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

Leads a small team of ML scientists as a player-coach, owning ML strategy and technical execution for lending products like cash lines or auto loans. Drives 0→1 innovation and scaling of production models with 6+ years experience and advanced quantitative degree.

About the job

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.

Skills

Machine Learning, Ml Models, Production Ml, Data Analysis, Statistical Modeling, Model Evaluation, ML Infrastructure, Experimentation Pipelines, Feature Stores, Model Monitoring, Python, Underwriting Models, Churn Modeling, Default Modeling, Competing Risk Modeling