Manager, Machine Learning Engineering – Repayment & Recovery

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Affirm

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💳 Fintech

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2021-01

Fintech • B2C • eCommerce

Affirm is a financial technology company that offers a 'Buy Now, Pay Later' service, allowing consumers to make purchases and pay for them over time with flexible payment plans. Affirm eliminates hidden fees and compound interest, providing clear terms and conditions for its users. The company also offers the Affirm Card, a debit card that allows users to request to pay over time for larger purchases or pay in full for smaller ones. Affirm partners with various retailers across multiple categories, including electronics, apparel, and travel, providing customers with the convenience of paying over time at checkout both online and in physical stores. Affirm's services are integrated with Apple Pay, enabling customers to make payments seamlessly from their iPhone or iPad.

📋 Description

• Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects across repayment, collections, recovery, and loss mitigation. • Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes. • Collaborate across teams in the product development lifecycle by partnering with product management, design, analytics, and risk to ensure technical sustainability, risks and trade-offs are well understood and managed. • Develop talent by providing feedback and guidance, and leading by example.

🎯 Requirements

• Bachelor's in a technical field with 8+ years of industry experience, including 3+ years managing engineers. • A background in financial services, specifically in credit / lending, with hands-on experience in post-origination modeling — collections, repayment, recovery, loss mitigation, early-warning or behavioural risk, or similar. • Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML. • Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture. • You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. • This position requires either equivalent practical experience or a Bachelor's degree in a related field.

🏖️ Benefits

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount