Data Science Senior Associate Card Data & Analytics team
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Job Location:
Wilmington, DE - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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:
- Bachelors degree in a relevant quantitative field and 3 years of data analytics experience or advanced degree and 2 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.
Required Experience:
Senior IC
Key Skills
- Databases
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
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 ov ... View more
