Modelling Analytics - Assocaite

Location: Bengaluru, Karnataka, India

Job Family: Risk Analytics/Modeling

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a proud history of innovation and client-focused solutions. As a Modelling Analytics Associate in our Risk Analytics/Modeling team based in Bengaluru, Karnataka, India, you will play a pivotal role in enhancing our credit risk capabilities. This position involves developing sophisticated models to forecast credit outcomes, presenting critical insights to top executives such as the CRO and CFO, and fostering alignment across diverse teams to drive seamless and robust risk management strategies. You will contribute to JP Morgan's commitment to regulatory compliance and operational excellence in a collaborative, high-impact environment. Your primary focus will be on leveraging advanced analytics to support credit portfolio decisions, analyzing vast datasets to uncover actionable insights, and ensuring models align with evolving economic conditions and regulatory standards like Basel III and IFRS 9. Collaborating with global teams, you will refine forecasting techniques, validate model accuracy, and integrate emerging technologies such as machine learning to strengthen JP Morgan's risk framework. This role offers the opportunity to influence strategic initiatives that safeguard our clients and the firm against financial uncertainties. We seek a detail-oriented professional with a strong quantitative background and a passion for financial risk. In this Associate-level position, you will thrive in a dynamic setting where your analytical expertise directly impacts JP Morgan's global operations. Join us to advance your career in one of the world's most respected financial institutions, contributing to innovative solutions that shape the future of banking.

Key Responsibilities

• Develop and maintain advanced credit risk models to support forecasting and decision-making processes
• Present key insights and analytical findings to senior stakeholders, including the CRO and CFO, to inform strategic initiatives
• Align cross-functional teams across risk, finance, and business units to ensure consistent and robust credit forecasting outcomes
• Analyze large datasets to identify trends, risks, and opportunities in credit portfolios
• Collaborate with model validation teams to ensure compliance with internal and regulatory standards
• Enhance modeling methodologies by incorporating emerging data sources and analytical techniques
• Support the implementation of credit risk strategies in JP Morgan's global operations
• Monitor model performance and recommend adjustments based on economic and market changes
• Contribute to the development of reporting dashboards for real-time risk insights

Required Qualifications

• Bachelor's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field; Master's degree preferred
• 3-5 years of experience in credit risk modeling, financial analytics, or quantitative analysis within the financial services industry
• Proficiency in statistical modeling techniques and credit forecasting methodologies
• Strong understanding of regulatory requirements such as Basel III, IFRS 9, and CECL for credit risk management
• Experience with data analysis tools and programming languages used in financial modeling
• Ability to communicate complex analytical findings to senior executives including CRO and CFO
• Demonstrated experience in cross-functional team alignment in a fast-paced banking environment

Preferred Qualifications

• Advanced degree (MBA or PhD) in a quantitative discipline
• Prior experience at a major financial institution like JP Morgan Chase or similar
• Certification in financial risk management (e.g., FRM or CFA)
• Hands-on experience with machine learning applications in credit risk
• Familiarity with JP Morgan's internal risk management frameworks and tools

Required Skills

• Proficiency in Python, R, or SAS for statistical modeling and data analysis
• Expertise in SQL for querying large financial datasets
• Strong knowledge of credit risk metrics such as PD, LGD, and EAD
• Experience with econometric modeling and time-series analysis
• Familiarity with machine learning algorithms for predictive analytics
• Excellent presentation and storytelling skills for executive communications
• Analytical problem-solving with attention to detail
• Project management abilities to coordinate multi-team initiatives
• Understanding of financial instruments and banking products
• Regulatory knowledge in risk management frameworks
• Data visualization skills using tools like Tableau or Power BI
• Adaptability in a dynamic, high-stakes financial environment
• Collaborative mindset for team alignment and stakeholder engagement
• Quantitative aptitude for complex model development
• Communication skills to translate technical concepts to non-technical audiences

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 education
• Employee stock purchase plan and other financial wellness benefits
• On-site fitness centers and wellness programs at JP Morgan campuses
• Global mobility opportunities and career advancement support within the firm

JP Morgan Chase is an equal opportunity employer.