Risk Management - Auto Risk Acquisitions Strategic 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 strong commitment to innovation and risk management. As a Senior Associate in Risk Management - Auto Risk Acquisitions Strategic Analytics, you will play a pivotal role in our Consumer & Community Banking division, focusing on auto lending products. Based in our Columbus, OH office, you will leverage advanced data analytics to evaluate acquisition risks, optimize strategic initiatives, and drive informed decision-making that supports sustainable growth in the competitive auto finance market. This position offers the opportunity to contribute to high-impact projects that align with our firm's risk framework and regulatory standards, while collaborating with diverse teams to mitigate risks in consumer lending. Your primary focus will be on developing sophisticated models and deriving actionable insights from complex datasets to assess auto loan acquisition strategies. You will analyze portfolio performance, identify emerging risks, and recommend enhancements to underwriting processes, ensuring alignment with JP Morgan Chase's enterprise risk management principles. By utilizing cutting-edge tools and methodologies, you will support scenario planning and stress testing to safeguard against market volatilities, contributing directly to the firm's profitability and customer-centric approach in auto finance. In this dynamic role, you will partner with senior leaders, data scientists, and business stakeholders to translate analytical findings into strategic recommendations that enhance decision quality and operational efficiency. JP Morgan Chase values a culture of inclusion and professional growth, providing you with access to world-class resources, mentorship, and career development opportunities. If you are passionate about quantitative risk analytics in the financial services industry and eager to make a meaningful impact, join us in shaping the future of auto risk management at one of the world's most admired banks.

Key Responsibilities

• Develop and maintain advanced analytical models to assess auto risk acquisitions and support strategic decision-making
• Analyze large datasets to identify trends, risks, and opportunities in auto lending portfolios
• Collaborate with cross-functional teams including underwriting, product, and compliance to enhance risk strategies
• Provide data-driven insights and recommendations to senior leadership on auto risk management
• Conduct scenario analysis and stress testing for auto loan acquisitions
• Monitor and report on key risk metrics, ensuring alignment with JP Morgan Chase's risk appetite
• Leverage tools like Python, R, or SQL to build predictive models for acquisition strategies
• Support regulatory reporting and audits related to consumer lending risks
• Innovate analytics approaches to optimize auto risk processes and drive business growth
• Mentor junior analysts and contribute to team knowledge sharing initiatives

Required Qualifications

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field
• Minimum of 3-5 years of experience in risk analytics, data modeling, or financial services risk management
• Proficiency in statistical analysis and data visualization tools
• Strong understanding of credit risk, auto lending, or consumer finance products
• Experience with large-scale data sets and database querying
• Ability to work collaboratively in a fast-paced, team-oriented environment
• U.S. work authorization without sponsorship

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative discipline
• Experience in auto finance or acquisitions risk at a major financial institution
• Familiarity with regulatory requirements such as Basel III or CCAR
• Prior exposure to machine learning applications in risk modeling
• Certification in data analytics (e.g., CFA, FRM, or SAS Certified)

Required Skills

• Statistical modeling and predictive analytics
• Proficiency in Python, R, or SAS for data analysis
• SQL and database management (e.g., Oracle, Hadoop)
• Data visualization tools like Tableau or Power BI
• Knowledge of machine learning algorithms
• Financial modeling and risk assessment techniques
• Strong problem-solving and analytical thinking
• Excellent communication and presentation skills
• Attention to detail and accuracy in data handling
• Project management and time management abilities
• Team collaboration and stakeholder management
• Understanding of regulatory compliance in finance
• Quantitative research and hypothesis testing
• Adaptability to evolving financial technologies
• Ethical judgment in risk decision-making

Benefits

• Comprehensive medical, dental, and vision insurance plans
• 401(k) retirement savings plan with company matching contributions
• Generous paid time off, including vacation, sick days, and parental leave
• Tuition reimbursement and professional development opportunities
• Employee stock purchase plan and performance-based bonuses
• Wellness programs, including gym memberships and mental health support
• Flexible work arrangements and hybrid office options in Columbus, OH
• Access to JP Morgan Chase's global employee assistance program

JP Morgan Chase is an equal opportunity employer.