Machine Learning Scientist - Time Series Reinforcement Learning - Senior Associate - Machine Learning Center of Excellence

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of leveraging cutting-edge machine learning to drive innovation in the financial services industry. As a Machine Learning Scientist - Time Series Reinforcement Learning - Senior Associate in our Machine Learning Center of Excellence, you will lead the application of advanced RL techniques to tackle complex challenges in predictive science, such as optimizing trading algorithms, forecasting market volatility, and enhancing risk assessment models. Based in our state-of-the-art New York office, you will collaborate with world-class teams of quants, engineers, and traders to transform vast financial time series data into actionable insights that power JPMorgan's global operations and deliver value to clients worldwide. Your role will involve spearheading research and development of RL models tailored to dynamic financial environments, where decisions must account for sequential dependencies and real-time uncertainties. You will design experiments, prototype solutions, and deploy scalable ML systems that integrate seamlessly with our proprietary trading platforms and risk management frameworks. By mentoring junior scientists and contributing to the Center's strategic initiatives, you will play a pivotal role in advancing JPMorgan Chase's leadership in AI-driven finance, ensuring our models are not only innovative but also robust, interpretable, and compliant with stringent regulatory standards. This position offers the opportunity to work on high-impact projects that influence billions in assets under management, while benefiting from JPMorgan's collaborative culture and unparalleled resources. If you are passionate about applying reinforcement learning to solve real-world financial problems and thrive in a fast-paced, innovative environment, join us to shape the future of predictive analytics at one of the world's leading financial institutions.

Key Responsibilities

• Lead the development and implementation of reinforcement learning models for time series forecasting in financial markets
• Collaborate with quantitative analysts and traders to apply ML techniques to optimize trading strategies and portfolio management
• Design and conduct experiments to evaluate RL algorithms on historical and real-time financial datasets
• Mentor junior data scientists and contribute to the Machine Learning Center of Excellence's research agenda
• Integrate advanced ML models into JPMorgan Chase's production systems for scalable deployment
• Analyze complex financial time series data to identify patterns and improve predictive accuracy
• Stay abreast of emerging ML trends and adapt them to solve business challenges in asset management and risk
• Document methodologies and present findings to senior stakeholders and executive leadership
• Ensure model robustness, interpretability, and compliance with financial regulations
• Contribute to open-source projects or internal tools that advance JPMorgan's ML capabilities

Required Qualifications

• PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field
• 3+ years of experience in machine learning research or applied ML in a professional setting
• Strong background in reinforcement learning, particularly with time series data
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or similar
• Experience with financial time series data, such as market prices, trading volumes, or risk metrics
• Demonstrated ability to lead projects involving advanced ML models in a team environment
• Excellent communication skills to collaborate with cross-functional teams in finance

Preferred Qualifications

• Publications or contributions to top-tier ML conferences (e.g., NeurIPS, ICML) on RL or time series
• Prior experience in the financial services industry, especially in algorithmic trading or risk management
• Familiarity with JPMorgan Chase's tech stack or similar enterprise environments
• Experience deploying ML models in production for real-time financial applications
• Knowledge of regulatory compliance in financial ML applications (e.g., SEC, FINRA guidelines)

Required Skills

• Reinforcement Learning (RL) algorithms and frameworks
• Time series analysis and forecasting techniques
• Python programming and data manipulation libraries (e.g., Pandas, NumPy)
• Deep learning models (e.g., LSTMs, Transformers for sequences)
• Financial modeling and quantitative finance concepts
• Machine learning pipelines and MLOps practices
• Statistical inference and hypothesis testing
• Big data technologies (e.g., Spark, Hadoop for large datasets)
• Version control and collaboration tools (e.g., Git, Jira)
• Problem-solving and analytical thinking
• Team leadership and project management
• Clear written and verbal communication
• Adaptability to fast-paced financial environments
• Ethical AI practices and bias mitigation
• Cloud computing platforms (e.g., AWS, Azure for ML deployment)

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• 401(k) retirement savings plan with generous company matching
• Paid time off, including vacation, sick days, and parental leave
• Professional development opportunities, including tuition reimbursement and access to JPMorgan's learning platforms
• Employee stock purchase plan and financial wellness programs
• On-site fitness centers, wellness stipends, and mental health support
• Relocation assistance for eligible roles in New York

JP Morgan Chase is an equal opportunity employer.