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 work closely with functional partners across the firm, including other Business Managers, Product, Finance, Business Control, Legal, Risk and Compliance. 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
- 6+ 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
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
Skills Required
- Graduate or post-graduate degree in Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, Machine Learning, or another quantitative discipline.
- 6+ years of hands-on analytics experience in banking strategic analytics.
- Hands-on experience with Python and SQL.
- Experience with Tableau and Alteryx or comparable visualization and analytics tools.
- Experience with machine learning frameworks.
- Strong statistical and econometric foundation.
- Hands-on experience with pricing analytics, elasticity estimation, A/B testing, causal inference, and experimentation frameworks.
- Advanced analytics experience using SAS, Python, or R.
- Excellent communication skills for explaining complex models and influencing stakeholders and senior leadership.
- Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs.
- Ability to evaluate AI, GenAI, and intelligent automation opportunities for investigative analysis, controls, procedures, knowledge retrieval, issue summarization, and workflow efficiency.
- Familiarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, calibration and threshold optimization, imbalanced learning, and pricing sensitivity evaluation.
- Proficiency in big data ETL processes for structured and unstructured databases.
- Professional experience with AWS, Spark or EMR, ChatGPT, Confluence, and Snowflake.
- People leadership experience including recruiting, coaching, performance management, and fostering an inclusive, high-accountability culture.
- Understanding of IT processes and databases, with the ability to work directly with data owners and custodians.
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
-
Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
-
Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
-
Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
Gallery
