Quant Analytics Senior Associate - Deposit Modeling and Analytics

Location: OH, United States

Job Family: Quant Analytics

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a strong emphasis on innovation and client-centric solutions. The Quant Analytics Senior Associate - Deposit Modeling and Analytics role within our Consumer & Community Banking division plays a pivotal part in optimizing deposit strategies that drive sustainable growth. Based in Columbus, OH, this position involves leveraging advanced quantitative techniques to dissect deposit behaviors, forecast liquidity needs, and provide strategic recommendations to senior executives. As a key contributor to our analytics team, you will work on high-impact projects that influence billions in deposit balances, ensuring our banking products remain competitive in a dynamic economic landscape. Your core responsibilities will include building sophisticated models to predict deposit flows under various interest rate scenarios and economic conditions, drawing on vast datasets from JP Morgan's proprietary systems. You will collaborate closely with treasury, risk management, and product teams to integrate these insights into actionable strategies, such as pricing adjustments and promotional campaigns. Utilizing tools like Python and SQL, you will automate processes and create visualizations that simplify complex analyses for non-technical audiences, all while adhering to stringent regulatory standards like those from the Federal Reserve and OCC. This role offers an exciting opportunity to advance your career in quantitative finance at one of the world's most respected institutions. We value diverse perspectives and foster a culture of continuous learning, where your contributions directly impact our ability to serve millions of clients. If you thrive in a collaborative environment and have a passion for turning data into strategic advantage, join JP Morgan Chase to shape the future of deposit management in commercial banking.

Key Responsibilities

• Analyze historical and real-time deposit data to identify trends, patterns, and drivers of deposit inflows and outflows
• Develop and maintain advanced statistical and machine learning models for deposit forecasting, beta estimation, and scenario analysis
• Collaborate with senior leadership to deliver actionable insights that inform deposit growth strategies and pricing decisions
• Perform ad-hoc analytics on deposit portfolios, including sensitivity to interest rates, economic conditions, and competitive factors
• Integrate deposit models with broader balance sheet and liquidity risk frameworks at JP Morgan Chase
• Validate and back-test models to ensure accuracy and compliance with internal and regulatory standards
• Present findings through reports, dashboards, and executive summaries to guide strategic initiatives
• Work with data engineering teams to enhance data pipelines and automate analytical processes
• Monitor key performance indicators (KPIs) for deposit products and recommend optimizations
• Contribute to innovation in deposit analytics, leveraging emerging technologies like AI for enhanced predictive capabilities

Required Qualifications

• Bachelor's degree in quantitative field such as Mathematics, Statistics, Economics, or Computer Science; advanced degree (Master's or PhD) preferred
• 3+ years of experience in quantitative analytics, modeling, or data analysis within financial services, particularly in banking or deposits
• Proficiency in statistical modeling and machine learning techniques for time series and predictive analytics
• Strong experience with large-scale data manipulation and analysis using SQL, Python, or R
• Demonstrated ability to communicate complex analytical findings to non-technical stakeholders
• Knowledge of regulatory requirements in banking, such as Basel III or FDIC guidelines related to deposits
• Experience with deposit-related data sources and financial metrics in a commercial banking environment

Preferred Qualifications

• Advanced degree in Quantitative Finance, Econometrics, or related field
• Prior experience at a major financial institution like JP Morgan Chase, focusing on consumer or commercial banking analytics
• Familiarity with deposit beta modeling, liquidity forecasting, or balance sheet optimization
• Certifications in data science (e.g., CFA, FRM) or programming (e.g., Python Data Science)
• Experience collaborating with cross-functional teams in strategy, risk, or treasury functions

Required Skills

• Statistical modeling and econometrics
• Machine learning algorithms (e.g., regression, clustering, time series)
• Programming in Python, R, or SAS
• SQL for database querying and data extraction
• Data visualization tools like Tableau or Power BI
• Financial modeling and forecasting
• Knowledge of banking products and deposit mechanics
• Risk analysis and scenario modeling
• Analytical problem-solving
• Strong communication and presentation skills
• Project management and stakeholder collaboration
• Attention to detail and data accuracy
• Adaptability to fast-paced environments
• Understanding of regulatory compliance in finance
• Big data handling with tools like Hadoop or Spark

Benefits

• Comprehensive health, dental, and vision insurance plans with employer contributions
• 401(k) retirement savings plan with generous company matching
• Paid time off including vacation, sick days, and parental leave
• Professional development programs and tuition reimbursement for advanced education
• 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's global mobility programs and career advancement opportunities

JP Morgan Chase is an equal opportunity employer.