Quant Analytics Senior Associate - Consumer Deposit Product Analytics

Location: Columbus, OH, United States

Job Family: Quant Analytics

About the Role

At JPMorgan Chase, we are at the forefront of redefining the future of financial services through innovation and data-driven insights. As a Quant Analytics Senior Associate in Consumer Deposit Product Analytics, you will play a pivotal role in our Consumer Banking division, focusing on deposit products such as checking accounts, savings, and certificates of deposit. Based in our Columbus, OH hub, you will leverage quantitative expertise to deliver impactful analytics that drive business growth, enhance customer experiences, and optimize product performance. This position offers the opportunity to work with cutting-edge tools and collaborate with top-tier teams in a dynamic environment that values innovation and excellence. Your core responsibilities will include developing sophisticated models to analyze deposit trends, customer behaviors, and market dynamics, enabling data-informed strategies that support JPMorgan Chase's leadership in consumer banking. You will partner with product, risk, and marketing teams to identify growth opportunities, such as improving deposit acquisition and retention through predictive analytics and A/B testing. Additionally, you will create executive-level reports and dashboards to monitor key performance indicators, ensuring alignment with strategic goals and regulatory standards like those set by the FDIC and OCC. This role demands a blend of technical prowess and business acumen to translate complex data into actionable recommendations that contribute to the firm's profitability and customer satisfaction. JPMorgan Chase is committed to fostering a diverse and inclusive workplace where your professional growth is paramount. In this senior associate role, you will have access to mentorship, advanced training, and exposure to high-impact projects that shape the consumer deposits landscape. If you are passionate about quantitative analysis in financial services and eager to make a tangible difference at one of the world's leading banks, join us in Columbus to advance your career while helping millions of customers achieve their financial goals.

Key Responsibilities

• Develop and deliver advanced analytics and reporting solutions for Consumer Deposit products to support business decision-making and growth
• Analyze deposit trends, customer behavior, and product performance using statistical models and data visualization tools
• Collaborate with product managers, risk teams, and marketing to identify opportunities for deposit product optimization and innovation
• Build predictive models to forecast deposit inflows/outflows and assess impacts on liquidity and profitability
• Create dashboards and reports using tools like Tableau or Power BI to monitor key metrics such as deposit balances, acquisition rates, and retention
• Conduct A/B testing and experimentation to evaluate new deposit product features or pricing strategies
• Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and internal JPMorgan Chase policies in all analytics work
• Support ad-hoc analytical requests from senior leadership to drive strategic initiatives in consumer banking
• Mentor junior analysts and contribute to the development of analytics best practices within the Quant Analytics team
• Stay abreast of industry trends in fintech and consumer deposits to recommend data-driven enhancements

Required Qualifications

• Bachelor's degree in quantitative field such as Mathematics, Statistics, Computer Science, Economics, or related discipline
• Minimum of 3-5 years of experience in quantitative analytics, data analysis, or financial modeling within the banking or financial services industry
• Proficiency in SQL, Python, or R for data manipulation and analysis
• Strong understanding of consumer banking products, particularly deposit products like checking, savings, and CDs
• Experience with large-scale data sets and statistical analysis techniques
• Ability to work collaboratively in a fast-paced environment with cross-functional teams
• Excellent communication skills to present complex data insights to non-technical stakeholders

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative discipline
• Experience with machine learning or predictive modeling in financial services
• Familiarity with regulatory requirements for consumer deposits (e.g., FDIC, OCC guidelines)
• Prior work at a major financial institution like JPMorgan Chase
• Certification in data analytics (e.g., CFA, FRM, or Google Data Analytics)

Required Skills

• Advanced SQL querying and database management
• Proficiency in Python or R for statistical analysis and scripting
• Data visualization expertise with Tableau, Power BI, or similar tools
• Statistical modeling and hypothesis testing
• Machine learning techniques for predictive analytics
• Financial acumen in consumer banking and deposit products
• Excel advanced functions and VBA programming
• Big data technologies like Hadoop or Spark
• Strong problem-solving and analytical thinking
• Effective verbal and written communication
• Project management and time management skills
• Attention to detail and accuracy in data handling
• Collaborative teamwork in cross-functional environments
• Adaptability to evolving regulatory and business landscapes
• Business intelligence and reporting automation

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 JPMorgan Chase's internal training programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers, wellness programs, and mental health support
• Flexible work arrangements including hybrid options in Columbus, OH

JP Morgan Chase is an equal opportunity employer.