Top Fintech Data Science Jobs in Chicago, IL

Build and validate predictive lending models, analyze consumer risk and portfolio impact, implement and monitor models with engineering, develop tooling and automated SQL/Python dashboards, design A/B tests, and communicate actionable insights to senior management.

As a Data Scientist, you will analyze data, build machine learning models, and collaborate with cross-functional teams to enhance customer offerings within the Discover Card portfolio.

The Associate, Data Science will develop customer lifecycle models, design predictive models, analyze data for business solutions, and collaborate with various teams to implement models and optimize processes.

The Data Scientist will develop predictive models, conduct exploratory analysis, collaborate with teams, build data pipelines, and create visualizations to drive decision-making.

Develop and refine credit models, collaborate on new initiatives, conduct A/B testing, and communicate insights to management. Essential for improving lending decisions.

The Data Scientist will develop analytic solutions and predictive models for TransUnion's clients in financial services and insurance. They will engage with clients, lead projects, and deliver insights using advanced programming and statistical techniques.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

Lead development and implementation of advanced data science models to manage fraud risk across payments. Collaborate with stakeholders, ensure data quality, monitor portfolio health, mentor junior scientists, and present insights to senior leaders to drive mitigation strategies and optimize fraud outcomes.

The Director of Data Science will develop statistical and machine learning models supporting actuarial pricing, lead cross-functional projects, and mentor teams while collaborating with stakeholders to align analytics with business strategies.

The Director, Data Science oversees data-driven solutions, manages the Data Science team, and collaborates with business units and product development to implement advanced techniques. Provides strategic leadership and mentorship to enhance team effectiveness.