Senior Manager, Machine Learning - Small Dollar Loans & Cash Line

How you'll make an impact

• Act as a Player-Coach: Dive deep into the data and code. You will spend a significant portion of your time making direct technical contributions, reviewing code/PRs, and understanding the mathematical nuances of your team's models.
• Lead Strategic Initiatives: Take ownership of a specific product area (like Cash Line or Auto) and serve as the de facto ML leader in cross-functional strategy meetings.
• Drive 0→1 and Scaling ML Efforts: Depending on your team placement, you may build out entirely new capabilities from scratch or optimize highly mature models dealing with massive scale and shifting macro-economic regimes.
• Translate Models to Business Impact: Design and refine decision engines that translate model predictions into accurate, transparent, and customer-friendly lending outcomes.

Minimum Qualifications

Experience

• 6+ years of experience developing and deploying machine learning models in production with direct business impact.
• Proven track record of leading high-impact ML initiatives from research through productionization.
• Advanced degree in a quantitative field (e.g., computer science, statistics, economics, operations research, etc).

Technical abilities and attitude

• Strong technical judgment and ability to dive deep into model design, data analysis, and evaluation.
• Keen statistical, economic and business intuition, and comfort with reasoning under uncertainty and data limitations.
• Knowledge of production ML, ability to adapt to new tech stacks and get in the weeds of work output from the team.
• Excited and able to make direct technical contributions when needed.

Leadership

• Exceptional leadership skills with experience developing teams of highly technical ML scientists.
• Attract, mentor, and grow a top-tier team of ML scientists passionate about expanding access to credit.
• Proven ability to influence and collaborate cross-functionally with Product, Engineering, Capital Markets and other teams.
• Strong project management skills with experience scaling processes and operational workflows.

Preferred Qualifications

• PhD in Computer Science, Statistics, Economics or a related field.
• Proven success building and scaling new ML products from inception.
• Familiarity with lending, lines of credit, or other consumer finance products.
• Hands-on familiarity with end-to-end ML infrastructure, including experimentation pipelines, feature stores, and model monitoring. Ability to uplevel team’s engineering practices and drive cross-functional engineering design.