1576 Predictive Modeling Jobs - Page 29

We are seeking skilled LLM Engineers with 5 to 8 years of experience to design, fine-tune, and implement large language model (LLM)-based solutions for an AI integration project. This role involves developing AI-driven functionalities tailored for Salesforce CRM and service ticketing platforms using Azure OpenAI and OpenAI technologies. **Key Responsibilities:** - Develop and deploy LLM-based solutions for AI integration into Salesforce and service ticketing systems. - Fine-tune pre-trained language models (e.g., GPT) to align with business requirements and enhance application performance. - Collaborate with architects and stakeholders to implement generative AI-driven solutions for workflow automation and customer support. Ensure optimized performance and accuracy of LLMs for use cases such as ticket categorization, routing, and customer interaction. Design and implement scalable, secure, and compliant LLM-based architectures. Stay updated on advancements in AI/ML and LLM technologies and apply innovative techniques to solve business challenges. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related fields. 5 to 8 years of experience in software development or machine learning, with strong exposure to LLMs and generative AI models. Hands-on experience with Azure OpenAI, OpenAI APIs (e.g., GPT models), and their integration into enterprise systems. Proficiency in programming languages such as Python, with a focus on NLP libraries and ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Strong understanding of data preprocessing, model training, and optimization techniques for large-scale applications. Preferred Skills: Experience integrating LLM-based solutions with Salesforce and service ticketing platforms. Knowledge of cloud deployment and automation practices using tools like Docker, Kubernetes, or Azure DevOps. Familiarity with API development and integration for real-time AI functionalities. Understanding of data governance, security, and compliance standards in AI implementations

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. We are seeking a visionary AI Research and Innovation Principal to spearhead our efforts in Agentic AIdeveloping autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities:- Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.- Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).- Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.- Publish and present novel and innovative research findings in top AI venues.- Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.- Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI.- Overall experience 8-10 years and Relevant experience (post PhD) 5+ years.- Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.- Strong understanding of LLMs and their integration into agentic workflows.- Experience with frameworks like LangChain, AutoGPT, or similar.- Proven track record of innovation and publications. Additional Information:- The candidate should have minimum 15 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact Responsibilities Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop & Server SQL, Oracle & Hive, Communication Skills, Project Management Multitasking, Collaborative Skills Proven experience in developing and working Tableau driven dashboards, analytics. Ability to query and display large data sets while maximizing the performance of workbook. Ability to interpret technical or dashboard structure and translate complex business requirements to technical Preferred technical and professional experience Tableau Desktop & Server SQL ,Oracle & Hive

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure IaaS Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are optimized for performance and usability while maintaining effective communication with stakeholders to align on project goals and timelines. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure adherence to timelines and quality standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure IaaS.- Good To Have Skills: Experience with Microsoft Azure Windows Virtual Desktop.- Strong understanding of cloud architecture and deployment models.- Experience in managing and configuring virtual machines and networks in Azure.- Familiarity with automation tools and scripting for Azure management. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure IaaS.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Analytics Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the development process and ensure successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Coordinate with stakeholders to gather requirements- Ensure timely delivery of projects Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Data Analytics- This position is based at our Gurugram office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the application development process and ensuring successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process effectively- Ensure timely project delivery- Provide guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform- Strong understanding of data analytics and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on experience in implementing various machine learning algorithms- Solid grasp of data munging techniques Additional Information:- The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential as you contribute to the advancement of AI technologies within the organization. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.- Analyze and evaluate existing systems to identify areas for improvement and optimization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for data analysis and model development.- Knowledge of data preprocessing techniques and tools to ensure data quality. Additional Information:- The candidate should have minimum 18 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FI CO Finance Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FI CO Finance- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP FI CO Finance- This position is based in Gurugram- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Analytics Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : Application lead Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the application development process and ensure successful project delivery. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the application development team in designing and implementing software solutions.- Collaborate with stakeholders to gather requirements and define project scope.- Provide technical guidance and mentorship to team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 15 years of experience in Data Analytics.- This position is based at our Mumbai office.- A degree in Application lead is required. Qualification Application lead

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Splunk Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in Splunk- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Splunk- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Define technical architecture to productize Innovaccers machine-learning algorithms and take them to market with partnerships with different organizations Proven ability to break down complex business problems into machine learning problems and design solution workflows. Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. Stay updated on advancements in AI/ML technologies and apply them to enhance existing systems.

The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

The leader must demonstrate an ability to anticipate, understand, and act on evolving customer needs, both stated and unstated. Through this, he/she must create a customer-centric organization and use innovative thinking frameworks to foster value-added relations. With the right balance of bold initiatives, continuous improvement, and governance, the leader must adhere to the delivery standards set by the client and eClerx by leveraging the knowledge of market drivers and competition to effectively anticipate trends and opportunities. Besides, the leader must demonstrate a capacity to transform, align, energize organization resources, and take appropriate risks to lead the organization in a new direction. As a leader, the candidate must build engaged and high-impact direct, virtual, and cross-functional teams, and take the lead towards raising the performance bar, build capability and bring out the best in their teams. By collaborating and forging partnerships both within and outside the functional area, the leader must work towards a shared vision and achieve positive business outcomes. Associate Program Manager Roles and responsibilities: Lead and provide strategic direction to teams, ensuring alignment with clients business objectives Actively collaborate with the Marketing, Marketing Operations, Marketing Technology, Risk & Controls, and Automation teams to consult and facilitate the seamless execution of marketing campaigns and initiatives Collaborate with client stakeholders to shape and execute the target operating model for data operations, data engineering, and insights teams Drive revenue growth by understanding client needs, proposing innovative commercial constructs, and capitalising on upsell & cross-sell opportunities Accountable for ensuring we are recruiting a highly skilled workforce of data engineers, data analysts and data scientists to support RTB and CTB initiatives of the Client Work closely with sales and consulting teams to expand current business and explore new transformation-led opportunities Stay updated with industry trends, and champion the adoption of cutting-edge tools, methodologies, and technologies Take ownership of team deliverables, ensuring quality checks, best practices and desired outcomes are achieved on the first attempt. Understand project requirements and equip team members with the necessary skills and training. Technical and Functional Skills: Masters / Bachelors degree in Management / Engineering / Mathematics / Statistics or any related quantitative discipline The ideal candidate must have a minimum of 8+ years of experience in Data Management, Analytics, or Decision Science, including P&L Management responsibilities Experience working in services/consulting space, building and leading large analytics business and demonstrated success in delivering to clients across industries and domains preferably Banking and Financial Services Proven track record of building and leading high growth teams; demonstrated experience in hiring, retaining, and scaling geographically dispersed, high-performing teams Experience in collaborating, communicating, and influencing different stakeholders to drive inclusion, efficiency, and creative solutions

The Data Manager will Have a strong command over data wrangling and data story telling. Address and solve data quality issues either automated update or manually update information into KYCs sources systems or uplift the data into designated platforms. Source data from a variety of sources like core banking systems to combine, synthesise and analyse to improve data quality. Collaborate with stakeholders, SMEs to ensure that the in-scope issues are accurately rectified and meets business requirements. Good Knowledge and experience with tools for data analysis & data remediation (e.g. excel, KYC platforms, reporting tools Power BI, KNIME) Continuous Improvement & Change Understands, accepts and supports the need for change and adapts own behaviours to changing circumstances and provides input to change projects Problem Solving - Comprehensive understanding of a range of problem solving techniques Understanding depth & breadth of data - Some capabilities to source, join and derive insights from disparate data sources across several domain

Immediate Openings for Business analyst Data analyst ( Fin Crime ) - PUNE - Contract to hire Experience: 6+ Years Skill: Business Analyst, Financial Crime. Location: PAN INDIA Notice Period: Immediate Employment Mode: Contract to hire Working Mode: Hybrid Job Description: Financial Crime knowledge is highly desirable but less critical to the role. Knowledge of managing customer data across a complex environment with multiple customer masters is critical Understanding the challenges of a distributed data environment, how to navigate it and how to effectively consolidate it Some experience in implementation planning (via solution design iterations) in relation to new complex data models Ability to communicate well with senior stakeholders, including influencing and adoption of ideas. Hands on DA - good at data systems, dq, data transformation, dig in and investigate Understand lineage, data quality, data criticality and governance Data model implementation strategy

Responsibilities Should act as a business analyst with technical expertise who is the main contact from business users including Financial Risk I.e. Credit, Market etc. Elicit the functional and non-functional requirements from the business stake holder the and manage those requirements through development, test, UAT and post-implementation support, including maintaining traceability to high level requirements and business processes. Good understanding of Risk application and should also have understanding of business flow within other upstream or downstream application. Should have working knowledge on any risk applications like SaS Should be able to understand and remediate any gaps in application and if required should be able to independently lead the discussions with business teams. Engage with business users to understand their requirements or should be able to translate the functional requirements into Technical Design Document. Supporting the preparation of training material and supporting users through user acceptance testing. Implement and follow best industry practices ensuring that designs/solutions are both efficient and sustainable Must have Experience Minimum 10-15 years of experience in banking and/or financial services IT Knowledge and experience in the area of risk modelling Participated in the implementation of sophisticated financial/risk models in live operating environments Experienced in designing and delivering complex solution for Banks and financial institutions Excellent stakeholder management skills Experience with lending, credit, and/or special asset risk management Experience with business analysis methodologies and applicable IT architectures; Should have strong communication and presentation skills. Flexible and constructively critical attitude, strong analytic mind-set, result oriented Experience in agile environment Knowledge of developing and designing analytical solutions and models in Base SAS, Advance SAS, SAS/SQL will be a plus.

Banking Data Analyst ( Marketing Analyst) - primary Skill SQL, Marketing Analytics with Banking knowledge Description Very strong in SQL Experience in Marketing Analytics Experience in Jupiter Notebook Good to have experience in Python Experience in Banking must, Deposits and Home Lending will be good to have

Location:Pune,Mumbai,Bangalore Employment Type:C2H Notice Period:Immediate JD: Position TitleData Scientist Job Summary We are seeking a Data Scientist to develop and implement data-driven, AI-powered solutions across the organization. In this role, you will apply analytical, statistical, and programming expertise to clean, aggregate, and interpret large datasetstranslating complex information into actionable insights. You will leverage machine learning algorithms, generative AI (Gen AI), and Retrieval Augmented Generation (RAG) methodologies to drive innovation, inform strategic decisions, and eHectively communicate findings to both technical and non-technical stakeholders.

Immediate Openings on Data scientist _ Bangalore_ Contract Experience 7+ Years Skill Data scientist Notice Period Immediate Employment Type Contract Work Mode WFO/Hybrid Classic time series analysis tools Machine learning models Python R coding SQL coding

Designs and develops AI-powered chatbots using Kore.AI platform.

Develops AI-driven solutions using NLP and generative AI techniques, enhancing automation and language processing.

Analyze large datasets and develop machine learning models to derive actionable insights for businesses. Focus on using statistical techniques, data visualization, and predictive analytics to optimize decision-making.

Responsibilities Data mining and analysis using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analyses Building and optimizing data models using machine learning techniques Skills and Qualifications Must have: At least 2 years of experience working on data science projects delivered to external clients. Proficiency with programming languages: Python, PySpark, and SQL. Proficiency with common data science tools: Scikit-learn and at least one among TensorFlow, Keras, PyTorch, or equivalent Experience with forecasting techniques using Time series methods and causal forecasting methods Experience with applying supervised and unsupervised learning techniques on unstructured and semi-structured data Experience with predictive modeling, deploying, and monitoring ML solutions in an iterative or Agile/DevOps environment using lifecycle management methods and tools Degree in Statistics/Quantitative Analyses, Computer Science, Mathematics, Operations Research, or other related technical fields with equivalent practical experience Excellent English verbal and written communication skills Nice to have: Experience with Natural Language Processing (NLP) techniques. Familiarity with Microsoft Azure services and tools Experience with the agile methodology for data science projects.

Role Description. This is a contract hybrid role for a Quantitative Developer. The Quantitative Developer will be responsible for tasks related to Trading, Quantitative Analytics, Quantitative Finance, Mathematics, and Statistics.. Responsibilities. Develop, implement, and maintain quantitative models and algorithms for trading, risk management, and financial analysis.. Design and build high-performance systems for trading and financial applications.. Collaborate with quantitative analysts, traders, and other stakeholders to understand business requirements and translate them into technical solutions.. Write efficient, robust, and well-documented code in C++ and/or C#.. Optimize existing code and systems for performance and scalability.. Conduct thorough testing and validation of models and systems.. Contribute to the development of software development best practices.. Support the integration of new algorithms into existing trading infrastructure.. Conduct code reviews, assist in troubleshooting, and debug issues in production systems.. Participate in the documentation of processes and systems.. Qualifications. Experience in Trading, Quantitative Analytics, and Quantitative Finance.. Proficiency in programming languages such as C++ and C# (Must-have).. Experience in financial markets and derivatives.. Required Skills And Qualifications. Minimum 3 years of professional programming experience in C# or C++.. Strong expertise in implementing complex algorithms and high-performance systems.. Solid understanding of efficient coding practices and optimization techniques.. 3+ years of experience developing and supporting critical applications within financial institutions or extensive experience in similarly complex industries.. Good understanding of financial domain concepts, systems, and tools.. Experience with version control systems (e.g., Git).. Strong analytical and problem-solving skills.. Excellent communication and collaboration skills.. Key Skills. C#, C++. Algorithms, High-Performance Computing. Financial Applications. System Optimization, Fintech, Hybrid Development Teams, Domain Collaboration.. Preferred Qualifications. Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Statistics, Financial Engineering, or a related quantitative field.. Experience with scripting languages such as Python.. Knowledge of database systems (SQL, NoSQL).. Familiarity with cloud computing platforms (e.g., AWS, Azure).. Experience with Agile development methodologies..

Job Summary We are seeking skilled and motivated Data Scientists with 4+ years of experience in data science with good domain understanding. The ideal candidate will have a strong foundation in data science concepts, proficiency in analytical tools, and the ability to translate data insights into actionable business recommendations. This role requires a blend of technical expertise and business acumen, preferable in financial (credit, risk) fields, to drive data-driven decision making. This will be an individual contributor role or lead for a small team (if relevant experience is present). Qualifications. Education :. Bachelor of Engineering or master's in quantitative areas.. It is mandatory that the ideal candidate should be from tier 1 institutes.. Experience. 4+ years of experience in data science and business analytics projects.. The ideal candidate should exposure in Credit risk analytics.. Proven experience in data handling, analytics with good exposure to statistical analysis and machine learning.. Technical Skills. Expertise in programming languages such as Python and SQL.. Expertise in machine learning algorithms.. Soft Skills. Strong analytical and problem-solving skills.. Excellent communication and interpersonal skills.. Ability to lead a team.. (ref:hirist.tech). Show more Show less