Quant Analytics Associate

Job Description
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 to drive key analytics projects and support 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 towards the analytical book of work for pricing strategy rollouts, enhancing credit card pricing for Consumer & Community Banking customers.
Contributing to effective quantitative problem solving and analytical research and delivery for key pricing initiatives.
A deep understanding of Pricing Business & data analytical techniques, and well versed with 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 impact of effectiveness of pricing strategies and post-performance measurement.
Carries 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 result
Ability to translate business themes into quantitative / analytical action items
Required Qualifications, Capabilities, And Skills
Formal degree in a quantitative discipline; Computer Science, Statistics, Mathematics, Finance, Economics or 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 on Pricing analytics , including elasticity estimation, A/B testing, causal inference and experimentation frameworks.
Strong understanding of analytics frameworks and should be able to work directly with data owners/custodians and contribute in building analytics data hub.
Hands on solid skills in advanced analytics with SAS/Python or R language
Hands on Analytics expert experienced in delivering Analytics projects/products in the financial services domain , involving large and complex data sets in an individual contributor capacity
Evaluate opportunities to apply AI / GenAI / intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency.
Build automation solutions leveraging alteryx, 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 on marketing, Pricing strategy fundamentals of 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 in working on automation tools like selenium and Alteryx preferred.
ABOUT US
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 over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About The Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Skills
Python, Snowflake, Selenium, Machine Learning, Data Analysis, LLM, Investment Banking, Documentation

Work arrangement
No