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Quant Analytics Associate - Sql, Alteryx And Tableau

Posted on July 12, 2025

  • Ka, India
  • 0 - 0 USD (yearly)
  • Full Time

Quant Analytics Associate - Sql, Alteryx And Tableau

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JOB DESCRIPTION


Join us to enhance credit card acquisition strategies and drive sustainable growth.

As a Quant Analytics Associate within the Card Data and Analytics team, you will leverage your expertise in data engineering, analysis, and modeling to advance our credit card acquisition strategies. You will develop predictive models, create data assets, and refine processes to support acquisitions forecasts and offers. This individual contributor role is integral to driving the growth of our credit card portfolio through quantitative methods and data exploration.

Job Responsibilities:

  • Provide tactical support and strategic oversight to Product, Marketing, Finance, and Risk teams for credit card acquisitions.
  • Develop actionable data-driven insights for marketing campaigns.
  • Leverage and develop data assets to improve acquisitions forecast quality.
  • Support business goals by developing reports for senior leaders to monitor key performance metrics.
  • Enhance efficiency and effectiveness by identifying and closing gaps in processes and systems.
  • Ensure business continuity by adopting standards and best practices.
  • Stay current with industry trends and emerging technologies.

Required Qualifications, Capabilities, and Skills:

  • Degree in a quantitative discipline (e.g., engineering, mathematics, computer science).
  • 4+ years of experience in data/decision science, forecasting, data management/engineering, and business intelligence.
  • Proficiency in data ETL, analysis, visualization, and change management using tools like Snowflake, SAS, Python, R, Alteryx, Tableau, GitHub, Excel, PowerPoint.
  • Ability to communicate clearly to audiences of varying technical levels.

Preferred Qualifications, Capabilities, and Skills:

  • Experience with causal inference and machine learning techniques, including developing and deploying quantitative models.
  • Professional experience in consumer banking, lending, or similarly regulated industries.
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.

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