Senior Quant Analytics Associate - Card Pricing

tanding of pricing business and data analytical techniques, being well-versed in analytical research, experimentation, and empirical work.

• Conduct hypothesis testing and apply advanced experimental design techniques, designing and executing A/B tests and multivariate tests to measure the effectiveness of pricing strategies and post-performance outcomes.

• Utilize experience in customer segmentation, profiling, clustering analysis, inferential statistics, data mining, and experimental design techniques.

• Adopt a consulting mindset to identify opportunity areas for driving profitability through analytical recommendations.

• Conduct in-depth analysis and drive key analytics to help the SLT Team understand the efficacy of pricing strategies.

• Collaborate with cross-functional teams to gather requirements, define success metrics, and deliver actionable insights.

• Design and implement highly scalable and reliable data analytics processes, performing analysis and insights to drive and optimize business results.

• Leverage banking experience in one or more US consumer credit portfolios (e.g., U.S. Mortgage, Home Equity, Credit Card, Automotive, Lease, Business Banking).

• Apply knowledge of finance processes, especially pricing and macroeconomics. Exhibit strong technical and statistical skills, synthesizing data and communicating to leadership concisely and effectively, both verbally and in writing.

• Maintain focused attention to detail, being analytical and inquisitive with high standards for quality and accuracy.

• Summarize complex ideas, including technical and statistical concepts, in business-friendly language. Translate business themes into quantitative and analytical action items.

Required qualifications, capabilities, and skills

• Qualified graduate / Post-Graduation degree in a quantitative discipline; Computer Science, Statistics, Mathematics, Finance, Economics or Machine learning related field

• 7+ years of related experience in Analytics, preferably with financial services firms and/or from top banks and consulting firms

• Strong Statistical Knowledge preferably with practical experience in conducting controlled experiments - A/B Tests, Causal Inference, Synthetic Control, Diff in Diff tests etc.

• Should have a very good understanding of IT processes and databases. Should be able to work directly with data owners/custodians and contribute in building analytics data hub

• 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

• Master data storyteller with an ability to identify needles in the haystack and use Data Intelligence to draw actionable insights and make persuasive recommendations to senior stakeholders across different lines of business

• Self-motivated, goal-oriented, and able to manage and deliver in an innovation-driven and fast-paced environment.

• 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

• Excellent communication, interpersonal, and relationship-building skills. Strong analytical and problem-solving abilities.

• Ability to work effectively in a fast-paced and dynamic environment. Experience in working in Agile working environment with strong communication

• Credit Card Domain and Pricing Business knowledge preferred

• Experience in working on automation tools like selenium and Alteryx preferred.

• Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred.

• Solid programming skills in SAS/Python or R language is 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.