Quant Researcher & Developer

Location: Boston, MA, United States

Job Family: Portfolio Management

About the Role

At JP Morgan Chase, our 55IP division is at the forefront of revolutionizing portfolio management through cutting-edge quantitative research and technology. As a Quant Researcher & Developer in Boston, MA, you will join a dynamic team dedicated to delivering innovative solutions for institutional investors. This role combines rigorous academic research with practical application in the financial services industry, where you'll leverage advanced algorithms and data-driven insights to optimize portfolios, manage risks, and uncover new investment opportunities. Reporting to the Head of Quantitative Strategies, you will contribute to 55IP's mission of providing scalable, tech-enabled asset management services that align with JP Morgan Chase's global standards of excellence and client-centric innovation. Your primary focus will be on developing sophisticated quantitative models that integrate machine learning, statistical analysis, and financial theory to enhance portfolio construction and performance attribution. You will collaborate closely with portfolio managers, traders, and engineers to translate complex research into actionable strategies, ensuring seamless integration with JP Morgan Chase's robust trading infrastructure. Responsibilities include analyzing vast datasets from global markets, backtesting models for reliability, and iterating on algorithms to adapt to volatile economic conditions. This position offers the chance to work on high-impact projects that influence billions in assets under management, all while benefiting from the resources of one of the world's leading financial institutions. We seek passionate individuals who thrive in a collaborative, intellectually stimulating environment and are committed to ethical practices in quantitative finance. At JP Morgan Chase, you'll have access to unparalleled professional growth opportunities, including mentorship from industry experts and exposure to diverse asset classes. Join us to shape the future of intelligent portfolio management and drive meaningful outcomes for our clients in an ever-evolving financial landscape.

Key Responsibilities

• Develop and implement advanced quantitative models for portfolio optimization and risk assessment at 55IP, a JP Morgan Chase company
• Conduct in-depth research on market trends, asset allocation strategies, and predictive analytics to enhance investment decisions
• Collaborate with portfolio managers and data scientists to integrate quantitative insights into real-world trading and investment processes
• Build and maintain scalable software tools and algorithms for automated portfolio management
• Analyze large datasets from financial markets to identify alpha-generating opportunities and mitigate risks
• Test and validate quantitative models using historical and simulated data to ensure robustness and compliance with regulatory standards
• Contribute to the innovation of 55IP's technology-driven solutions for institutional investors
• Stay abreast of emerging technologies and financial regulations to refine research methodologies
• Present research findings and model outputs to senior stakeholders and cross-functional teams

Required Qualifications

• PhD or Master's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field
• Minimum of 3 years of experience in quantitative research or development within the financial services industry
• Strong proficiency in programming languages such as Python, C++, or R for financial modeling and data analysis
• Demonstrated experience with portfolio optimization, risk modeling, and quantitative strategies in asset management
• Knowledge of financial markets, derivatives, and investment instruments
• Ability to work collaboratively in a fast-paced, innovative environment

Preferred Qualifications

• Experience with machine learning techniques applied to portfolio management
• Prior work at a leading financial institution like JP Morgan Chase or similar
• Publications or contributions to academic or industry research in quantitative finance
• Familiarity with ESG factors and sustainable investing in portfolio construction

Required Skills

• Quantitative modeling and statistical analysis
• Programming in Python, C++, or MATLAB
• Financial market knowledge and econometrics
• Machine learning and AI applications in finance
• Portfolio optimization techniques (e.g., mean-variance analysis)
• Risk management and stress testing
• Data visualization and reporting tools (e.g., Tableau, Power BI)
• Problem-solving and analytical thinking
• Team collaboration and communication skills
• Attention to detail and accuracy in model validation
• Adaptability to evolving financial technologies
• Understanding of regulatory frameworks like SEC and Dodd-Frank
• Big data handling with tools like SQL or Hadoop
• Research methodology and hypothesis testing

Benefits

• Competitive base salary and performance-based bonuses aligned with JP Morgan Chase standards
• Comprehensive health, dental, and vision insurance coverage for employees and families
• 401(k) retirement savings plan with generous company matching contributions
• Paid time off, including vacation, sick leave, and parental leave policies
• Professional development opportunities, such as tuition reimbursement and access to internal training programs
• Wellness programs including gym memberships and mental health support
• Employee stock purchase plan and other financial wellness benefits
• Relocation assistance for qualifying candidates moving to Boston, MA

JP Morgan Chase is an equal opportunity employer.