Risk Management - Risk Modeling Analytics - Senior Associate

Location: Columbus, OH, United States

Job Family: Risk Analytics/Modeling

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a commitment to innovation and excellence in risk management. As a Senior Associate in Risk Management - Risk Modeling Analytics, you will play a pivotal role in driving impactful credit forecasting for our $220B commercial banking portfolio. Based in our Columbus, OH office, this position offers the opportunity to unleash your data prowess in a dynamic, fast-paced environment where your analytical expertise directly influences strategic decisions and mitigates risks for one of the world's largest banks. You will join a collaborative team of quants and risk professionals dedicated to advancing our modeling capabilities in line with regulatory standards and business objectives. In this role, you will develop sophisticated credit risk models using advanced statistical and machine learning techniques to forecast potential losses under various economic scenarios. Your work will involve analyzing vast datasets from our commercial lending activities, performing stress tests aligned with CCAR and Basel requirements, and collaborating with cross-functional partners to validate and implement models that enhance portfolio resilience. You will monitor model performance, calibrate forecasts based on real-time market data, and provide actionable insights to senior leadership, ensuring JP Morgan Chase remains at the forefront of prudent risk management in the financial services industry. We seek a talented professional who thrives in a high-stakes setting and is passionate about leveraging data to solve complex challenges. This position not only offers exposure to cutting-edge analytics tools and methodologies but also the chance to contribute to the stability and growth of a premier institution. Join JP Morgan Chase and be part of a team that shapes the future of global finance through rigorous, innovative risk modeling.

Key Responsibilities

• Develop and enhance credit forecasting models for a $220B commercial banking portfolio, incorporating macroeconomic variables and stress testing scenarios
• Perform advanced statistical analysis and machine learning techniques to predict credit losses and optimize risk-adjusted returns
• Collaborate with cross-functional teams including credit officers, model validation groups, and senior management to ensure model accuracy and regulatory compliance
• Conduct ongoing model performance monitoring, back-testing, and calibration to adapt to evolving market conditions and portfolio dynamics
• Support CCAR and DFAST submissions by providing robust analytical insights and documentation for regulatory audits
• Leverage big data tools to extract and analyze portfolio-level insights, identifying emerging risks in commercial lending
• Contribute to the innovation of risk modeling methodologies, integrating AI-driven approaches for enhanced forecasting precision
• Prepare detailed reports and presentations on model outputs, risk metrics, and forecasting results for executive leadership
• Ensure adherence to JP Morgan's model risk management framework and internal governance standards

Required Qualifications

• Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related quantitative field
• Minimum of 3-5 years of experience in risk modeling, credit analytics, or financial forecasting within the banking or financial services industry
• Proficiency in statistical modeling and data analysis techniques for credit risk assessment
• Strong understanding of regulatory requirements such as Basel III, CCAR, and IFRS 9 for credit risk modeling
• Experience working with large-scale financial datasets and portfolio management in a banking environment
• Ability to communicate complex analytical findings to non-technical stakeholders

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative discipline such as Statistics, Econometrics, or Financial Engineering
• Prior experience at a major financial institution with exposure to credit risk for portfolios exceeding $100B
• Certification in risk management (e.g., FRM or PRM) or data science (e.g., SAS or Python certifications)
• Hands-on experience with JP Morgan's internal risk systems or similar enterprise risk management platforms

Required Skills

• Statistical modeling (e.g., logistic regression, time-series analysis)
• Machine learning algorithms for predictive analytics
• Proficiency in programming languages such as Python, R, or SAS
• SQL and database querying for large financial datasets
• Credit risk assessment and portfolio analytics
• Data visualization tools like Tableau or Power BI
• Knowledge of econometric modeling and scenario analysis
• Regulatory compliance in banking (Basel, CCAR)
• Strong analytical and problem-solving abilities
• Excellent communication and presentation skills
• Project management in fast-paced environments
• Attention to detail and accuracy in quantitative work
• Team collaboration and stakeholder management
• Adaptability to dynamic market conditions
• Ethical judgment in risk decision-making

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching contributions
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and access to financial wellness resources
• On-site fitness centers, wellness programs, and mental health support services
• Relocation assistance for eligible roles and flexible hybrid work arrangements

JP Morgan Chase is an equal opportunity employer.