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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing machine learning teams and developing advanced solutions for credit lending decisions. Strong background in financial services with a focus on technical leadership and collaboration across diverse teams.
Highest-signal resume keywords
Machine Learning ProficiencyTeam Management ExperienceTechnical LeadershipFinancial Services BackgroundAdvanced Model Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningTree-Based ModelsTransformersDeep LearningAgentic MLEngineering SkillsSystem ArchitectureTechnical Strategy DevelopmentOperational Process DefinitionModel Scaling
Soft Skills
CollaborationTalent DevelopmentFeedback and GuidanceCommunicationProblem-Solving
Certifications & Qualifications
Bachelor's Degree in Technical Field
Industry Keywords
Credit LendingFinancial ServicesUnderwriting ProjectsRisk ManagementProduct Development Lifecycle
About the role
Key responsibilities & impact- Manage a team of machine learning engineers building models for credit lending decisions across Europe and Australia
- Set the team's technical strategy and connect engineers' work to business-impacting underwriting projects
- Define and advocate for technical solutions and operational processes
- Collaborate with product management, design, analytics, risk, and engineering across the product development lifecycle
- Ensure technical sustainability, risks, and trade-offs are understood and managed
- Develop talent through feedback, guidance, and leading by example
- Design, implement, and scale advanced machine learning solutions
- Contribute to Affirm's long-term machine learning strategy
Requirements
What you’ll need- Bachelor's in a technical field
- 8+ years of industry experience
- 3+ years managing engineers
- Background in financial services, specifically in credit / lending
- Proficiency in machine learning, including tree-based models, transformers, deep learning, and agentic ML
- Strong engineering skills
- Ability to provide hands-on technical leadership while working with code and architecture
- Ability to work from low-level language idioms through architecture of large systems
Benefits
Comp & perks- Equity rewards
- Monthly stipends for health, wellness and tech spending
- 100% subsidised medical coverage for employees and dependents
- Dental and vision coverage for employees and dependents
- Flexible time off
- Generous holiday calendars
- Employee stock purchase plan (ESPP) with discounted Affirm stock
- Inclusive interview process and accommodations for candidates with disabilities
- In-person onboarding experience
