We have an exciting and rewarding opportunity for you to take your Analytics career to the next level.
As a Quant Analytics Associate Senior within the Lending Innovation Data & Analytics team, you will collaborate closely with Product Owners to deliver insights through descriptive, diagnostic, predictive, and prescriptive analytics. Your proficiency in SQL for data extraction, descriptive analytics, and dashboard creation will be essential in defining metrics, sourcing data, developing queries, and creating reports. With a background in statistics or computer science, you will support the team's growth into advanced data science, machine learning, and AI projects as the role evolves.
Job responsibilities
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- Collaborate with Product and Data & Analytics (D&A) teams to define objectives and deliverables.
- Perform descriptive analytics to summarize key findings and trends using SQL and Python.
- Develop and maintain dashboards for internal and external stakeholders.
- Provide insights through data visualization and reporting.
- Apply statistical methods, predictive/prescriptive modeling, Generative AI, and other machine learning techniques to address business challenges such as price optimization, funnel optimization, and response measurements.
Required qualifications, capabilities, and skills
- Bachelor's degree in Statistics, Economics, Mathematics, or any Engineering field involving significant quantitative research and data analysis.
- 6+ years of experience with excellent SQL and Python skills.
- 2+ years of experience managing a team of at least 2-3 analysts.
- Excellent critical and analytical thinking skills.
- Strong background in statistical analysis and coding.
- Experience with data visualization tools (e.g., Tableau) and frameworks (e.g., React, Dash).
- Capable of defining metrics, evaluating results, and drawing business insights.
- Excellent written and verbal communication skills, with the ability to communicate complex findings to non-technical stakeholders.
Preferred qualifications, capabilities, and skills
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus
- Familiarity with cloud platforms (AWS, Snowflake) for data storage and computing
- Knowledge of A/B testing and experimental design
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.