Investment Risk & Analytics - Quant Modeling Sr. Associate

Location: Mumbai, Maharashtra, India

Job Family: Predictive Science

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. We operate in over 100 markets, providing innovative solutions in investment banking, consumer and commercial banking, treasury services, and asset management. Within our Corporate & Investment Bank and Asset & Wealth Management divisions, the Investment Risk & Analytics team plays a critical role in safeguarding our portfolios against market volatilities and operational risks. We are seeking a Quant Modeling Sr. Associate to join our team in Mumbai, India, focusing on predictive science to drive data-informed risk strategies in a dynamic financial landscape. As a Quant Modeling Sr. Associate in Investment Risk & Analytics, you will contribute to the development and enhancement of sophisticated quantitative models that underpin our investment decisions. This role involves leveraging advanced statistical techniques, machine learning algorithms, and big data analytics to model risks across equities, fixed income, derivatives, and alternative investments. You will work closely with quants, traders, and risk managers to ensure models are robust, compliant with regulatory standards, and aligned with JPMorgan's commitment to client-centric innovation. Your contributions will directly impact how we mitigate potential losses and optimize returns for institutional and high-net-worth clients globally. The position demands a blend of technical expertise and business acumen, where you will conduct scenario analyses, perform model validations, and provide insights that influence strategic portfolio adjustments. In Mumbai's state-of-the-art technology hub, you will collaborate in a multicultural environment, benefiting from JPMorgan's world-class resources and mentorship opportunities. This role offers substantial growth potential, allowing you to advance your career in quantitative finance while contributing to the firm's legacy of excellence in risk management and predictive analytics.

Key Responsibilities

• Develop and validate quantitative models for investment risk assessment, including stress testing and scenario analysis
• Analyze portfolio risks using advanced statistical and machine learning techniques to support investment decisions
• Collaborate with cross-functional teams in Asset & Wealth Management to integrate risk models into business strategies
• Perform data mining and predictive analytics on large financial datasets to identify emerging risks
• Conduct model risk management activities, including back-testing, sensitivity analysis, and documentation
• Support regulatory reporting and compliance with global standards such as Dodd-Frank and SR 11-7
• Enhance existing risk analytics frameworks using cutting-edge quantitative methods
• Communicate complex risk findings to senior stakeholders and provide actionable insights
• Stay abreast of industry trends in quantitative finance and incorporate innovations into JPMorgan's risk practices

Required Qualifications

• Master's or PhD in Quantitative Finance, Mathematics, Statistics, Physics, or a related field
• At least 3-5 years of experience in quantitative modeling, risk analytics, or financial engineering within the banking or investment sector
• Strong proficiency in statistical modeling and predictive analytics techniques
• Experience with programming languages such as Python, R, or MATLAB for data analysis and model development
• Knowledge of financial markets, derivatives, and risk management frameworks like Basel III
• Ability to work with large datasets and perform advanced statistical analysis
• CFA, FRM, or similar professional certification in finance or risk management

Preferred Qualifications

• Experience in developing quantitative models for investment risk at a major financial institution
• Familiarity with JPMorgan Chase's proprietary risk systems and tools
• Advanced knowledge of machine learning applications in financial risk modeling
• Prior work in a global team environment within the asset management or investment banking division
• Publication record in quantitative finance journals or contributions to open-source financial modeling projects

Required Skills

• Quantitative modeling and statistical analysis
• Programming in Python, R, and SQL
• Financial risk assessment and derivatives pricing
• Machine learning and predictive analytics
• Data visualization tools like Tableau or Power BI
• Strong mathematical and probabilistic reasoning
• Regulatory knowledge in finance (e.g., Basel, CCAR)
• Excellent communication and presentation skills
• Problem-solving and analytical thinking
• Team collaboration in a fast-paced environment
• Proficiency in Excel and financial modeling software
• Time management and project prioritization
• Attention to detail in model validation
• Adaptability to evolving financial technologies
• Ethical judgment in risk decision-making

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Retirement savings plan with generous company matching contributions
• Paid time off, including vacation, sick leave, and parental leave
• Professional development programs and tuition reimbursement for advanced certifications
• Employee stock purchase plan and access to financial wellness resources
• On-site fitness centers and wellness programs at JPMorgan offices
• Global mobility opportunities and career advancement within the firm

JP Morgan Chase is an equal opportunity employer.