Quant Analyst- Senior Associate

Socket.dev; New York (NY); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

Chase is recruiting a Quant Analytics Senior Associate to shape pricing strategy within the Consumer & Community Banking Data & Analytics team. You will conduct rigorous pricing analyses, design experiments, and lead a team to deliver measurable business impact.

The role requires 3+ years of analytics experience in banking, strong Python/SQL skills, and a solid foundation in econometrics and ML. Collaboration with Finance and Marketing is essential, with opportunities to leverage AI-enabled

Qualifications

• Graduate or post-graduate degree in a quantitative discipline (CS, Statistics, Math, Finance, Economics, Data Analytics, ML).
• 3+ years of hands-on analytics experience in banking strategy analytics with Python, SQL and visualization tools (Tableau & Alteryx).
• Hands-on experience in Python, SQL and visualization tools with ML frameworks.
• Strong statistical/econometric foundation with pricing analytics, elasticity estimation, A/B testing, causal inference and experimentation frameworks.
• Proficiency in SAS, Python, or R for advanced analytics.
• Excellent communication to translate complex models for stakeholders and leadership.
• Exposure to enterprise AI enablement and LLM-assisted workflows.

Responsibilities

• Deliver quantitative problem solving and analytical research for pricing initiatives.
• Apply business and data analytics techniques to research and experimentation.
• Lead and develop a team of analytics professionals with rigor and ethics.
• Maintain pragmatic GenAI/LLMs use while prioritizing classical analytic methods.
• Partner with Finance and Marketing to drive results.
• Design scalable analytics processes to optimize outcomes.
• Analyze pricing functionality and customer behavior to refine strategies.
• Own strategic pricing initiatives and perform profit and loss analyses.
• Solve unstructured problems with deep-dive analyses of customer behavior.
• Conduct hypothesis testing and A/B/multivariate experiments to measure impact.

Skills

Python

SQL

Tableau

Alteryx

Econometrics

Statistical Modeling

Machine Learning

Communication

GenAI awareness

Education

Graduate degree in a quantitative discipline

Tools

AWS

Spark/EMR

ChatGPT

Confluence

Snowflake

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

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.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

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.