Bulge Bracket Investment Banks

Posted 5 days ago

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Data Science Vice President: Wilmington, DE. Lead Card Data & Analytics team, leveraging big data, AI, and ML for strategic impact. Collaborate and consult to define problems, scope solutions, and deliver high-quality products. Must have 5+ years' experience, strong programming skills, and expertise in Python, R, SQL, and Generative AI basics.

Compensation: Not specified
City: Not specified
Country: United States

Full Job Description

Location: Wilmington, DE, United States

You can help shape how data and AI drive decisions across our Credit Card business. You will work on high-impact problems end-to-endtranslating business questions into analytical approaches, building models and solutions, and communicating insights that influence strategy and outcomes. Join a collaborative team where your work can directly improve customer and business experiences through responsible, scalable analytics.

As a Data Science Vice President at JPMorganChase within the Card Data & Analytics team, you will develop analytics and AI/ML solutions that support strategic initiatives and measurable business impact. You will partner across the Card organization to define problems, scope solutions, and deliver high-quality analytical products. You will combine consulting, data science, and programming to drive data science and analytics strategies and deliver actionable insights.

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 Generative AI-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 using strong programming skills

Collaborate across teams to deliver the best solutions for clients

Required qualifications, capabilities and skills

Formal training or certification on software engineering concepts and 5+ years applied experience

Bachelors degree in a relevant quantitative field and 5+ 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 (for example, Python, R, SAS) and data querying languages (for example, SQL)

Familiarity with Generative AI and prompt engineering basics (prompt design, evaluation, guardrails)

Experience with modern analytics tools (for example, 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 large language model-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for quality, cost, and latency

Understanding of key drivers within the credit card profit and loss statement

Financial services background

Master of Science degree or equivalent

Drive credit card growth with analytics and AI/ML solutions, partnering across the business to deliver actionable insights.

Full Job Description