J.P. Morgan's Chief Data & Analytics Office (CDAO) is focused on advancing the firm's data and analytics capabilities, ensuring data quality, integrity, and security, and leveraging data through AI/ML for new products, productivity improvements, and risk management.
Requirements
- Hands-on experience and solid understanding of machine learning and deep learning methods
- Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Experience with big data and scalable model training
- Ability to develop and debug production-quality code and solid experience in writing unit tests, integration tests, and regression tests
- Published research in areas of Machine Learning/Deep Learning/Reinforcement Learning OR Finance/Accounting at a major conference or journal
Responsibilities
- Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
- Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as time-series analysis and modelling, constrained optimization and prediction for large systems, prescriptive analytics, and decision-making in dynamical systems
- Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
- Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
Other
- PhD in a quantitative discipline, e.g. Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research
- Ability to conduct literature research in unfamiliar fields
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
- Curious, hardworking and detail-oriented, and motivated by complex analytical problems
