Quant Analyst- Senior Associate

JOB DESCRIPTION

Join a team that unifies diverse talent to transform business outcomes through data governance, strategy, reporting, and advanced analytics.

As a Quant Analytics Senior Associate within the Consumer & Community Banking Data & Analytics team, you will be focused on defining, refining and delivering set goals for pricing business and responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objective.

Job Responsibilities

Deliver effective quantitative problem solving and analytical research for key pricing initiatives

Apply deep understanding of business and data analytical techniques to research and experimentation

Lead, mentor, hire, and develop a high-performing team of analytics professionals, promoting scientific rigor, ethical AI, and continuous learning

Maintain a pragmatic approach to GenAI/LLMs as complementary tools, prioritizing classical/statistical/graph analytical methods for core pricing strategy workstreams

Partner with cross-functional teams, including Finance and Marketing, to drive impactful results

Design and implement scalable and reliable data analytics processes to optimize business outcomes

Conduct extensive analysis of pricing functionality, settings, and customer behavior to improve strategies and policies using advanced research and quantitative techniques

Own and support strategic pricing initiatives, including evaluating effectiveness and performing profit & loss analysis to quantify statistical and practical significance

Solve unstructured business problems and develop deep-dive analysis of customer behavior using multiple analytics and statistical techniques

Conduct hypothesis testing and advanced experimental design, including A/B and multivariate tests, to measure the impact and effectiveness of pricing strategies

Required Qualifications, Capabilities, and Skills

Graduate or post-graduate degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, or Machine Learning

3+ years of hands-on analytics experience in banking strategic analytics along with Python, SQL and visualization tool including Tableau & Alteryx.

Hands on experience in Python, SQL and visualization tool including Tableau with machine learning frameworks

Strong statistical and econometric foundation with hands-on experience in pricing analytics, including elasticity estimation, A/B testing, causal inference, and experimentation frameworks

Solid skills in advanced analytics with SAS, Python, or R language

Excellent communication skills to translate and explain complex models with clear reason codes, influencing cross-functional stakeholders and senior leadership

Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs

Ability to evaluate opportunities to apply AI, GenAI, or intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency

Familiarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, calibration/threshold optimization, imbalanced learning, and pricing sensitivity evaluation

Preferred qualifications, capabilities, and skills

Proficient in big data ETL processes for structured and unstructured databases

Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake

Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs and workflows.

People leadership: recruiting, coaching, performance management, and fostering an inclusive, high-accountability culture.

Good understanding of IT processes and databases, with ability to work directly with data owners and custodians

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, paid in the form of cash and/or forfeitable equity, 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

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

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.