Quant Analytics Associate

**JOB DESCRIPTION**
We thrive on curiosity, passion, optimism, and the belief in continuous growth for everyone.

As a Quant Analytics Associate within the Card Acquisitions Forecasting & Offers Analytics team, you will transform data into actionable insights that drive investment strategies for credit card acquisitions. With a strong analytical background, proficiency in data processing and visualization, and the ability and willingness to collaborate effectively with multiple partners, you will be a key member of the team that drives sustainable growth in the Card business.

**Job responsibilities**
- Utilize Snowflake, SAS, Python, R, Alteryx, and other ETL tools to extract and analyze data, converting it into actionable insights.
- Integrate structured and unstructured data from multiple sources to uncover meaningful trends and patterns that inform marketing strategies and acquisition forecasts.
- Define appropriate key performance indicators to track business performance, and develop consistent, reliable, and informative reports.
- Utilize Tableau, Excel, PowerPoint, and other data visualization tools to effectively communicate insights and tell compelling stories.
- Partner with Finance, Risk, Marketing, and Product teams to improve processes and procedures related to the development, and P&L forecast, of initiatives aimed at driving sustainable growth of the credit card business.

**Required qualifications, capabilities, and skills**
- Bachelor’s degree in quantitative field, e.g., Computer Science, Mathematics, Engineering, etc., involving data processing, analysis, and research
- Minimum 4 years of professional experience in a data-driven environment
- Experience with data ETL and visualization tools, e.g., Snowflake, SAS, Python, R, Alteryx, Tableau, Excel, Powerpoint, etc.
- Excellent communication and presentation, attention to detail, problem solving, analysis, intellectual curiosity, continuous improvement, risk management

**Preferred qualifications, capabilities, and skills**
- Intermediate to expert experience with data ETL and visualization tools, e.g., Snowflake, SAS, Python, R, Alteryx, Tableau, Excel, Powerpoint, etc.
- Experience in credit cards and/or retail banking

**ABOUT US**

JPMorgan Chase & Co., 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.