Quant Analyst- Senior Associate

JPMorgan Chase; New York (NY); On-site; USD 109,000 - 165,000; Full time

Job summary

JPMorgan Chase is seeking a Quant Analytics Senior Associate in New York to define and deliver pricing analytics initiatives across the Consumer & Community Banking Data & Analytics team. You will lead analytics projects, mentor teams, and apply rigorous quantitative methods to optimize pricing strategies.

The role emphasizes AI-enabled workflows, advanced experimentation, and collaboration with Finance and Marketing to drive measurable business impact.

Qualifications

• 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

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

Skills

Python

SQL

Tableau

Alteryx

Machine learning

Statistical analysis

Education

Graduate or post-graduate degree in a quantitative field

Tools

SAS

R

Spark/EMR

AWS

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

Base Pay/Salary

New York,NY $109,250.00 - $165,000.00 / year