Manager, Machine Learning Engineering (Repayment & Recovery)

What you'll do

• 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.

What We Look For

• 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.