Lead Data Scientist / Fraud Analytics

Motion Recruitment Partners LLC; Chicago (IL); On-site; USD 80,000 - 130,000; Full time

Job summary

Join a forward-thinking FinTech company as a Senior Data Scientist, where you'll play a pivotal role in detecting and mitigating fraud. This exciting opportunity involves developing advanced machine learning models and collaborating with cross-functional teams to enhance fraud detection strategies. With a focus on innovation and data-driven solutions, you'll contribute to the company's growth while ensuring the integrity of its operations. Enjoy a dynamic work environment that values your analytical skills and offers competitive benefits, including performance bonuses and stock options.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Vacation Time

Stock Options

Performance Bonus

Qualifications

• Proven track record in fraud risk identification and mitigation.
• Experience with machine learning techniques for fraud detection.

Responsibilities

• Develop and implement machine learning models to detect fraud.
• Analyze fraud trends and develop mitigation strategies.

Skills

Machine Learning

Fraud Detection

Anomaly Detection

Python (pandas, numpy, scikit-learn)

SQL

Data Analysis

Feature Engineering

Effective Problem-Solving

Tools

Jupyter Notebooks

Git/GitHub

PostgreSQL

Docker

Shell Scripting

Job description

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.

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