrical / Instrumentation / Civil) Location : Ahmedabad / SITE Experience : Fresher Duties and Responsibilities: To assist projects and service execution efficiently to produce project specific deliverables with quality and in time bound manner. He shall be familiar with the objective, contents and work process of the deliverables. Requirements Dear Candidate, We have openings in our company ATMAN Solutions Pvt. Ltd. Ours is an engineering firm established in 2008 to serve diverse industry sectors like Construction , Industrial Projects , Dairy , Food Processing , Pharmaceutical , Chemical, Beverages , Brewery etc … We offer a variety of solutions to better serve the needs of clients. We are System Integrator, Turnkey Project Executor, Process Engineering Solutions and Services provider. We execute full range of engineering project. ATMAN provides engineering solutions that encompass various stages of plant life cycle. Our Graduate Engineer Trainee (GET) position is an entry-level role designed for recent engineering graduates to gain practical experience and develop their skills within a company. Here the trainee works under the guidance of seniors rotating through different departments or projects to gain a comprehensive understanding of the company's operations and the specific engineering field. Our Purpose is to undergo intensive training, acquire hands-on experience, and contribute to various engineering projects, bridging the gap between academic knowledge and real-world industrial practices. Key Responsibilities and Duties: Learning and Training: Learn about company policies, procedures, and safety regulations. Understand specific engineering processes, tools, and methodologies relevant to the industry (e.g., CAD software, programming languages, analytical tools). Continuously learn and adapt to new technologies and best practices. Project Support and Execution: Assist senior engineers in the design, development, testing, and implementation of engineering projects. Conduct research, collect data, and analyze findings relevant to ongoing projects. Perform engineering calculations and generate diagrams. Provide technical and administrative support for various engineering activities. Contribute to problem-solving and troubleshooting issues that arise during projects. Collaboration and Communication: Collaborate effectively with cross-functional teams, including other engineers, project managers, and technicians. Participate in team meetings, present findings, and provide progress updates. Maintain clear and accurate documentation and reports for various engineering activities. Quality and Process Improvement: Support the implementation of process improvements and best practices. Assist in quality control and ensure compliance with relevant standards and specifications. Learn and apply safety standards and regulations in all engineering projects. Qualifications and Skills Required: Educational Background: Bachelor's degree (B.E./B.Tech) in a relevant engineering discipline (e.g., Civil, Mechanical, Electrical, Computer Science, Electronics, etc.) from an accredited institution. Strong academic performance is often preferred. Technical Skills: Solid understanding of fundamental engineering principles and concepts in their chosen discipline. Proficiency in relevant engineering software and tools (e.g., CAD, simulation software, project management tools). Familiarity with programming languages (e.g., Python, C++, Java) if applicable to the field. Strong analytical and problem-solving abilities. Data analysis skills. Exposure to AI Soft Skills: Excellent communication skills (written and verbal) to convey technical information clearly. Strong teamwork and interpersonal skills for effective collaboration. Attention to detail and a commitment to quality work. Logical thinking and critical thinking abilities. Adaptability and a proactive attitude towards learning. Time management and organizational skills. A passion for engineering and a willingness to grow in a fast-paced environment. Commercial awareness (understanding of business priorities and the industry). Benefits Career Path for a Graduate Engineer Trainee: The GET role is essentially a springboard for a successful engineering career. After successfully completing the trainee program (typically 1-2 years), a GET can expect to progress into more specialized roles such as: Junior Engineer: Taking on more independent projects and responsibilities. Project Engineer: Managing specific aspects of projects, potentially leading smaller teams. Specialized Engineer: Focusing on a particular area of expertise within their discipline (e.g., Design Engineer, R&D Engineer, Manufacturing Engineer, Software Developer, Network Engineer, etc.). Team Lead/Senior Engineer: With further experience, leading teams and mentoring junior engineers. Engineering Manager: Transitioning into leadership roles, overseeing projects, budgets, and teams. Technical Consultant or Specialist: Becoming an expert in a niche area, providing advisory services.

Category Engineering Hire Type Employee Job ID 12162 Remote Eligible No Date Posted 20/07/2025 Alternate Job Titles: ASIC Verification, Sr. Engineer Sr. Engineer, Digital Verification We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: You are a highly motivated and innovative engineer with a strong background in high-speed protocols and a keen interest in growing your expertise through verification-related work. You thrive in a collaborative environment, working alongside experienced digital design and verification professionals. With a solid foundation in Verilog, VHDL, and/or SystemVerilog, you are eager to expand your knowledge and your skills to state-of-the-art products. Your excellent problem-solving abilities and strong communication skills enable you to identify and address design issues effectively. You are organized, detail-oriented, and capable of managing multiple tasks efficiently. With your passion for learning and exploring new technologies, you are committed to contributing to the success of our projects and the broader goals of Synopsys. What You’ll Be Doing: Identify verification environment requirements from various sources, including specifications, design functionality, and interfaces. Generate verification test plans, environment documentation, and usage documentation. Define, develop, and verify complex UVM verification environments. Evaluate and exercise various aspects of the development flow, including Verilog/SystemVerilog development, functional simulation, constraint development, test planning, behavioral modeling, and verification coverage metrics. Identify design problems, propose corrective actions, and address inconsistencies in documented functionality. Collaborate with cross-functional teams to ensure the successful integration and verification of projects. The Impact You Will Have: Ensure the robustness and reliability of our digital designs through meticulous verification processes. Contribute to the development of cutting-edge technologies that power the Era of Smart Everything. Enhance the overall quality and performance of our silicon IP products. Help our customers bring differentiated products to market quickly and with reduced risk. Drive continuous improvements in our verification methodologies and practices. Support the growth and success of Synopsys by contributing to our reputation for innovation and excellence. What You’ll Need: Proven desire to learn and explore new state-of-the-art technologies. Demonstrated proficiency in Verilog, VHDL, and/or SystemVerilog. Experience with scripting languages such as BASH, TCSH, PERL, PYTHON, or TCL is a plus. Understanding of verification methodologies such as UVM is a plus. Strong organizational and communication skills. 3+ years of relevant experience in ASIC digital verification. Who You Are: A passionate and innovative engineer with a strong technical background. Detail-oriented and capable of managing multiple tasks efficiently. Excellent problem-solving abilities and a proactive approach to addressing challenges. Strong communication skills, both written and spoken. A collaborative team player who thrives in a dynamic and fast-paced environment. The Team You’ll Be A Part Of: You will join an experienced and dedicated digital design and verification team focused on developing state-of-the-art products. Our team is committed to excellence and continuous improvement, working collaboratively to achieve our goals. You will have the opportunity to learn from experts in various fields and contribute to the success of our projects. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Position Title: Embedded Hardware Engineer Years of Experience: 2+ Year Work Model: Work From Office Location: Bhopal (M.P.) About Us: At “IZI” , we are revolutionizing the world of consumer drones with cutting-edge technology, innovative design, and a passion for excellence. Key Responsibilities: Design and Develop Avionics Systems: Develop robust and reliable avionics hardware including flight controllers, power distribution boards, sensors, and communication modules for UAVs. PCB Design and Development: Create schematic designs and PCB layouts; oversee fabrication, assembly, and bring-up processes. Embedded Systems Integration: Integrate microcontrollers, FPGAs, and DSPs into avionics hardware; develop firmware where necessary. Power Management Systems: Design efficient power distribution and battery management systems, incorporating redundancy and fail-safe mechanisms. Sensor Integration: Interface and calibrate IMUs, GPS, LiDAR, barometric altimeters, and other flight-critical sensors. Communication Systems: Implement and test communication interfaces such as CAN, UART, SPI, I2C, and RF modules for telemetry and command control. Testing and Validation: Conduct rigorous functional, environmental, and compliance testing to ensure system reliability and airworthiness. Troubleshooting and Optimization: Identify and resolve hardware performance issues; optimize for power, weight, thermal, and electromagnetic performance. Documentation and Compliance: Create and maintain comprehensive design documentation, test reports, and compliance records per industry standards. Required Skill: Expertise in PCB design tools (Altium, Eagle, KiCad, etc.)  Strong knowledge of microcontrollers, FPGAs, and DSPs Proficiency in high-speed digital and analog circuit design Solid understanding of power electronics and battery management systems Experience in sensor interfacing and real-time signal processing Familiarity with environmental testing standards and EMC compliance Hands-on experience with circuit simulation tools: MATLAB, Simulink, LTspice, PSpice Proficient in Embedded C/C++ and Python for hardware-related programming Skilled in using lab equipment: oscilloscopes, logic analyzers, spectrum analyzers Excellent teamwork and communication abilities Job Type: Full-time Pay: From ₹300,000.00 per year Benefits: Provident Fund Ability to commute/relocate: Bhopal, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Current/Expected CTC Notice Period Experience: Drone: 1 year (Required) Embedded Hardware: 1 year (Required) Work Location: In person Speak with the employer +91 9753889095

Role & responsibilities Doing methoding and its calculation, modelling and result analysis in Magma soft / related Software. Feasibility study received from marketing. Development of new items for bulk production. Monthly production panning review and its execution with respect to methoding. Daily production planning review for Pattern readiness. Sample casting dimension development activity from pattern to final dispatch of sample casting. Finalisation of Master Card. To ensure preparation of mould as per method card, as per planning. Communicating with customer directly all problems related to casting and patterns. Feasibility study of new item regarding pattern making and approx. pattern costing. Preparing Pattern layout. Select vendor for pattern making. Preferred candidate profile Candidate from foundry experience with Steel/Stainless Steel will be preferred, Perks and benefits No bar for right candidate

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Beckman Coulter Diagnostics, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact. You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life. As a global leader in clinical diagnostics, Beckman Coulter Diagnostics has challenged convention to elevate the diagnostic laboratory’s role in improving patient health for more than 90 years. Our diagnostic solutions are used in routine and complex clinical testing, and are used in hospitals, reference and research laboratories, and physician offices around the world. Every hour around the world, more than one million tests are run on Beckman Coulter Diagnostics systems, impacting 1.2 billion patients and more than three million clinicians per year. From uncovering the next clinical breakthrough, to rapid and reliable sample analysis, to more rigorous decision making—we are enabling clinicians to deliver the best possible care to their patients with improved efficiency, clinical confidence, adaptive collaboration, and accelerated intelligence. Learn about the Danaher Business System which makes everything possible. The Mechanical Engineer is responsible for the design and re-design of certain Hardware components and the development of new products, on-market products and support manufacturing activities. This position reports to the Head of Life Cycle Management & Group Manager and is part of the R&D Hardware/Systems Development team located in Bengaluru – BDC and will be an on-site role. In this role, you will have the opportunity to: Design and develop innovative mechanical solutions to improve performance, safety, reliability, throughput and cost-effectiveness (Knowledge of Should costing and estimation), in Design Change Project. Act as a change lead, managing the entire Design change process independently. Handle multiple projects with proper project planning and minimal guidance Conduct root cause analysis and implement corrective actions. Collaborate with cross function teams to resolve manufacturing and field issue, conduct feasibility studies, risk assessments, and design reviews and validate designs through analysis and testing. The essential requirements of the job include: Bachelor’s degree in mechanical engineering or a related field with 5 years of experience in mechanical design principles, materials, manufacturing processes. Proficiency in SolidWorks CAD software and simulation tools. Create and maintain detailed engineering documentation, including CAD models, drawings, specifications and test plans. Knowledge of dFMEA/pFMEA, DFX, Tolerance Stack-up Analysis and GD&T Basic knowledge of metals and materials, its application knowledge on mechanical parts fabrication, Rapid prototyping and testing. It would be a plus if you also possess previous experience in: Experience with medical device regulations (FDA, ISO 13485, ISO 14971, IEC 60601) Experience in IVD instrumentation, such as clinical chemistry, immunoassay, hematology, urinalysis, molecular, microbiology or flow cytometry systems is a plus Advanced certification in CAD tools Familiarity with lean manufacturing and Six Sigma principles. Prior work experience in Electro-Mechanical products, Robotics and Automation Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Introduction IBM Infrastructure division builds Servers, Storage, Systems and Cloud Software which are the building blocks for next-generation IT infrastructure of enterprise customers and data centers. IBM Servers provide best-in-class reliability, scalability, performance, and end-to-end security to handle mission-critical workloads and provide seamless extension to hybrid multicloud environments. India Systems Development Lab (ISDL) is part of word-wide IBM Infrastructure division. Established in 1996, the ISDL Lab is headquartered in Bengaluru, with presence in Pune and Hyderabad as well. ISDL teams work across the IBM Systems stack including Processor development (Power and IBM Z), ASCIs, Firmware, Operating Systems, Systems Software, Storage Software, Cloud Software, Performance & Security Engineering, System Test etc. The lab also focuses on innovations, thanks to the creative energies of the teams. The lab has contributed over 400+ patents in cutting edge technologies and inventions so far. ISDL teams also ushered in new development models such as Agile, Design Thinking and DevOps. Your Role And Responsibilities As a Software Engineer at IBM India Systems Development Lab (IBM ISDL), you will get an opportunity to work on all the phases of product development (Design/Development, Test and Support) across core Systems technologies including Operating Systems, Firmware, Systems Software, Storage Software & Cloud Software. As a Software Developer At ISDL: You will be focused on development of IBM Systems products interfacing with development & product management teams and end users, cutting across geos. You would analyze product requirements, determine the best course of design, implement/code the solution and test across the entire product development life cycle. One could also work on Validation and Support of IBM Systems products. You get to work with a vibrant, culture driven and technically accomplished teams working to create world-class products and deployment environments, delivering an industry leading user experience for our customers. You will be valued for your contributions in a growing organization with broader opportunities. At ISDL, work is more than a job - it's a calling: To build. To design. To code. To invent. To collaborate. To think along with clients. To make new products/markets. Not just to do something better, but to attempt things you've never thought was possible. Are you ready to lead in this new era of technology and solve some of the most challenging problems in Systems Software technologies? If so, let’s talk. Required Technical And Professional Expertise Required Technical Expertise: Knowledge of Operating Systems, OpenStack, Kubernetes, Container technologies, Cloud concepts, Security, Virtualization Management, REST API, DevOps (Continuous Integration) and Microservice Architecture. Strong programming skills in C, C++, Go Lang, Python, Ansible, Shell Scripting. Comfortable in working with Github and leveraging Open source tools. AI Software Engineer: As a Software Engineer with IBM AI on Z Solutions teams, you will get the opportunity to get involved in delivering best-in class Enterprise AI Solutions on IBM Z and support IBM Customers while adopting AI technologies / Solutions into their businesses by building ethical, secure, trustworthy and sustainable AI solutions on IBM Z. You will be part of end to end solutions working along with technically accomplished teams. You will be working as a Full stack developer starting from understanding client challenges to providing solutions using AI. Required Technical Expertise: Knowledge of AI/ML/DL, Jupyter Notebooks, Linux Systems, Kubernetes, Container technologies, REST API, UI skills, Strong programming skills like – C, C++, R, Python, Go Lang and well versed with Linux platform. Strong understanding of Data Science, modern tools and techniques to derive meaningful insights Understanding of Machine learning (ML) frameworks like scikit- learn, XGBoost etc. Understanding of Deep Learning (DL) Frameworks like Tensorflow, PyTorch Understanding of Deep Learning Compilers (DLC) Natural Language Processing (NLP) skills Understanding of different CPU architectures (little endian, big endian). Familiar with open source databases PostGreSQL, MongoDB, CouchDB, CockroachDB, Redis, data sources, connectors, data preparations, data flows, Integrate, cleanse and shape data. IBM Storage Engineer: As a Storage Engineer Intern in a Storage Development Lab you would support the design, testing, and validation of storage solutions used in enterprise or consumer products. This role involves working closely with hardware and software development teams to evaluate storage performance, ensure data integrity, and assist in building prototypes and test environments. The engineer contributes to the development lifecycle by configuring storage systems, automating test setups, and analyzing system behavior under various workloads. This position is ideal for individuals with a foundational understanding of storage technologies and a passion for hands-on experimentation and product innovation. Preferred Technical Expertise: Practical working experience with Java, Python, GoLang, ReactJS, Knowledge of AI/ML/DL, Jupyter Notebooks, Storage Systems, Kubernetes, Container technologies, REST API, UI skills, Exposure to cloud computing technologies such as Red Hat OpenShift, Microservices Architecture, Kubernetes/Docker Deployment. Basic understanding of storage technologies: SAN, NAS, DAS Familiarity with RAID levels and disk configurations Knowledge of file systems (e.g., NTFS, ext4, ZFS) Experience with operating systems: Windows Server, Linux/Unix Basic networking concepts: TCP/IP, DNS, DHCP Scripting skills: Bash, PowerShell, or Python (for automation) Understanding of backup and recovery tools (e.g., Veeam, Commvault) Exposure to cloud storage: AWS S3, Azure Blob, or Google Cloud Storage Linux Developer: As a Linux developer, you would be involved in design and development of advanced features in the Linux OS for the next generation server platforms from IBM by collaboration with the Linux community. You collaborate with teams across the hardware, firmware, and upstream Linux kernel community to deliver these capabilities. Preferred Technical Expertise Excellent knowledge of the C programming language Knowledge of Linux Kernel internals and implementation principles. In-depth understanding of operating systems concepts, data structures, processor architecture, and virtualization Experience with working on open-source software using tools such git and associated community participation processes. Hardware Management Console (HMC) / Novalink Software Developer: As a Software Developer in HMC / Novalink team, you will work on design, development, and test of the Management Console for IBM Power Servers. You will be involved in user centric Graphical User Interface development and Backend for server and virtualization management solution development in Agile environment. Preferred Technical Expertise Strong Programming skills in in Core Java 8, C/C++ Web development skills in JavaScript (Frameworks such as Angular.js, React.js etc),, HTML, CSS and related technologies Experience in developing rich HTML applications Web UI Frameworks: Vaadin, React JS and UI styling libraries like Bootstrap/Material Knowledge of J2EE, JSP, RESTful web services and GraphQL API AIX Developer: AIX is a proprietary Unix operating system which runs on IBM Power Servers. It’s a secure, scalable, and robust open standards-based UNIX operating system which is designed to meet the needs of Enterprises class infrastructure. As an AIX developer, you would be involved in development, test or support of AIX OS features development or open source software porting/development for AIX OS Preferred Technical Expertise Strong Expertise in Systems Programming Skills (C, C++) Strong knowledge of operating systems concepts, data structures, algorithms Strong knowledge of Unix/Linux internals (Signals, IPC, Shared Memory,..etc) Expertise in developing/handling multi-threaded Applications. Good knowledge in any of the following areas User Space Applications File Systems, Volume Management Device Drivers Unix Networking, Security Container Technologies Linkers/Loaders Virtualization High Availability & clustering products Strong debugging and Problem-Solving skills Performance Engineer: As a performance Engineer , you will get an opportunity to conduct experiments and analysis to identify performance aspects for operating systems and Enterprise Servers. where you will be responsible for advancing the product roadmap by using your expertise in Linux operating system, building kernel , applying patches, performance characterization, optimization and hardware architecture to analyse performance of software/hardware combinations. You will be involved in conducting experiments and analysis to identify performance challenges and uncover optimization opportunities for IBM Power virtualization and cloud management software built on Open stack. The areas of work will be on characterization, analysis and fine-tune application software to help deliver optimal performance on IBM Power. Preferred Technical Expertise Experience in C/C++ programming Knowledge of Hypervisor, Virtualization concepts Good understanding of system HW , Operating System , Systems Architecture Strong skills in scripting Good problem solving, strong analytical and logical reasoning skills Familiar with server performance management and capacity planning Familiar with performance diagnostic methods and techniques Firmware Engineer: As a Firmware developer you will be responsible for designing and developing components and features independently in IBM India Systems Development Lab. ISDL works on end-to-end design, development across Power, Z and Storage portfolio. You would be a part of WW Firmware development organization and would be involved in designing & developing cutting edge features on the open source OpenBMC stack (https://github.com/openbmc/) and developing the open source embedded firmware code for bringing up the next generation enterprise Power, Z and LinuxONE Servers. You will get an opportunity work alongside with some of the best minds in the industry, forum and communities in the process of contributing to the portfolio. Preferred Technical Expertise Strong System Architecture knowledge Hands on programming skills with C, C++ , C on Linux Distros. Experience/exposure in Firmware/Embedded software design & development, Strong knowledge of Linux OS and Open Source development Experience with Open Source tools & scripting languages: Git, Gerrit, Jenkins, perl/python Other Skills (Common For All The Positions): Strong Communication, analytical, interpersonal & problem solving skills Ability to deliver on agreed goals and the ability to coordinate activities in the team/collaborate with others to deliver on the team vision. Ability to work effectively in a global team environment Enterprise System Design Software Engineer: The Enterprise Systems Design team is keen on hiring passionate Computer science and engineering graduates / Masters students, who can blend their architectural knowledge and programming skills to build the complex infrastructure geared to work for the Hybrid cloud and AI workloads. We have several opportunities in following areas of System & chip development team : Processor verification engineer Needs to develop the test infrastructure to verify the architecture and functionality of the IBM server processors/SOC or ASICs. Will be responsible to creatively think of all the scenarios to test and report the coverage. Work with design as well as other key stakeholders in identifying /debugging & Resolving logic design issues and deliver a quality design Processor Pre / Post silicon validation engineer As a validation engineer you would design and develop algorithms for Post Silicon Validation of next generation IBM server processors, SOCs and ASICs. Electronic design automation – Front & BE tool development. EDA tools development team is responsible for developing state of the art Front End verification , simulation , Formal verification tools , Place & Route, synthesis tools and Flows critical for designing & verifying high performance hardware design for IBM's next generation Systems (IBM P and Z Systems) which is used in Cognitive, ML, DL, and Data Center applications. Required Professional And Technical Skills: Functional Verification / Validation of Processors or ASICs. Computer architecture knowledge, Processor core design specifications, instruction set architecture and logic verification. Multi-processor cache coherency, Memory subsystem, IO subsystem knowledge, any of the protocols like PCIE/CXL, DDR, Flash, Ethernet etc Strong C/C++programming skills in a Unix/Linux environment required Great scripting skills – Perl / Python/Shell Development experience on Linux/Unix environments and in GIT repositories and basic understanding of Continues Integration and DevOps workflow. Understand Verilog / VHDL , verification coverage closure Proven problem-solving skills and the ability to work in a team environment are a must

Job Summary We are seeking a skilled and detail-oriented HVAC Design Engineer with 4–8 years of experience in designing HVAC systems for commercial, residential, and industrial projects in the UK and Middle East regions. The ideal candidate will have a strong understanding of regional codes and standards, and proficiency in industry-standard software tools. Key Responsibilities Design and develop HVAC systems including load calculations, ductwork and piping layouts, and equipment selection. Perform thermal load calculations using software such as HAP or IES VE. Prepare design markups for BIM team. Prepare equipment schedules and schematic drawings. Prepare detailed HVAC design drawings using AutoCAD and Revit MEP. Coordinate with multidisciplinary teams including architects, structural, and electrical engineers. Conduct clash detection and coordination using Navisworks. Ensure compliance with UK (CIBSE, BSRIA) and Middle East (ASHRAE, local authority) standards and regulations. Participate in design reviews and value engineering exercises. Required Skills And Qualifications Bachelor’s degree in Mechanical Engineering or related field. 4–8 years of relevant HVAC design experience. Strong knowledge of HVAC design principles, equipment, and systems. Proficiency in: HAP (Hourly Analysis Program), IES VE (Integrated Environmental Solutions), AutoCAD, Revit MEP, Navisworks, and other HVAC design tools and simulation software. Familiarity with UK and Middle East building codes and HVAC standards. Excellent communication and documentation skills. Ability to work independently and as part of a team. Preferred Qualifications Professional certifications (e.g., LEED, CIBSE membership, ASHRAE). Experience with sustainable and energy-efficient HVAC design. Exposure to BIM workflows and coordination. We Can Offer (subject To Company’s Policy) Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen’s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Location(s): Bengaluru, KA, IN Contract Type: Permanent Work Pattern: Full Time Market: Buildings Discipline: Building services Job Ref: 9412 Recruiter Contact: Mamta Divekar

As a successful family-owned company on a path to global growth, the Brose Group offers challenging responsibilities and exciting career opportunities to performance-driven, skilled specialists with solid professional knowledge and proven career expertise who wish to contribute to our company’s success. Your tasks Crash and Static analysis of ‘Seat Components’ and ‘Seats Structure’: Using ANSA software as pre-processor build FEA assemblies of Seat system in LS-Dyna deck profile for mechanism level and full Seats Structure level analysis. Sub tasks include: Meshing, Weld & Bolt connections, Material update, Sets and contact update, penetration removal, loadcase setup, zero ms check run, loadcase calculation (static/dynamic strength in Dyna), checklist update, postprocess & report preparation, and deliver file to senior colleagues in Pune / Global counterpart. Crash and Static analysis of ‘Seat Components’ and ‘Seats Structure’: Study the input work content, estimate the effort hours and prepare execution plan; Perform meshing, material, sets, connections update as per Brose standard practices; Build FE models of systems and subsystems using ANSA as per Brose modeling guidelines; Check the file as per checklists, perform calculation. Post process results and prepare report. Communicate to the team lead and counterparts about project progress in a timely manner. Document the lessons learnt in projects and do knowledge sharing on regular basis. Provide very clear and prior information to the team lead about extended time lines, leaves, etc. Your Profile B.E / B.Tech / M.E / M.Tech in Mechanical/Production or other engineering discipline from a reputed university. Must have a first class career track record in academics. No gaps in Education. Total FEA experience 5~6 years. FEA experience in automotive Seats Structure calculation of 3+ years. Technical Skills: Expert in shell meshing of Sheet-Metal ( BIW - Body In White ) and Plastic parts using ANSA/Hypermesh; Experience in module-build up ( Penetration clearing, Material & Property assigning, Bolt, Weld, Joints, etc ) using ANSA / Hypermesh; Expertise in LS-Dyna deck preparation and debug for Seat System loadcases; Expertise in post processing and report preparation. Very good analytical skills. Ability to learn new things. Good in Engineering Basics – Strength of Materials used in Seats, Engineering Mechanics, Machine Design. Must possess the skill of task planning and time management. We offer you a modern working environment with our Brose working world Brose offers a high-tech work environment and a wide range of benefits. Along with competitive performance-based compensation and health insurance, our employees also benefit from attractive social and family-oriented programs throughout our North American locations*. Our benefits packages include comprehensive medical and insurance. Brose also provides educational assistance and a variety of community outreach, family, and sporting events. Flexible working hours and a collaborative work environment give our employees the freedom to balance work and personal life. Brose believes in investing in people. We offer a wide range of development programs with great opportunity for individual growth through training, international or regional assignments and tailored career paths. Our objective is to provide our employees the tools necessary to live a balanced life, experience a rewarding work environment and contribute to our surrounding communities. Benefits package may vary slightly per location