Senior Manager, Machine Learning

About Our Client

The organization is a pioneer in the AI-driven lending marketplace, dedicated to making borrowing smarter, fairer, and more affordable across the United States. By partnering with banks and credit unions, they utilize a sophisticated AI engine that processes over 1,800 signals to make more than one million predictions per borrower. Their technology moves beyond traditional credit scores to expand access to credit for millions of consumers. With a digital-first culture, they support a highly distributed team across 80+ cities in the US and Canada while maintaining a strong commitment to innovation.

About the Opportunity

The Senior Manager, Machine Learning is a high-impact leadership role overseeing the Small Dollar Loans (SDL) and Cash Line ML teams. You will lead the development of underwriting and pricing models for subscription-based lines of credit and short-term loans designed for underserved borrowers. This role is at the intersection of high-level research and production scaling, requiring a leader who can navigate the complexities of credit risk and customer behavior (churn/default) while ensuring that ML solutions align with capital market requirements and broader business performance.

Responsibilities

• Model Innovation: Lead the early-stage development of ML models for new Cash Line products, focusing on customer behavior, churn, and default risk.
• Underwriting Excellence: Refine and improve SDL underwriting models to create a scalable framework for small-dollar credit.
• Decision Engineering: Design and optimize decision engines that translate complex model outputs into clear, automated lending outcomes.
• Validation & Metrics: Develop and validate rigorous performance metrics to ensure system reliability and secure confidence from capital market partners.
• Team Leadership: Attract, mentor, and grow a world-class team of ML scientists, fostering a culture of technical rigor and rapid execution.
• Cross-Functional Strategy: Collaborate closely with Product, Engineering, and Capital Markets to integrate ML capabilities into the core business strategy.
• Execution: Bridge the gap between research and production, ensuring models are deployed efficiently and monitored for long-term accuracy.

Requirements

• Experience: 6+ years of experience developing and deploying ML models with measurable financial impact; proven history of leading high-impact projects from research through to production.
• Education: Advanced degree (Master’s or PhD) in Computer Science, Statistics, Economics, or a related quantitative field.
• Technical Depth: Strong technical judgment in model design and data analysis; proficiency in production ML environments and modern technology stacks.
• Business Intuition: Exceptional statistical and economic intuition, with the ability to make sound decisions in uncertain or data-limited environments.
• Leadership: Demonstrated experience leading and developing technical teams of ML scientists.
• Preferred Skills:
• Experience building and scaling new ML-driven products from the ground up.
• Familiarity with small-dollar lending or consumer finance (outside of traditional banking).
• Hands-on experience with ML infrastructure, including feature stores, pipelines, and monitoring tools.

Compensation & Benefits

Compensation

• The pay range and total compensation package for this role will be determined based on the candidate’s specific experience, skills, and market data.

Benefits & Perks

• Work Culture: Digital-first environment with the flexibility to work from 80+ cities in the US and Canada.
• Growth: Opportunity to work at the forefront of AI and financial inclusion.
• Collaboration: A culture that values both remote autonomy and meaningful in-person collaboration.
• Impact: Direct involvement in shaping products that expand credit access to underserved communities.

Equal Opportunity Statement

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

About RemoteHunter

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