Lead Credit & Risk Data Science / Analytics

Join Ocrolus, a fintech company on a mission to automate workflows for lenders. As the Lead Credit & Risk Data Science/Analytics, you will analyze large datasets, develop data products and predictive models, and interact with clients as a subject matter expert. You will have the opportunity to make a significant impact in the industry while enjoying a comprehensive benefits package, unlimited time off, and a supportive work environment.

Partner with Product, Engineering, senior management, and other stakeholders to develop and commercialize analytical and data products that will drive impact for clients.

Responsibilities

• Lead efforts to mine internal, client, and partner data for unique insights and develop data products, predictive models, and analytical tools.
• Analyze large, diverse, and unique datasets around business cash flow, financial health, credit, marketplace dynamics, and repayment performance to unearth powerful insights.
• If you are a curious, high-agency analytics leader who wants to leverage your experience in SMB credit risk and strong technical skills to drive outsize impact, we want to talk to you!
• Expertise and hands-on curiosity with using LLMs and cutting-edge AI tools to create novel products and solutions

Requirements

• Strong software engineering and data engineering fundamentals. Excellent programming skills in Python and proficiency with core data science libraries (e.g., pandas, scikit-learn, Hugging Face)
• Deep understanding of statistics, probability, and machine learning algorithms
• 7+ years of professional experience in risk management, analytics, and/or data science, building decision strategies and building/deploying predictive models in a production environment
• Excellent SQL skills and comfort working with large and complex data warehouses (Snowflake/Postgres)
• Passion for understanding the “why” of the problem and the impact of solutions on client outcomes
• Full stack data-science/analytics experience: ideating, building, deploying, monitoring, and maintaining production ML models that solve real-world needs
• The ability to communicate and present complex technical topics and results to various audiences. Skilled in collaborative and compelling communication with clients and prospects
• Significant knowledge of small business credit, including underwriting, pricing, and portfolio management
• Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Statistics, Math, Engineering)
• Experience working with messy, real-world financial data (e.g., bank transaction streams, financial statements, credit reports)

Preferred

• Portfolio of past data science/analytics accomplishments (including source code)

Pay

USD 230,000 - 270,000