Quant Analytics Associate

Promote pricing analysis for credit cards, delivering insights and scalable solutions that optimize pricing and key business outcomes. This role sits in Marketing Growth & Innovation, part of Card Services within Chase's Consumer & Community Banking group.

As a Quant Analytics Associate in the Card Pricing Strategy team, you'll be responsible for driving key analytics projects and supporting pricing initiatives for the Credit Card business. You'll collaborate with cross-functional partners to deliver trusted, scalable analytics solutions that enhance pricing strategies. This role requires strategic thinking and technical expertise to advance pricing goals and support business objectives during pricing strategy rollouts.

Job responsibilities:

• Drive and contribute toward the analytical book of work for pricing strategy rollouts, enhancing credit card pricing for Consumer & Community Banking customers.
• Contribute to effective quantitative problem solving, analytical research, and delivery for key pricing initiatives.
• Develop a deep understanding of pricing business and data analytical techniques, and be well versed in analytical research, experimentation, and empirical work.
• Conduct hypothesis testing and use advanced experimental design techniques. Design and execute A/B tests and multivariate tests to measure the impact and effectiveness of pricing strategies and post-performance measurement.
• Carry a consulting mindset to understand opportunity areas for driving profitability through analytical recommendations.
• Partner with cross-functional teams, including Finance and Marketing, to drive impactful results.
• Design and implement highly scalable and reliable data analytics processes and perform analysis and insights to drive and optimize business results.
• Translate business themes into quantitative and analytical action items.

Required qualifications, capabilities, and skills:

• Formal degree in a quantitative discipline: Computer Science, Statistics, Mathematics, Finance, Economics, or a machine learning related field with 3+ years of related experience in analytics.
• Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs and workflows.
• Strong statistical and econometric foundation with hands-on experience in pricing analytics, including elasticity estimation, A/B testing, causal inference, and experimentation frameworks.
• Strong understanding of analytics frameworks and ability to work directly with data owners and custodians and contribute to building an analytics data hub.
• Hands-on solid skills in advanced analytics with SAS, Python, or R.
• Hands-on analytics expert experienced in delivering analytics projects and products in the financial services domain, involving large and complex data sets in an individual contributor capacity.
• Evaluate opportunities to apply AI, GenAI, and intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency.
• Build automation solutions leveraging Alteryx and Snowflake workflows.
• Leadership drive, ability to analyze problems, design solutions, and communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions.
• Strong grasp of marketing and pricing strategy fundamentals of the consumer banking business.
• Strong business acumen and ability to translate technical details, observations, and inferences into business language.

Preferred qualifications, capabilities, and skills:

• Strong analytical and problem-solving abilities.
• Excellent communication, interpersonal, and relationship-building skills.
• Preferably from financial services firms and/or from top banks and consulting firms with Credit Card domain and pricing business knowledge.
• Experience working on automation tools like Selenium and Alteryx preferred.