Staff Data Scientist, Risk

Creditly Corp • San Francisco, CA

62d • Onsite

About The Position

Come join our AI/ML and Data Science community at Credit Genie! We are seeking a technical Data Science leader with a solid background in analytics and the consumer risk domain who is excited about solving hard Data Science and analytics problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company's next generation of risk optimization strategies that will have a vast impact across underwriting, fraud prevention, and collections. These risk optimization strategies are central to our business and have a direct impact on our customers every day. You will design, execute, and evaluate experiments to drive continuous learning and improvement in our risk optimization processes.

Requirements

• A Bachelor's degree in in Statistics, Mathematics, Business, Economics, or related fields; an advanced degree is preferred
• 8+ years of experience analyzing data using SQL or Python. Proficiency in Python for data processing and modeling is preferred
• Proven ability to design, execute, and interpret experiments (e.g. A/B testing or causal analysis) to measure impact and inform risk strategy
• Exceptional problem-solving abilities, analytical rigor, and the ability to translate complex findings into actionable insights for non-technical audiences
• Strong organizational skills with the ability to manage multiple projects in a fast-paced environment and meet tight deadlines
• Experience with SQL and data platforms such as Snowflake, Databricks, and Tableau

Nice To Haves

• Hands-on experience in risk strategy within payments, lending, banking, or financial institutions is a plus

Responsibilities

• Leverage advanced analytics and machine learning models to optimize Credit Genie's risk strategies across credit, fraud, and collections
• Own the development and delivery of risk insights, driving data-informed decisions that minimize losses while enabling sustainable business growth
• Monitor and analyze key risk KPIs, identify emerging loss trends, and propose strategy enhancements to continuously improve approval and portfolio performance
• Collaborate cross-functionally with Product, Engineering, Data, and Machine Learning teams to align on shared objectives, provide strategic insights, and deliver actionable solutions
• Act as a strategic risk advisor to business stakeholders, translating complex analyses into clear, high-impact recommendations
• Tackle ambiguous, high-impact problems with creativity and analytical rigor, developing novel solutions that directly improve customer experience and portfolio outcomes

Benefits

• 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment.
• Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness
• 401(k) with a 2.5% match and immediate vesting
• Meal program for breakfast, lunch, and dinner
• Life and accidental insurance
• Flexible PTO

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 11-50 employees