Quant Analytics Associate

About the role

The Consumer and Community Banking division at Chase provides a wide range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. Within this division, the Analytics and Business Strategy Execution team leverages data to create competitive advantages and generate critical analytical insights to support strategic initiatives for Collections and Recovery Operations.

Responsibilities

• Demonstrate robust data programming and analytical skills to efficiently collect, organize, analyze, and disseminate significant amounts of information with a high degree of attention to detail and accuracy.
• Monitor internal and external trends (customer/industry) and understand business drivers, underlying data and core operational processes to support strategic direction with independent and thoughtful insights.
• Leverage innovation, AI technology and design thinking to continually improve operational efficiency and resilience.
• Address issues with forward-looking solutions and collaborate across functions (Ops, Risk, Finance, Legal, Compliance, and Technology) to support design, testing and implementation of strategies to optimize return on investment and mitigate risks, amidst continuous change in an agile and demanding work environment.
• Interpret and present data clearly using narratives, visualizations, and context to convey insights and drive action.
• Become a subject matter expert and trusted partner to influence business direction and support operational success.

Requirements

• Beginner knowledge in statistics, finance, analytics, predictive modeling and machine learning techniques.
• Bachelor's degree in Statistics, Economics, Econometrics, Operations Research, Mathematics, Finance or equivalent quantitative field, with 1+ years of applied analytical experience in complex and large data environments.
• Proven experience with programming languages (SQL, SAS, R, Python, Alteryx), relational databases (Oracle/Teradata), and visualization tools (Tableau) to effectively collect, analyze, uncover and communicate meaningful patterns and insights.
• Utilize logical reasoning and data analysis to solve problems and simplify complex techniques into actionable information using a variety of visual elements to inform and facilitate decision-making.
• Focus on results, continuous learning and process improvements to accelerate business objectives.
• Coordinate efforts and leverage diverse perspectives working effectively across functions to achieve common goals.
• Develop knowledge of products and services and understand roles within the business to support maximizing results.
• Proactively manage performance and work delivery expectations, set high-standards for self, act with sense of urgency and follow structured approach to manage multiple priorities and deliverables with high quality and error-free.
• Build and maintain positive relationships with clients and stakeholders, addressing their needs and interests effectively.
• Educate others on the importance of data and analytics in driving business decisions.

Qualifications

• Bachelor's degree in Statistics, Economics, Econometrics, Operations Research, Mathematics, Finance or equivalent quantitative field, with 1+ years of applied analytical experience in complex and large data environments.
• Proven experience with programming languages (SQL, SAS, R, Python, Alteryx), relational databases (Oracle/Teradata), and visualization tools (Tableau).
• Experience with data governance, strategy development, and data science and machine learning disciplines.
• Ability to interpret and present data clearly using narratives, visualizations, and context to convey insights and drive action.
• Knowledge of collections and recovery operations in Auto, Card, Retail, and/or Business Banking products.

Skills

• Advanced proficiency in SQL, SAS, R, Python, and Alteryx.
• Strong understanding of data structures, algorithms, and statistical methods.
• Experience with data visualization tools such as Tableau.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team.
• Experience with data governance and strategy development.
• Understanding of machine learning and predictive modeling techniques.

Benefits

This is a Hybrid position, requiring the incumbent to commute/work on-site 3 days a week and work from home 2 days a week. Expected to become full in-office presence in Q4 2027.

Pay

Base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, awarded in recognition of individual achievements and contributions.

Schedule

Monday through Friday, 8:00 am to 5:00 pm.

About Us

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About The Team

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.