49 Statistical Models Jobs

Exceptional ability to collaborate with stakeholder teams (Business, product, tech, finance, delivery teams) to prioritize and deliver innovative solutions across projects. Execution-driven and results-oriented to ensure strategy translates to outcomes Patience and stamina to translate long term roadmap into wins and milestones for organizational impact Project management abilities: ability to manage long-term (multi-month) integrations, set timelines, and independently drive the process forward. Explore data, find patterns in large seemingly disparate data sets, and develop solutions that add intelligence / insights and drive decision making for leaders Present insights/findings in a structured manner to directly enable tangible outcomes for stakeholders Identify and develop centralized solutions to solve needs of multiple stakeholders through efficient planning and execution (through automations, dashboards, statistical models, etc.) Quickly grasp external and internal ad tech nuance and leverage to meet business growth Gain deep knowledge of many facets of the mobile advertising business such as ad operations, creative services, project management, sales processes, and product marketing 3+ years of overall work experience within a Tech/Consulting/Analytics industry 3+ years of relevant management experience in a business analyst, data analyst or statistical analyst role 3+ years of work experience with SQL, Python, Advanced Excel, Tableau or PowerBI Should have developed and implemented at least 3 analytics solutions (end to end) which includes translating a business problem into a data analytics problem and providing a sustainable solution

As a Data Scientist specializing in Predictive Analytics and Modelling, your primary responsibilities will include conducting pattern analysis and developing machine learning algorithms to identify trends and opportunities. You will collaborate with Program Managers and Business Analysts to translate business requirements into actionable insights and solutions. Additionally, you will lead efforts in data collection, preparation, and validation, ensuring data quality and comprehensive data management in coordination with data scientists, BI developers, and IT teams. In the role, you will be responsible for testing and validating analytical models using historical and real-time data, as well as piloting solutions with Business Analysts and end-users for iterative improvement. Communication skills are essential as you will be required to present complex findings and technical concepts to non-technical stakeholders in a clear and concise manner. Your role will also involve identifying training needs within the organization related to analytics and data science, conducting knowledge-sharing sessions, and workshops to enhance analytical capabilities across teams. You will manage relationships with external vendors for analytics tools and services while collaborating with industry experts and research institutions to stay updated on emerging trends and best practices in data analytics. You will implement tracking mechanisms to monitor compliance and performance of analytical solutions, gathering feedback from stakeholders for continuous improvement. Project management support will be provided by defining project scopes, timelines, and resource requirements, ensuring adherence to quality standards, processes, and best practices in analytics implementation. The ideal candidate for this role should have a B.E/ B.Tech in Mechanical, Power Engineering, or related field, with an Advanced Degree (MBA, M.Tech) preferred. A minimum of 5-8 years of experience in data science, with at least 3 years of strong proficiency in Python is required. A background in power utilities or similar sectors with a proven track record in deploying analytics models into production and scaling them for real-time data handling is preferred for this position.,

Skill required: Supply Chain - Order Management Designation: Measurement & Report Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Manage planning, procurement, distribution and aftermarket service supply chain operations, helping clients realize $5 for every $1 spent on our services You will be a part of Supply Chain Management team where in you will be accountable to manage the Supply Chain and provide insights which will help in increasing efficiency by doing away with waste and facilitating greater profits. It also involves management of the flow of goods and services and including all processes that transform raw materials into final products. Assess, design, build and Implement best practices on process, organization, and technology for Order Management from Order Creation to Order Fulfillment, financial settlement including order prioritization, purchase order receipt, invoice matching, inventory availability and promise, accuracy and fulfillment, provisioning of services and activation of billing. Includes Distributed Order Management for both on-line and physical network management. What are we looking for We are looking for a highly skilled Data Analytics & Automation Specialist with strong expertise in Power Bl, Python, and Automation tools for VDI environments. The ideal candidate will be responsible for developing advanced dashboards, automating business processes, and integrating analytical solutions to enhance data-driven decision-making. This role requires deep technical proficiency, problem-solving ability, and experience in delivering end-toend automation solutions in enterprise environments. Roles and Responsibilities: Power Bl Development: Design, develop, and maintain interactive dashboards and reports using Power Bl. Optimize Power Bl data models . Python Programming: Develop scripts and automation solutions for data extraction, transformation, and loading (ETL). Implement predictive analytics, machine learning, and statistical models where applicable. Integrate Python-based solutions with Power Bl and other platforms. Automation Design and implement automation workflows within Virtual Desktop Infrastructure (VDI) environments. Utilize scripting and automation tools (e.g., PowerShell, Python, UiPath, or similar) for process optimization. Monitor and maintain automation solutions to ensure reliability and performance. Data Integration & Governance: Connect multiple data sources (SQL, APIs, cloud services) to Power Bl. Ensure data accuracy, consistency, and compliance with company policies. Collaboration & Stakeholder Engagement: Work closely with business teams to understand requirements and translate them into technical solutions. Provide training and support for users on Power Bl reports and automated solutions. Show more Show less

As part of Risk Management and Compliance, you play a pivotal role in ensuring the strength and resilience of JPMorgan Chase. Your contributions aid in fostering responsible growth by proactively identifying new and emerging risks. Your expert judgement enables you to tackle real-world challenges that have a profound impact on our company, customers, and communities. Embracing a culture of innovation, Risk Management and Compliance encourages you to think creatively, challenge conventional norms, and aspire to achieve excellence. You will be an integral member of the MRGR team, a global group of modeling experts within JPMorgan Chase's Risk Management and Compliance division. Your primary responsibilities involve conducting independent model validation and governance activities to mitigate Model Risk effectively. The overarching goal is to ensure that models are suitable for their intended purpose, aligned with business requirements, and that users are well-informed about any limitations that could influence decision-making processes. Joining the MRGR team offers you a unique opportunity to be at the forefront of model validation and governance initiatives. This role provides exposure to a diverse range of model types and state-of-the-art modeling techniques. You will collaborate with some of the brightest minds in the firm, expanding your knowledge of various forecasting models. Leveraging this expertise, you will contribute to shaping business strategies and safeguarding the organization's interests. **Job Responsibilities:** - Establish and uphold robust standards for model development practices, adapting them to meet evolving industry benchmarks - Assess compliance with development standards, evaluating aspects such as model design integrity, assumption rationality, input reliability, testing thoroughness, implementation accuracy, and performance metric relevance - Identify weaknesses, constraints, and emerging risks through independent testing, construction of benchmark models, and continuous monitoring - Communicate risk evaluations and findings to stakeholders, documenting them in detailed technical reports of high quality - Support the firm in ensuring the ongoing appropriateness of model usage and managing the aggregate model risk within defined risk thresholds **Required Skills, Experience, and Qualifications:** - A Master's degree in a quantitative field (e.g., Math, Physics, Engineering, Statistics, Economics, or Finance) is mandatory - 0-2 years of experience in a quantitative or modeling role - Profound knowledge of statistical/econometric models like linear, logistic, and time series models is essential - Proficiency in programming languages such as Python, R, or equivalent - Familiarity with financial markets is advantageous - Exceptional verbal and written communication skills, with the ability to engage with various functional areas within the firm on model-related matters and produce high-caliber technical reports - Experience working with extensive datasets is desirable **Preferred Skills, Experience, and Qualifications:** - Prior involvement in mortgage or CRE risk model development or validation is a plus - Previous exposure to financial products/markets and regulatory stress testing (CCAR/ICAAP) is beneficial,

Job Description Change the world. Love your job. Texas Instruments (TI) is out front and ready for the next big challenge. Our innovations are at the core of nearly every electronics product in use today. And it doesn&apost stop there. We&aposre developing breakthrough technology to power the world&aposs future innovations as well. TI is committed to building a better future from the responsible manufacturing of our semiconductors, to caring for our employees, to giving back inside our communities. Put your talent to work with us. This is a great opportunity to be part of an established team that&aposs continuing to look for growth opportunities, working with worldwide leading customers and developing cutting edge solutions in the areas of consumer electronics, mobile computing and communications. Key Responsibilities In this role, responsibilities may include: Lead Data Science Projects Guide the entire project lifecycle, from scoping and planning to execution and deployment of data science solutions. Develop And Implement Machine Learning Models Design, build, and optimize machine learning algorithms and statistical models to address specific business challenges. Data Analysis And Interpretation Analyze complex datasets, extract meaningful insights, and translate them into actionable recommendations for stakeholders. Mentorship And Guidance Provide technical leadership and mentorship to junior data scientists, fostering their growth and development within the team. Stakeholder Communication Effectively communicate findings and insights to both technical and non-technical audiences, including senior management and business partners. Collaboration Work closely with cross-functional teams, including engineers, product managers, and business analysts, to ensure successful implementation of data science solutions. Qualifications Data Strategy and Innovation: Minimum Requirements Bachelor&aposs degree in Electrical Engineering XX years of relevant experience Preferred Qualifications Ability to establish strong relationships with key stakeholders critical to success, both internally and externally Strong verbal and written communication skills Ability to quickly ramp on new systems and processes Demonstrated strong interpersonal, analytical and problem-solving skills Ability to work in teams and collaborate effectively with people in different functions Ability to take the initiative and drive for results Strong time management skills that enable on-time project delivery About Us Why TI Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. We&aposre different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. About Texas Instruments Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com . Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. If you are interested in this position, please apply to this requisition. About The Team TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment. Show more Show less

Tech options is a Quant Research and Algo Development startup located in Andheri West, Mumbai, Maharashtra. We are currently seeking dynamic and experienced live execution deployment engineers to join our team. The ideal candidate should be capable of executing trading strategies in a live market scenario, specifically focusing on Equity & Index Derivatives. Responsibilities include implementing and live execution of trading strategies based on technical indicators, arithmetic and statistical models, price action base, and multi-indicators based strategy. The candidate should be able to execute multiple timeframes and strategies simultaneously, as well as display P&L Dashboards, Charts, and Visual tables. Additionally, the role involves data management from various vendors, coding skills in Python and C++, server management skills, and API's integration knowledge and execution with brokers. Qualifications: - Software Developers / Software Engineers / Certified Python and C++ professionals - Minimum of 2 years of experience in the same field is a must If you are interested and meet the qualifications for this position, please apply by sending your resume to careers@techoptions.in.,

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. MRGR is a global team of modeling experts within the firm's Risk Management and Compliance organization. The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm. The objective is to ensure that models are fit for purpose, used appropriately within the business context for which they have been approved, and that model users are aware of the model limitations and how they could impact business decisions. Being part of the MRGR team will put you at the center of the firm's model validation and governance activities with exposure to a wide variety of model types and cutting-edge modeling techniques, while frequently interacting with the best and brightest in the firm. You will expand your knowledge of the different forecasting models used in the firm, their unique limitations, and use that knowledge to help shape business strategy and protect the firm. This role will perform the following model risk management activities: - Set standards for robust model development practices and enhance them as needed to meet evolving industry standards - Evaluate adherence to development standards including soundness of model design, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics - Identify weaknesses, limitations, and emerging risks through independent testing, building of benchmark models, and ongoing monitoring activities - Communicate risk assessments and findings to stakeholders, and document in high-quality technical reports - Assist the firm in maintaining (i) the appropriateness of ongoing model usage, and (ii) the level of aggregate model risk within risk appetite Minimum Skills, Experience, and Qualifications: We are looking for someone excited to join our organization. If you meet the minimum requirements below, you are encouraged to apply to be considered for this role. - Masters degree in a quantitative field such as Math, Physics, Engineering, Statistics, Economics, or Finance is required - 0-2 years of experience in a quantitative or modeling role - Deep understanding of statistical/econometric models such as linear, logistics, and time series models, is required - Proficiency in Python, R, or equivalent - Knowledge of financial markets is preferred - Strong communication skills verbally and particularly in writing, with the ability to interface with other functional areas in the firm on model-related issues and write high-quality technical reports - Experience with large datasets is preferred Additional Skills, Experience, and Qualifications: The following additional items will be considered but are not required for this role: - Prior experience in mortgage or CRE risk model development or validation is a plus - Prior experience in financial products/markets and regulatory stress testing (CCAR/ICAAP) is a plus,

We have an exciting and rewarding opportunity for you to impact your career and provide an adventure where you can push the limits of what's possible. Our team focuses on applying GenAI, ML, and statistical models to solve business problems in the Global Wealth Management space. As a Lead Software Engineer - Infrastructure Cloud at JPMorgan Chase within the Asset and Wealth Management Technology Team, you will collaborate with development teams to enhance the developer experience, delivering end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications. You will be involved in the design and architecture of solutions, focusing on the entire SDLC lifecycle stages. Our team works in tribes and squads, allowing you to move between projects based on your strengths and interests, making a significant impact on our clients and business partners worldwide. Job responsibilities Collaborate with development teams to enhance the developer experience, providing tools and infrastructure that support agile methodologies and continuous integration/continuous deployment. Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches. Create secure and high-quality production code to deploy infrastructure. Develop and maintain automated pipelines for model/product deployment, ensuring scalability, reliability, and efficiency. Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse sets for continuous improvement of software applications and systems. Identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture. Contribute to software engineering communities of practice and events that explore new and emerging technologies. Add to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and 5+ years of applied experience. Hands-on practical experience in system design, application development, testing, and operational stability. Proficient with Public Cloud services in Production (AWS or other) with proficiency in Python scripting language. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python) and database querying language. Experience with Infrastructure as Code (Terraform or other). Experience in applied AI/ML engineering, with a track record of deploying business critical GenAI, machine learning models in production. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, mobile, etc.). Ability to tackle design and functionality problems independently. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Experience in architecting, supporting, and implementing advanced, strategic CICD migrations. Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects. Preferred qualifications, capabilities, and skills Experience with any of GitHub, GitHub Actions, Artifactory, Terraform Cloud, Slack, Grafana, SonarQube is considered a plus. Experience in designing and implementing AI/ML/LLM/GenAI pipelines. Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.,

Job Title: Lead Quant Analyst, Credit Quants About the Team: DBRS Morningstar Credit Ratings, LLC is registered with the U.S. Securities and Exchange Commission as a nationally recognized statistical rating organization (NRSRO). DBRS Morningstar Credit Ratings issues credit ratings on a variety of security types including corporate and structured finance securities. This Morningstar subsidiary aims to increase market transparency by providing the highest-quality ratings, securities research, monitoring services, operational risk assessments, data, and tools. DBRS Morningstar is a global credit ratings business, formed through the July 2019 acquisition of DBRS by Morningstar, Inc., the ratings business is the fourth-largest provider of credit ratings in the world. DBRS Morningstar is committed to empowering investor success, serving the market through leading-edge technology and raising the bar for the industry. DBRS Morningstar is a market leader in Canada, the U.S. and Europe in multiple asset classes. DBRS Morningstar is driven to bringing more clarity, diversity of opinion, and responsiveness to the ratings process. DBRS Morningstars approach and size provide the agility to respond to customers needs, while being large enough to provide the necessary expertise and resources. The Role: As a Quant Analyst you will execute proprietary research pertaining to building data building various types of credit rating models, such as default models, cashflow models, capital models, regression models covering asset classes of ABS, CMBS, Covered Bond, RMBS, Structured Credit, Corporates, Financial Institutions and Sovereigns. The Credit Ratings Modeling team will collaborate with members from the Credit Ratings, Credit Practices, Independent Review, Data and Technology teams to create class leading models that are as innovative as they are easy to understand in the marketplace. You will be expected to adopt an "iron sharpens iron" attitude where the focus is on making everyone better. The ideal candidate will demonstrate Quant research skills in Credit Modeling alongside Quant Modeling skills such as statistics, Machine Learning, numerical optimization & software engineering skillset within Fintech eco space. This position reports to the Senior Manager of Quantitative Research, Technology. Responsibilities: Support methodology development, Quant Model builds & enhancements for core Quant products as credit predictive models, etc. Participate in building next generation of credit modelling. Maintain and enhance proprietary Python libraries related to model building Leverage structured and unstructured datasets to build new Quant frameworks that would help analysts in informed decision making. Assisting development of Analytics-based solutions, taking ownership of the design and development of solutions to scale information ingestion, storage, computation (training/inference), validation. Participate in analyst conversations for understanding ongoing analyst issues. Requirements: 4 to 5 years of investment research / rating agencies experience with emphasis on fixed income research / analysis, credit modelling. CFA, CQF or postgraduate degree in finance, economics, mathematics, statistics is highly desired. Experience developing Financial Engineering/ Statistical applications on cloud. Experience of statistical models (Regression, Monte Carlo simulations, Numerical Optimization etc.) Experience of developing Quant Models using Python. Experience engineering models on big data. Understanding of both business and technical requirements, and the ability to serve as a conduit between rating team, research and technology Familiarity fixed income. Morningstar is an equal opportunity employer About Us Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. Rating more than 4,000 issuers and 60,000 securities, it is one of the top four credit rating agencies in the world. Morningstar DBRS empowers investor success by bringing more transparency and a much-needed diversity of opinion in the credit rating industry. Our approach and size allow us to be nimble enough to respond to customers' needs in their local markets, but large enough to provide the necessary expertise and resources they require. Market innovators choose to work with us because of our agility, tech-forward approach, and exceptional customer service. Morningstar DBRS is the next generation of credit ratings. If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker. Morningstars hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, weve found that were at our best when were purposely together on a regular basis, typically three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, youll have tools and resources to engage meaningfully with your global colleagues. R11_DBRSRatingsGmbHIndia DBRS Ratings GmbH, Branch India Legal Entity Show more Show less

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. MRGR is a global team of modeling experts within the firm's Risk Management and Compliance organization. The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm. The objective is to ensure that models are fit for purpose, used appropriately within the business context for which have been approved, and that model users are aware of the model limitations and how they could impact business decisions. Being part of the MRGR team will put you at the center of the firm's model validation and governance activities with exposure to a wide variety of model types and cutting-edge modeling techniques, while frequently interacting with the best and brightest in the firm. You will expand your knowledge of the different forecasting models used in the firm, their unique limitations, and use that knowledge to help shape business strategy and protect the firm. This role will perform the following model risk management activities: - Set standards for robust model development practices and enhance them as needed to meet evolving industry standards - Evaluate adherence to development standards including soundness of model design, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics - Identify weaknesses, limitations, and emerging risks through independent testing, building of benchmark models, and ongoing monitoring activities - Communicate risk assessments and findings to stakeholders, and document in high-quality technical reports - Assist the firm in maintaining (i) the appropriateness of ongoing model usage, and (ii) the level of aggregate model risk within risk appetite Minimum Skills, Experience, and Qualifications: We are looking for someone excited to join our organization. If you meet the minimum requirements below, you are encouraged to apply to be considered for this role. - Masters degree in a quantitative field such as Math, Physics, Engineering, Statistics, Economics, or Finance is required - 0 - 2 years of experience in a quantitative or modeling role. - Deep understanding of statistical/econometric models such as linear, logistics, and time series models is required - Proficiency in Python, R, or equivalent - Knowledge in financial markets is preferred - Strong communication skills verbally and particularly in writing, with the ability to interface with other functional areas in the firm on model-related issues and write high-quality technical reports - Experience with large data sets is preferred Additional Skills, Experience, and Qualifications: The following additional items will be considered but are not required for this role: - Prior experience in mortgage or CRE risk model development or validation is a plus - Prior experience in financial products/markets and regulatory stress testing (CCAR/ICAAP) is a plus,

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers, and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo, and striving to be best-in-class. MRGR is a global team of modeling experts within the firm's Risk Management and Compliance organization. The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm. The objective is to ensure that models are fit for purpose, used appropriately within the business context for which have been approved, and that model users are aware of the model limitations and how they could impact business decisions. Being part of the MRGR team will put you at the center of the firm's model validation and governance activities with exposure to a wide variety of model types and cutting edge modeling techniques, while frequently interacting with the best and brightest in the firm. You will expand your knowledge of the different forecasting models used in the firm, their unique limitations, and use that knowledge to help shape business strategy and protect the firm. This role will perform the following model risk management activities: - Set standards for robust model development practices and enhance them as needed to meet evolving industry standards - Evaluate adherence to development standards including soundness of model design, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics - Identify weaknesses, limitations, and emerging risks through independent testing, building of benchmark models, and ongoing monitoring activities - Communicate risk assessments and findings to stakeholders, and document in high-quality technical reports - Assist the firm in maintaining (i) appropriateness of ongoing model usage, and (ii) the level of aggregate model risk within risk appetite Minimum Skills, Experience, and Qualifications: We are looking for someone excited to join our organization. If you meet the minimum requirements below, you are encouraged to apply to be considered for this role. - Masters degree in a quantitative field such as Math, Physics, Engineering, Statistics, Economics, or Finance is required - 0-2 years of experience in a quantitative or modeling role - Deep understanding of statistical/econometric models such as linear, logistic, and time series models is required - Proficiency in Python, R, or equivalent - Knowledge in the financial market is preferred - Strong communication skills verbally and particularly in writing, with the ability to interface with other functional areas in the firm on model-related issues and write high-quality technical reports - Experience with large datasets is preferred Additional Skills, Experience, and Qualifications: The following additional items will be considered but are not required for this role: - Prior experience in mortgage or CRE risk model development or validation is a plus - Prior experience in financial products/markets and regulatory stress testing (CCAR/ICAAP) is a plus,

You should have a Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. Additionally, you should possess 1-3 years of experience applying machine learning techniques to solve complex data problems. It is important to have a strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods. Experience with data preprocessing, feature engineering, and data visualization techniques is required. Proficiency in Python programming and experience working with big data tools such as Spark are essential for this role. Your role will require excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Strong problem-solving skills and attention to detail are also crucial. You should have experience with agile development methodologies and version control tools such as Git. Preferred qualifications for this position include experience working with natural language processing (NLP) techniques, familiarity with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of cloud computing platforms such as AWS, GCP, or Azure. If you meet these requirements and possess the desired qualifications, we encourage you to apply for this position.,

Who We Are Wayfair is moving the world so that anyone can live in a home they love a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfairs Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfairs advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. What Youll do Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities. Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes. Raise technical standards across the team by promoting best practices in ML system design and development. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. We Are a Match Because You Have : Bachelor&aposs or Masters degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of experience in building large scale machine learning algorithms. 4+ years of experience working in an architect or technical leadership position. Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication. Ability to partner cross-functionally to own and shape technical roadmaps Intellectual curiosity and a desire to always be learning! Nice to have Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows. Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning. About Wayfair Inc. Wayfair is one of the worlds largest online destinations for the home. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. Were a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair and world for all. Every voice, every perspective matters. Thats why were proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here: https://www.wayfair.com/careers/privacy). If you have any questions regarding our processing of your personal data, please contact us at [HIDDEN TEXT]. If you would rather not have us retain your data please contact us anytime at [HIDDEN TEXT]. Show more Show less

You should possess 5-6 years of professional experience, with a minimum of 3 years in Data Science/Analytics. Proficiency in hands-on Python programming is required. You must be capable of independently developing and deploying AI/ML models from scratch. A good understanding of AI/ML and Statistical models is essential. The role also involves Data Analysis, Visualization, and Reporting. Experience in Splunk and Grafana is considered a plus. At GlobalLogic, you will have the opportunity to work on exciting projects in industries such as High-Tech, communication, media, healthcare, retail, and telecom. You will collaborate with a diverse team of highly talented individuals in a laidback environment. We prioritize work-life balance by offering flexible work schedules, work-from-home opportunities, paid time off, and holidays. Professional development is important to us. Our Learning & Development team organizes various training programs including Communication skills training, Stress Management programs, professional certifications, and technical and soft skill trainings. We provide competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance, NPS (National Pension Scheme), health awareness programs, extended maternity leave, annual performance bonuses, and referral bonuses. In addition to the above benefits, we offer fun perks such as sports events, cultural activities, food at subsidized rates, corporate parties, dedicated GL Zones, rooftop decks, and the GL Club. Our offices provide a vibrant environment with discounts for popular stores and restaurants. GlobalLogic is a leader in digital engineering, helping brands worldwide design and build innovative products, platforms, and digital experiences. Our expertise in experience design, complex engineering, and data enables our clients to envision the future and transition into digital businesses. Headquartered in Silicon Valley, we operate design studios and engineering centers globally, serving customers in various industries including automotive, communications, financial services, healthcare, manufacturing, media and entertainment, semiconductor, and technology. As a Hitachi Group Company under Hitachi, Ltd. (TSE: 6501), we drive innovation through data and technology to contribute to a sustainable society with a higher quality of life.,

At Oracle Cloud Infrastructure (OCI), the future of cloud computing for Enterprises is being shaped by a diverse team of creators and innovators. Acting with the speed and mentality of a start-up, we maintain the scale and customer-focus of the world's leading enterprise software company. Our values form the bedrock of OCI, guiding us towards achieving excellence. We are dedicated to equity, inclusion, and respect for all individuals. Committed to the greater good in both our products and actions, we prioritize continuous learning and personal growth opportunities. Within our team, we challenge each other to transcend past achievements and collectively build a better future. As part of the AI Data organization, you will engage with fascinating challenges at the convergence of artificial intelligence and cutting-edge cloud infrastructure. Our focus involves developing cloud services utilizing Large Language Models (LLMs) and other generative models to create synthetic data for various applications including text, speech, vision, and multi-modal scenarios. Additionally, we are establishing ML benchmarking standards and frameworks to ensure the highest quality across verticals such as Healthcare and Fusion. You will operate at the IC2/IC3 career level with the following responsibilities: - Design and construct world-class Generative AI Models in text, vision, and multimodal settings for generating synthetic data. - Research and implement cutting-edge techniques such as Fine-tuning and RLHF to align Generative models with specific problem domains. - Develop tools for data acquisition, cleaning, augmentation, model training, and visualization. - Evaluate and implement ML/Deep learning/GenAI models from research papers and other public resources. - Optimize models for production usage and assist in productizing generation scenarios. - Create production code for feature processing, model prediction, serving, and monitoring in real-time and batch scenarios. - Engage in the entire software lifecycle including development, testing, CI, and production operations. - Strike a balance between product feature development and production operational considerations. Minimum Qualifications for this role include: - Ph.D. degree or Masters degree or equivalent experience in computer science, artificial intelligence, machine learning, operations research, or related technical field. - 5+ years with Masters or 3+ years with PhD of applying machine learning to solve real-world problems in industry. - Proficiency in Python or R. - Proficiency with at least one deep learning library (Pytorch, Tensorflow, or Keras) for building and deploying DNN models in production. - Expertise in NLP, Transformers, Large Language Models, and hugging face library. Optimization of LLM training and serving. - Experience in statistical models, Machine Learning solutions, and large scale Deep learning model development and serving across different data domains. - Proficiency in traditional ML libraries like scikit-learn, statsmodels, and pandas. - Track record of delivering large-scale ML solutions for complex business challenges. - Experience in production operations and ensuring quality code deployment with the ability to troubleshoot issues effectively. - Strong communication skills for articulating technical ideas through verbal and written means. At Oracle, we are committed to fostering an inclusive workforce that values diverse perspectives and backgrounds. Our dedication to innovation is fueled by hearing every voice, inspiring us to surpass previous achievements. Operating with integrity for over 40 years, we collaborate with industry leaders across various sectors. We prioritize work-life balance through a competitive suite of employee benefits designed on the principles of fairness and consistency. Our comprehensive benefits package includes flexible medical, life insurance, and retirement options. Employees are encouraged to contribute to their communities through volunteer programs. We are devoted to integrating individuals with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation due to a disability, please contact us at +1 888 404 2494, option one. Disclaimer: Oracle is an Equal Opportunity Employer in the United States.,

Are you searching for an exciting opportunity to become a part of a dynamic and expanding team operating in a fast-paced and challenging environment This position presents a unique chance for you to collaborate with the Business team and offer a comprehensive perspective. As a Vice President in the AI-first Strategic and Market Intelligence team at J.P. Morgan's Commercial & Investment Bank, you will play a key role in establishing the team, defining its strategic direction, promoting an AI-driven mindset, and using advanced analytics to produce actionable insights. Your responsibilities will involve leading an agile team to provide strategic research and intelligence to the management team of the Commercial & Investment Bank, as well as formulating and advocating the research strategy in accordance with the business priorities of the Commercial & Investment Bank. Your main duties will include defining and steering the research strategy in alignment with the CIB's business priorities, establishing clear objectives and deliverables for the team, staying abreast of AI application advancements to continuously enhance the research and insight generation process, acting as a change agent by embracing new AI applications for improved research and insight generation, utilizing various data sources to create analytical and statistical models for trend identification and analysis, and utilizing a profound understanding of the CIB and its strategic objectives to evaluate the impact of emerging trends on the business. Additionally, you will oversee all research outputs to ensure accuracy, relevance, and actionable recommendations that drive strategic value, and cultivate a culture of excellence within the team by consistently aiming to enhance the precision, speed, and impact of research materials. The qualifications, capabilities, and skills required for this role include an advanced degree in business administration, finance, economics, technology, or a related field, a minimum of 10 years of experience in a strategic leadership capacity, and an innovative AI-first mindset with familiarity in modern research tools. Preferred qualifications consist of knowledge of machine learning techniques for synthesizing complex data into impactful insights and strategic recommendations, exceptional written communication skills for creating compelling and persuasive research reports and presentations, a track record of leading high-performing teams and driving strategic initiatives, senior-level experience in strategy, consulting, or innovation within the financial services sector, and familiarity with the financial services industry. If you are an experienced professional looking to make a significant impact in a strategic leadership role within a dynamic and forward-thinking team, this position offers an exciting opportunity to contribute to the growth and success of J.P. Morgan's Commercial & Investment Bank.,

About Biz2X Biz2X is the leading digital lending platform, enabling financial providers to power growth with a modern omni-channel experience, best-in-class risk management tools, and a comprehensive yet flexible Servicing engine. The company partners with financial institutions to support their Digital Transformation efforts with Biz2X's digital lending platform. Biz2X solutions not only reduce operational expenses but also accelerate lending growth by significantly improving client experience, reducing total turnaround time, and equipping relationship managers with powerful monitoring insights and alerts. Key Responsibilities: You will be responsible for building credit risk models, driving underwriting and credit decisions, and ensuring optimization across risk, pricing, and business growth. You'll play an important role in shaping our lending products and processes, ensuring they are built on a solid foundation of prudent risk management. - Credit Decisioning: Leverage or build advanced credit risk models (functional rule-based/heuristics and machine learning models) and lead critical credit decisions. - Policy Development: Assist in drafting a detailed risk policy for the business loan business and closely monitor the adherence to the same. - Data Utilization: Work extensively with Credit Bureau, Bank statement, financial data. Identify and evaluate alternate data features to explore credit expansion opportunities. - Team Development: Coach and mentor younger team members to create a world-class credit team both in functional credit analysis and machine learning-based models. - Reporting and Monitoring Systems: Drive robust monitoring and alerting systems for early warning signals of delinquencies in the portfolio, ensuring agility in decision-making. Perform Root cause analysis and present those to stakeholders in a timely fashion. - Underwriting: Responsible for managing the underwriting operations and performing risk assessment for various policies. You Should Apply If You: - Risk professional with 4+ years of experience across a bank/NBFC with experience across retail-individual and retail business (micro-businesses) underwriting/fraud/risk/collection. - Strong hands-on experience and expertise in building Machine Learning-based underwriting statistical models. - Deep domain/functional knowledge in credit underwriting/credit analysis. - Proven experience in underwriting risk management in the fintech or financial services industry, with a focus on credit risk. - Strong knowledge of fintech products, unsecured lending products, services, and technologies, as well as the regulatory landscape governing the industry. - Experience in Product and Credit Policy formulation, Collections and Recovery, Fraud, and Operational Risks. - Exceptional analytical and problem-solving skills, with the ability to assess complex situations and make sound decisions. - Strong leadership capabilities with the ability to build and lead a high-performing risk management team. - Excellent Analytical and Data Science capabilities. Apply on - https://app.intalent.ai/biz2credit/recruitment/candidate/new/366,

Job Description: FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., a top 20 U.S. financial institution, is a global capability center (GCC) based in Bengaluru. Our India-based teams benefit from the company's over 125-year legacy of strength and stability. First Citizens India is responsible for delivering value and managing risks for our lines of business. We are particularly proud of our strong, relationship-driven culture and our long-term approach, which are deeply ingrained in our talented workforce. This is evident across all key areas of our operations, including Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration. We are seeking talented individuals to join us in our mission of providing solutions fit for our clients" greatest ambitions. Role: Director - Model Risk Management Level: L4 Job Category: Director About The Job: The Model Risk Management (MRM) provides oversight for the MRM Framework, which consists of the policy, processes, and procedures. The Director, Model Risk Management (MRM) will be responsible for supporting the development and enhancement of First Citizens global model risk policy, standards, methodologies, procedures, governance, tuning, and validation activities to strengthen and unify model risk practices across all entities. You will be based out of First Citizens India (FCI) office in Bangalore, report into the Head of Risk Management, India, and function as an integral member of the global MRM organization. The role will dually report into the global Head of MRM and work collaboratively with the global MRM leadership team and act as their point of contact in India. You will be responsible for supporting all aspects of the global MRM program. The successful candidate will lead global MRM efforts to ensure that models are appropriately designed, implemented, and managed, including but not limited to conceptual soundness, model implementation and use, model documentation, model performance monitoring, governance, tuning, and validation. You will be responsible for developing talent capabilities at FCI to provide global support to the MRM organization. This includes but is not limited to hiring, coaching, mentoring, supervision, and other people management responsibilities in a transparent manner and in consultation with key global stakeholders. The role will manage a team of resources with solid MRM experience and skills, partners with global stakeholders to establish effective collaboration and partnership to build and manage talent capabilities. Communicates and collaborates across a broad set of stakeholders and is responsive to changes in the business environment. The Ideal Candidate Will: Functional (80% of Time): - Lead efforts to develop and maintain model governance documentation and performance monitoring, including periodically presenting results to MRM Leadership. - Oversee model risk management across the entire model life cycle - development, validation, implementation, and retirement, ensuring that adequate controls are in place to manage model risk. - Collaborate with internal stakeholders across business units to enhance alignment in implementing MRM policy/standards and promote MRM best practices. - Manage the model inventory and annual attestation process to ensure its completeness and accuracy. Work with key stakeholders to enhance the oversight and control of adherence to the MRM standards. - Assist with ongoing KRI review of model output to identify model drift/breaches and ensure appropriate periodic or event-based tuning, with a focus on both efficiencies and effectiveness. - Manage the model finding inventory while engaging stakeholders to ensure appropriate remediation actions are executed in a timely and effective manner. - Act as a strategic partner for initiatives and changes, including working with business, compliance, or technology partners to understand requirements and provide solutions while ensuring appropriate risk mitigation. - Ensure appropriate documentation in model development, tuning, and appropriate independent validation coverage and documentation of independent review. - Direct and maintain tuning schedules for applicable models, including analyzing outputs, documenting results, and presenting recommended changes along with impact analysis to leadership. - Act as the FCI point-of-contact for responding to MRM and regulatory exam inquiries, including representing global approach and execution, facilitating walkthroughs and requisition of document/data requests, actively engaging in status meetings, and providing updates to MRM leadership. - Build relationships across model owners, data scientists, Model Risk Management, Audit, and third-party vendors. - Use subject matter expertise and analytics to proactively identify and address gaps and identify emerging risks. - Lead remediation efforts for model-related issues identified through exams, audits, and model validations. Leadership and People Management (20% of Time): - Define talent/skill needs and resource requirements, keeping in mind process evolution and emerging technologies. - Provide a clear definition of roles, responsibilities, individual goals, and performance objectives for the team. - Provide regular, constructive feedback to maximize the positive impact of individual team members" talent. - Create and support a collaborative team environment. - Build collaborative and effective partnership with MRM functional leads to ensure seamless support and delivery of services. Decisions: - Routinely makes recommendations that require approval to implement with the occasional decision without approval. - Occasionally makes recommendations that require approval; does not make impactful decisions that do not require approval. Routinely follows defined process. What You'll Bring: - Excellent written and spoken communications skills. - Strategic planning skills supported with analytical skills. - Team management and people management skills. - Planning and execution skills. - Stakeholder management skills, e.g., effective forward-looking planning, communication, and delivery of services. - Able to effectively manage tasks as agreed and delegate work among team members. - Efficient and well-organized workflow and process design skills. - Outstanding attention to detail, accuracy of information. - Ability to effectively collaborate and influence to lead cross-functional teams. Education And Experience: - Relevant Bachelor/Masters degree/PhD, with a preference for specialization in Statistics, Mathematics, or other quantitative discipline. - Microsoft Office (Word, Excel, PowerPoint, and Outlook). - 15+ years of MRM work experience in financial services. - 8+ years of experience in managing people and functions. - Knowledge of statistical and machine learning models. - Experience of managing/leading process improvement initiatives. - Good knowledge in programming skills (Python, SAS, R, etc.). - Strong understanding of model development and validation testing techniques. - Knowledge of financial services/banking domain. Equal Employment Opportunity.,

As a Senior ML Scientist in the Advertising Optimization & Automation Science team at Wayfair, you will play a crucial role in leveraging machine learning and generative AI to streamline campaign workflows. Based in Bangalore, India, you will contribute to building intelligent systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. Your responsibilities will include designing and implementing intelligent budget, tROAS, and SKU recommendations, as well as simulation-driven decisioning to enhance advertiser outcomes and unlock substantial commercial value. In collaboration with cross-functional teams, you will lead the development of GenAI-powered creative optimization and automation to drive incremental ad revenue and improve supplier outcomes. Additionally, you will elevate technical standards by promoting best practices in ML system design and development across the team. The ideal candidate for this role possesses a Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or a related field, along with 9+ years of experience in building large-scale machine learning algorithms. You should have a strong theoretical understanding of statistical models and ML algorithms, proficiency in programming languages such as Python, and experience with relevant ML libraries like TensorFlow and PyTorch. Strategic thinking, customer-centric mindset, and a desire for creative problem-solving are essential qualities for success in this position. Additionally, you should be adept at influencing senior-level stakeholders, possess excellent communication skills, and demonstrate the ability to shape technical roadmaps through cross-functional partnerships. Nice-to-have qualifications include experience with GCP, Airflow, and containerization, as well as familiarity with Generative AI and agentic workflows. Knowledge of Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning is also advantageous. By joining Wayfair, you will be part of a dynamic and innovative team that is dedicated to reinventing the way people shop for their homes. If you are looking for a fast-paced environment that offers continuous learning and growth opportunities, Wayfair may be the perfect place for you to advance your career.,

You will be responsible for developing, training, and fine-tuning Machine Learning models for AI/ML applications. This includes designing and implementing data pipelines for data processing, model training, and inference. Additionally, you will be deploying models using MLOps and integrating them with cloud infrastructure. Collaboration with product managers and designers to conceptualize AI-driven features will also be a key part of your role. You will also be expected to research and implement various ML and AI techniques to improve performance. To excel in this role, you should have proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, PyTorch. Experience with SQL and ETL data pipelines, including data processing and feature engineering, will be beneficial. Familiarity with Docker and container-based deployments to create cloud-agnostic products is required. A strong understanding of AI and Machine Learning concepts such as Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning is essential. Knowledge of at least one cloud platform (AWS, Azure, GCP) and ML deployment strategies, preferably Azure, is preferred. Exposure to LLMs (e.g., OpenAI, Hugging Face, Mistral) and foundation models will be an advantage. Understanding of various Statistical models is also expected. If you have 5 to 7 years of experience in the relevant field and possess the mentioned skills and qualifications, we would like to hear from you.,

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging area This unique opportunity allows you to work in our team and partner with the Business to provide a comprehensive view. As a Vice President within the AI-first Strategic and Market Intelligence team at J.P. Morgan's Commercial & Investment Bank, you will be responsible for spearheading the establishment of the team, setting its strategic direction, fostering an AI-promoting mindset, and leveraging advanced analytics to generate actionable insights. Your role will involve leading a high-impact, agile team to deliver strategic research and intelligence to the Commercial & Investment Bank Management team, defining and promoting the research strategy in alignment with the business priorities of the Commercial & Investment Bank. Job Responsibilities: - Define and drive the research strategy in alignment with the CIB's business priorities, setting clear objectives and deliverables for the team. - Stay informed about AI application developments, both internally and externally, to constantly look for ways to enhance the research and insight generation process. - Act as a change agent, demonstrating agility in adopting new AI applications to enhance the research and insight generation process. - Leverage diverse data points, including internal data, qualitative information, and expert inputs, to develop analytical and statistical models for trend identification and emerging trend analysis. - Develop and utilize a deep understanding of the CIB and its strategic priorities to assess the impact of emerging trends on the business. - Oversee all research deliverables, ensuring accuracy, relevance, and actionable recommendations that drive strategic value. - Build a "culture of excellence" within the team, constantly seeking to improve accuracy, speed, and impact of research deliverables. Required qualifications, capabilities, and skills: - Advanced degree in business administration, finance, economics, technology, or a related field. - Minimum 10 years of experience in a strategic leadership role, preferably with. Preferred qualifications, capabilities, and skills: - Innovative AI-first mindset and familiarity with modern research tools; proven success at leveraging tools for problem-solving and answering strategic business questions. - Knowledge of machine learning techniques to synthesize complex data into high-impact insights and strategic recommendations. - Excellent written communication skills, with the ability to produce engaging and persuasive research reports and executive-ready presentations. - Demonstrated success in leading high-performing teams and driving strategic initiatives. - Proven senior-level experience in strategy, consulting, or innovation within the financial services industry. - Knowledge of the financial services sector is preferred.,

Join us as an Assistant Vice President- Credit Strategy at Barclays, where you will spearhead the development of Credit Strategies for some of the well-known co-brand credit cards. You will utilize industry-leading tools to enhance credit strategies. You may be assessed on key skills relevant for success in the role, such as experience with SAS/SQL, knowledge of Lending products especially Credit cards, understanding of the credit underwriting process, as well as job-specific skillsets. To be successful as an Assistant Vice President - Credit Strategy, you should have experience with: Basic/ Essential Qualifications: - College degree required; quantitative disciplines preferred; master's degree preferred - Analytical experience in the financial services industry; credit card experience preferred - Experience building underwriting and/or line assignment credit strategies - Experience with SAS/SQL or other relevant statistical tools Desirable skillsets/ good to have: - Strong analytical, technical, and statistical skills with a proven ability to process vast amounts of data into meaningful information - Strong knowledge of SQL, SAS, and Excel - Strong communication skills, with the ability to present information clearly, in both written and verbal form - Previous experience in the Financial Services Industry and Credit Risk Management Preferred - Ability to thrive in a dynamic and fast-paced environment Key Accountabilities: - Utilizing segment-level valuations, develop Credit Strategies (Underwriting, Line, and Pricing) for the US Partner Portfolio (50%) - Evaluate alternative data for underwriting and line assignment strategies using statistical analysis techniques such as CHAID Decision Trees, optimization procedures, loss forecasting, enhanced process monitoring, data quality analyses, and incorporate score implementations supporting launch (20%) - Develop and monitor customized manual underwriting process (10%) - Work with Segment / Strategic Analytics / Decision Science staff to ensure project completion within agreed time frames and end-client satisfaction (10%) - Analyze, validate, track, and monitor delivered projects (100%) Stakeholder Management and Leadership: The person in this role will interact with Customer Office, Credit Risk, Finance, Segment teams, Customer Delivery, and Technology teams to ensure the correct implementation of the targeting strategies. Decision-making and Problem Solving: Strong problem-solving skills are required. The person needs to be resourceful with a can-do attitude to independently push tasks forward while working with key stakeholders. Ability to make decisions on the fly when equipped with the right background information and business insights. Risk and Control Objective: Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework, and internal Barclays Policies and Policy Standards. This role will be based out of Noida, India. Purpose of the role: To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organization. Accountabilities: - Identification, collection, extraction of data from various sources, including internal and external sources - Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis - Development and maintenance of efficient data pipelines for automated data acquisition and processing - Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships in the data - Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities - Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations: To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle, providing a comprehensive cloud service offering in the enterprise software industry. This includes Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is focused on building a future-ready AI-based Cloud Service. As part of the team working on next-generation, AI-powered solutions, your role will involve transforming surveillance and authentication systems. The aim is to revolutionize security by moving towards cutting-edge biometric and AI-driven technologies, departing from traditional password-based authentication. You will be instrumental in designing and implementing solutions that facilitate real-time, intelligent analysis of surveillance camera feeds. This includes enhancing security systems with advanced features like facial recognition and behavior analysis. This presents an exciting opportunity to contribute to a rapidly evolving field, where your innovations will shape the future of authentication and surveillance technologies, ultimately enhancing security on a global scale. Qualifications required for this role include a Master's degree or equivalent experience in fields such as Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Computer Vision, or related areas. Additionally, you should have 6+ years of experience (for Master's) in designing, implementing, and deploying machine learning models in production settings. Practical experience with distributed systems using microservices architecture and APIs with frameworks like Spring Boot (Java) is essential. Familiarity with cloud environments such as Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes) is preferred. Moreover, expertise in machine learning techniques, statistical models, and programming languages like Java, Python, and C++ is necessary. A solid understanding of data structures, algorithms, and problem-solving skills is also expected. As an IC2 level professional, your responsibilities will include designing, developing, and implementing AI and machine learning models for real-time surveillance analysis. You will work on optimizing biometric authentication systems using techniques like facial recognition, voice recognition, and fingerprint scanning. Managing and optimizing Oracle Kubernetes Engine (OKE) infrastructure to securely host and scale AI models will be part of your role, ensuring seamless deployment, high availability, and efficient resource utilization. Monitoring and improving the performance of AI models, optimizing algorithms for lower latency and better scalability, and staying up-to-date with advancements in AI, machine learning, biometric technologies, and surveillance systems are key aspects of your responsibilities. Additionally, you will research new technologies and tools to enhance solution capabilities, maintain documentation for future development and regulatory compliance, provide project updates to management and stakeholders, and offer technical support for deployed systems. About Us: Oracle is a world leader in cloud solutions, leveraging tomorrow's technology to address today's challenges. With over 40 years of experience, we continue to thrive by partnering with industry leaders across various sectors, operating with integrity and a commitment to innovation. At Oracle, we believe that true innovation flourishes when everyone is empowered to contribute. We are dedicated to fostering an inclusive workforce that provides opportunities for all individuals to grow and succeed. Our global opportunities promote work-life balance, offering competitive benefits, flexible medical, life insurance, and retirement options to support our employees. We also encourage our team members to engage in volunteer programs to give back to their communities. We are committed to ensuring accessibility and accommodation for individuals with disabilities throughout the employment process. If you require assistance or accommodation due to a disability, please contact us at accommodation-request_mb@oracle.com or call +1 888 404 2494 in the United States.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are invited to join our team as we embark on a journey to drive innovation and change through data-driven solutions. Responsibilities: - Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. - Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. - Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. - Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. - Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. - Champion the use of Python as the primary programming language, setting high standards for software development within the team. - Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. - Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. - Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. - Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. - Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

Wayfair's Advertising business is expanding rapidly, contributing significant profits to the company. The team is focused on building Sponsored Products, Display & Video Ad offerings to meet various Advertiser goals and deliver highly relevant Ads to millions of customers. The Ads Platform is evolving to empower advertisers of all sophistication levels to achieve a strong ROI through state-of-the-art Machine Learning techniques. The Advertising Optimization & Automation Science team plays a crucial role in this expansion. Leveraging machine learning and generative AI, the team streamlines campaign workflows and provides impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Intelligent systems for creative optimization and agentic frameworks are also being developed to simplify and enhance advertiser interactions. As a Machine Learning Scientist in the Advertising Optimization & Automation Science team, you will be responsible for developing budget, tROAS, and SKU recommendations, and other machine learning capabilities to support the ads business. Collaborating with other scientists, as well as Product and Engineering teams, you will apply your engineering and machine learning skills to tackle impactful and intellectually challenging problems that directly impact Wayfair's revenue. Responsibilities: - Design, build, deploy, and refine large-scale machine learning models and algorithmic decision-making systems to address real-world problems for customers. - Collaborate with commercial stakeholders to understand business challenges and opportunities, developing analytical solutions accordingly. - Work closely with engineering, infrastructure, and machine learning platform teams to ensure best practices in building and deploying scalable machine learning services. - Identify new opportunities and insights from data to improve models and project the ROI of proposed modifications. - Maintain a customer-centric approach in framing, approaching, and solving every problem. Requirements: - 3+ years of industry experience with a Bachelor/Masters degree or 1-2 years of industry experience with a PhD in Computer Science, Mathematics, Statistics, or related field. - Proficiency in Python or another high-level programming language. - Hands-on experience deploying machine learning solutions into production. - Strong theoretical understanding of statistical models like regression, clustering, and machine learning algorithms such as decision trees and neural networks. - Excellent written and verbal communication skills. - Intellectual curiosity and a passion for continuous learning. Nice to have: - Experience with Python machine learning ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML). - Familiarity with GCP (or AWS, Azure), machine learning model development frameworks, and machine learning orchestration tools like Airflow, Kubeflow, or MLFlow. - Experience in information retrieval, query/intent understanding, search ranking, recommender systems, etc. - Familiarity with deep learning frameworks like PyTorch, Tensorflow, etc.,