Quant Analytics Associate Senior

JOB DESCRIPTION

Join us to advance your analytics career by shaping innovative ML/AI solutions that drive impact across Chase.

As a Quant Analytics Senior Associate in the MLIO Analytics team, you will optimize Conversational Insights and Coaching products to enhance specialist and customer experiences. You will collaborate with cross-functional teams to deliver actionable analytics and drive business value through advanced data solutions.

Job responsibilities

• Conduct end-to-end data analysis to improve LLM and GenAI model performance across AWS and on-premises environments
• Transform complex datasets, automate reporting, and perform business driver analysis to enhance operational processes
• Identify customer and specialist friction points using advanced analytics across multiple interaction channels
• Integrate business assumptions with production data, validate hypotheses, and identify production flaws
• Present clear, actionable insights to peers, executive leadership, and business partners
• Investigate and resolve issues in data collection, model development, and production phases
• Develop SQL and Python codebases, and document data dictionaries and model outputs

Required qualifications, capabilities, and skills

• Bachelor's/Master's degree in Economics, Data Analytics, Statistics, or STEM and six years of analytics experience
• Solid programming skills in SQL with strong writing and presentation abilities
• Detail-oriented problem solver with a track record of meeting tight deadlines
• Collaborative team player with curiosity and ability to operate independently
• Hands-on experience with Excel PivotTables, PowerPoint, Tableau, Alteryx, and Python Jupyter Notebook
• Training in multivariate statistics, regression analysis, Python, SQL, and visualization tools including Tableau
• Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake

Preferred qualifications, capabilities, and skills

• Extensive experience in consumer banking operations, servicing, collections, or marketing
• Strong understanding of multi-linear regression, logistic regression, clustering, classification techniques including LightGBM and XGBoost, controlled experiments, and causal inference methods
• Experience with Machine Learning, Natural Language Processing, and Large Language Models
• Proficient in big data ETL processes for structured and unstructured databases
• Experience preferably in financial services or operations/contact center functions

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.