Bulge Bracket Investment Banks

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**Quant Analytics Vice President – Credit Card Analytics** Lead a team of data scientists and analysts, driving customer acquisition and driving growth for JPMorgan Chase's consumer and small business credit cards. Key responsibilities include: - Collaborating with cross-functional teams to shape acquisition strategies, design offers, and target customers effectively. - Developing and deploying predictive models to optimize efficiency and enhance customer experience. - Delivering end-to-end analyses and scalable reporting to evaluate campaign performance and extract actionable insights. - Translating complex data into compelling stories, influencing senior stakeholders and driving confident decision-making. Bring a minimum of six years of industry experience and proven leadership skills, combined with proficiency in Python, R, SQL, and familiarity with cloud data platforms. Bachelor's degree in a quantitative field is required; an advanced degree is preferred. Experience in payments, lending, or credit card economics would be advantageous.

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

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Location: New York, NY, United States

Job Description

Join a team where your analytics leadership directly shapes how customers discover, choose, and engage with our credit card products. You will translate complex data into clear decisions, partner with marketing and product leaders, and build scalable insights that improve performance at speed. If you enjoy mentoring talent and delivering measurable business impact, this role offers meaningful scope, visibility, and growth.

As a Quantitative Analytics Vice President at JPMorganChase within Card Marketing Analytics, you will lead acquisition-focused analytics for United States consumer and small business credit cards. You will connect customer behavior, offer strategy, and channel performance to drive portfolio growth and improve customer outcomes. You will influence senior stakeholders with crisp storytelling, develop reusable data products, and raise the bar for how analytics powers day-to-day decisions.

Job responsibilities

Lead and develop a team of data scientists and analysts by coaching, setting clear expectations, and supporting career growth

Partner with credit card product and marketing teams to shape acquisition strategy, including offer design and targeting approaches

Build, validate, and deploy predictive models that improve acquisition efficiency and customer experience

Deliver end-to-end analyses and scalable reporting to evaluate campaign performance and identify actionable learnings

Identify opportunities across the customer journey and translate insights into experiments, strategies, and measurable outcomes

Communicate complex analytical results clearly to senior stakeholders, enabling timely and confident decision-making

Promote strong analytics practices, including experimentation discipline, model governance, and continuous improvement

Stay current on industry trends and emerging technologies to advance methods, tooling, and ways of working

Required qualifications, capabilities, and skills

Bachelors degree in a quantitative discipline (for example, statistics, computer science, operations research, mathematics, or economics) or equivalent practical experience

Two years of direct people leadership experience in an analytical function

Six years of industry experience devising analytical solutions to business problems using large, complex datasets

Demonstrated ability to influence business decisions and outcomes within a matrixed organization

Proficiency in at least one analytical programming language (for example, Python, R, or SAS)

Proficiency with databases and querying (for example, SQL and modern cloud data platforms)

Strong analytical and statistical skills with a demonstrated focus on business applications

Proven ability to synthesize results into recommendations and communicate effectively to partners and stakeholders

Demonstrated ability to manage multiple priorities and deliver results in a fast-paced, dynamic environment

Preferred qualifications, capabilities, and skills

Advanced degree (Masters or Doctorate) in a quantitative discipline

Experience in payments, lending, or credit card economics

Experience applying generative artificial intelligence using application programming interfaces (APIs) and automation workflows to analytics use cases

Lead acquisition analytics and a high-performing team to accelerate credit card growth through predictive, data-driven insights.

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