Join our Card Data & Analytics team as a Data Science Senior Associate, where you'll have the opportunity to impact the Credit Card business through data-driven solutions and insights. This role offers career growth and the chance to work on strategic, high-visibility projects.
As a Data Science Senior Associate in the Card Data & Analytics team, you will develop AI/ML solutions that drive the bottom line for our Credit Card business. You will utilize your skills in data analytics, consulting, and programming to support strategic initiatives and deliver actionable insights. Collaborate with partners across the Card business to define problems, scope solutions, and deliver high-quality analytical models. Your work will involve a mix of consulting, data science, and programming, with a focus on driving data science and analytics strategies.
Job Responsibilities:
- Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.
- Drive data science and analytics strategies, including recommendations on analytical products and standards.
- Help partners define business problems and scope analytical solutions.
- Build an understanding of problem domains and available data assets.
- Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods.
- Perform exploratory statistics and data mining tasks on diverse datasets.
- Communicate findings and obstacles to stakeholders to drive delivery to market.
- Develop subject matter expertise in financial and operational domains.
- Code solutions with strong programming skills.
- Collaborate across teams to deliver the best solutions for clients.
Required Qualifications, Capabilities, and Skills:
- Bachelor’s degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 3+ years of experience.
- Exceptional analytical, quantitative, problem-solving, and communication skills.
- Intellectual curiosity for solving business problems.
- Leadership and collaboration skills.
- Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
- Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails).
- Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
- Ability to convey complex information to technical and non-technical audiences.
Preferred Qualifications, Capabilities, and Skills:
- Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency.
- Understanding of key drivers within the credit card P&L.
- Financial services background preferred.
- M.S. degree or equivalent.
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
- Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 3+ years of experience.
- Exceptional analytical, quantitative, problem-solving, and communication skills.
- Intellectual curiosity for solving business problems.
- Leadership and collaboration skills.
- Knowledge of statistical software (Python, R, SAS) and data querying languages (SQL).
- Familiarity with Generative AI and prompt engineering basics (prompt design, evaluation, guardrails).
- Experience with modern analytics tools (SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
- Ability to convey complex information to technical and non-technical audiences.
- Ability to code solutions with strong programming skills.
- Experience with LLM-enabled applications (retrieval-augmented generation, classification/extraction from unstructured text, agent-like workflows) and evaluation methods for LLM quality, cost, and latency.
- Understanding of key drivers within the credit card P&L.
- Financial services background.
- M.S. degree or equivalent.
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.
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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.
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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.
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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.
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