Quantitative Research – Associate/Vice President - Mumbai/Bengaluru

Location: India

Job Family: Risk Analytics/Modeling

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. We are seeking a talented Quantitative Research Associate or Vice President to join our Risk Analytics and Modeling team in Mumbai or Bengaluru, India. In this role, you will play a pivotal part in advancing our quantitative capabilities to manage and mitigate risks across our diverse business lines, including investment banking, asset management, and consumer banking. Leveraging cutting-edge statistical and machine learning techniques, you will contribute to models that support regulatory compliance, capital optimization, and strategic decision-making in a dynamic financial landscape. As a Quantitative Researcher, your primary focus will be on developing robust models for credit, market, and operational risks, utilizing vast datasets from global markets. You will collaborate with multidisciplinary teams to integrate these models into JPMorgan's proprietary systems, ensuring they withstand rigorous back-testing and validation processes. This position offers the opportunity to tackle complex challenges, such as scenario analysis under Basel III and Dodd-Frank regulations, while innovating with technologies like AI-driven risk forecasting. Based in our state-of-the-art offices in Mumbai or Bengaluru, you will benefit from India's growing fintech ecosystem and proximity to APAC markets. We value intellectual curiosity and technical excellence, providing a supportive environment with access to world-class resources and mentorship from senior quants. This role is ideal for professionals passionate about the intersection of finance and technology, offering career growth within one of the world's most respected institutions. Join JPMorgan Chase to shape the future of risk management and drive impactful outcomes for our clients and stakeholders.

Key Responsibilities

• Develop and enhance quantitative models for credit, market, and operational risk assessment
• Conduct statistical analysis and machine learning applications to improve risk prediction accuracy
• Collaborate with cross-functional teams including traders, risk managers, and IT to deploy models into production
• Perform back-testing and validation of models to ensure compliance with internal and regulatory standards
• Analyze large datasets from financial markets to identify emerging risks and opportunities
• Contribute to research on advanced topics like stress testing, scenario analysis, and portfolio optimization
• Support the firm's global risk management framework by providing quantitative insights and recommendations
• Document model methodologies, assumptions, and results for audit and regulatory reporting
• Stay abreast of industry trends in quantitative finance and integrate innovative techniques into JPMorgan's workflows
• Mentor junior quants and participate in knowledge-sharing sessions within the team

Required Qualifications

• Master's or PhD in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field
• 3-7 years of experience in quantitative research, risk modeling, or financial analytics within the financial services industry
• Strong proficiency in statistical modeling, machine learning, and data analysis techniques
• Experience with programming languages such as Python, R, C++, or MATLAB for quantitative applications
• Deep understanding of financial markets, derivatives, risk management, and regulatory frameworks like Basel III
• Proven track record of developing and implementing quantitative models in a banking or investment context
• Ability to work collaboratively in a fast-paced, global team environment

Preferred Qualifications

• PhD in a quantitative discipline with publications in financial modeling or risk analytics
• Experience at a top-tier financial institution like JP Morgan Chase or similar
• Familiarity with big data technologies such as Hadoop, Spark, or cloud platforms like AWS
• Knowledge of JPMorgan's proprietary risk systems or similar enterprise tools
• CFA, FRM, or CQF certification

Required Skills

• Advanced statistical modeling and econometrics
• Machine learning algorithms (e.g., regression, neural networks, random forests)
• Programming in Python, R, C++, or SQL
• Data manipulation and visualization using tools like Pandas, NumPy, or Tableau
• Financial modeling for derivatives, fixed income, and equities
• Risk analytics including VaR, Expected Shortfall, and stress testing
• Big data handling with Hadoop, Spark, or similar frameworks
• Problem-solving and analytical thinking
• Strong communication skills for presenting complex ideas to non-technical stakeholders
• Attention to detail and accuracy in model development
• Team collaboration and project management
• Adaptability to regulatory changes in financial services
• Time management in high-pressure environments
• Research and innovation in quantitative methods
• Ethical judgment in handling sensitive financial data

Benefits

• Competitive base salary and performance-based bonuses aligned with JPMorgan's compensation philosophy
• Comprehensive health, dental, and vision insurance coverage for employees and dependents
• Retirement savings plan with generous company matching contributions
• Paid time off, including vacation, sick leave, and parental leave policies
• Professional development opportunities through JPMorgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and other financial wellness benefits
• Wellness programs including gym memberships, mental health support, and fitness challenges
• Global mobility options and relocation assistance for roles in Mumbai or Bengaluru

JP Morgan Chase is an equal opportunity employer.