Quant Analyst- Senior Associate

JPMorgan Chase & Co.•New York, NY

3d•$109,250 - $165,000

About The Position

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.

Requirements

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

Nice To Haves

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

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