Lead Data Scientist / Fraud Analytics

We’re looking for a Senior Data Scientist to join a Chicago-based FinTech company specializing in personal loans. As the business continues to grow so there is a new opportunity for someone to help detect and mitigate fraud within their Data Science team.

An ideal candidate for this role will have a proven track record of identify and mitigating fraud risks using a variety of machine learning techniques like anomaly detection and other advanced analytics.

Required Skills & Experience

• Develop and implement machine learning models to detect and prevent fraudulent activity.
• Design and deploy anomaly detection models and rules-based fraud detection systems.
• Perform advanced feature engineering on fraud-related datasets.
• Turn business challenges into analytical problem statements and develop data-driven solutions.
• Analyze fraud trends and develop strategies to mitigate emerging threats.
• Collaborate with engineering, risk, and fraud operations teams to deploy and monitor models.
• Continuously improve fraud detection accuracy while minimizing false positives.
• Provide actionable insights and recommendations based on data analysis.
• Contribute to the strategy and direction of fraud-focused data science initiatives

Desired Skills & Experience

• Fraud detection methodologies and risk assessment techniques
• Python - pandas, numpy, scikit-learn
• Jupyter notebooks
• Version control systems (Git/GitHub)
• SQL, PostgreSQL
• Docker
• Shell scripting/command line tools
• Real-time and batch fraud detection systems
• Effective problem-solving skills with strong analytical abilities
• Ability to communicate technical concepts and findings clearly to non-technical stakeholders
• Experience working in fast-paced, data-driven environments
• Strong organizational and time management skills with the ability to prioritize tasks
• Self-starter with the ability to drive projects independently

The Offer

• Performance bonus eligible

You will receive the following benefits:

• Medical, Dental, and Vision Insurance
• Vacation Time
• Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

#LI-EM1