Quantitative Analytics Vice President, Co-Brand Card Analytics

What you'll do

• Translate business questions into analytical approaches and measurable data science solutions.
• Research, design, and implement analytical models, including Generative AI-based methods.
• Drive data science strategies and establish standards for analytical products.
• Perform exploratory statistics and data mining on diverse big data sets.
• Code technical solutions using programming languages like Python, R, or SQL.
• Define business problems and scope analytical solutions with internal partners.
• Communicate complex findings and obstacles to stakeholders to drive market delivery.
• Identify novel use cases for big data analytics and foundation models.

What we're looking for

• Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or an advanced degree and 2+ years of experience.
• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Exceptional analytical, quantitative, problem-solving, and communication skills.
• Knowledge of statistical software such as Python, R, or SAS and data querying languages like SQL.
• Experience with modern analytics tools including Hive, Hadoop, Spark, Tableau, and Alteryx.
• Familiarity with Generative AI and prompt engineering basics including design, evaluation, and guardrails.
• Experience with large language model-enabled applications such as retrieval-augmented generation or agent-like workflows (preferred).
• Financial services background and understanding of credit card profit and loss statements (preferred).