Top Fintech Data Science Jobs in Chicago, IL

As a Principal Associate in Data Science, you'll develop modeling approaches, collaborate on cross-functional teams, and apply explainability techniques to improve credit decisioning at Capital One.

The Senior Director, Global Fraud Analytics will define the global fraud analytics strategy, overseeing product direction and lifecycle management while leading AI initiatives and collaborating with data teams to deliver scalable analytics solutions.

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.

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 Senior Data Scientist will lead model development and analytics, collaborate with teams on complex projects, and innovate modeling practices in insurance analytics.

The Senior Data Scientist will develop machine learning models, conduct A/B tests, and work with behavioral data to enhance customer engagement and partner ROI.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

The Data Science Actuary role involves building and maintaining rating systems and risk models, conducting analysis for underwriting and operations, and integrating new data sources while collaborating with multiple teams.