Come and join us in reshaping the future!!

As a Applied AI/ML Senior Associate, 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. You will be part of a team that is responsible for developing cutting-edge artificial intelligence and machine learning (AI/ML) based solutions that drive key credit decisions in the risk management process. This role will work on strategic, highly visible machine learning projects and interacts with business strategy, model governance, data management, and model implementation teams constantly to drive business results. 

 

Job Responsibilities

Apply analytical, data science, and machine learning skills to solve complex business problems.Work across teams to design, develop, and implement analytical models.Responsible for these models throughout the model’s life cycle, including data cleanup, data analysis, model selection, ongoing performance monitoring, issue resolution, and model retirement.
 

Required qualifications, capabilities and skills

Advanced degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, or Engineering).3+ years of relevant analytics experience.Hands-on experience in quantitative data management and analytics, including data extraction, cleaning, transformation, and visualization.Extensive practical expertise and work experience with Machine Learning, both supervised and unsupervised.Excellent programming skills using Python/SAS and/or R, Spark, Hive, SQL.Familiarity with standard data science tooling and good understanding of algorithms and software engineering fundamentals.Excellent problem solving, communications, and teamwork skills. 

 

Preferred qualifications, capabilities and skills

Experience with credit risk modeling and analytics such as scorecard or loss forecasting models.Extensive experience with design and deployment of AI/ML models with modern data science techniques such as XGBoost, Neural Networks.Experience in working with engineering teams to operationalize Machine Learning models.Hands-on experience developing and implementing Large Language Models (LLMs) for advanced natural language processing tasks and business applications.