Чётко очерченная роль руководителя в продуктовой финтех-компании: здесь есть ответственность за кредитные ML-системы и сильный пакет льгот, но нужны и управление командой, и глубокая техническая вовлечённость.
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Высокая планка ролиML в кредитованииЩедрые льготыУдалённо в Европе
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manager, Machine Learning Engineering, Checkout (Machine Learning): Leading a team building machine learning models for credit lending decisions across Europe and Australia with an accent on repayment prediction, loan offer optimization, and advanced ML techniques. Focus on setting technical strategy, scaling underwriting solutions, mentoring engineers, and solving complex architecture and ambiguity challenges.
Location: Remote UK; other locations include Remote Poland and Remote Spain.
Base pay range per year: £142,000–£190,000.
Company
Affirm provides predictable payment-over-time solutions and develops financial products for borrowers.
What you will do
Lead a team of machine learning engineers building models that support credit lending decisions across Europe and Australia.
Set the team’s technical strategy and connect engineering work to business-critical underwriting projects.
Design, implement, and scale advanced machine learning solutions using novel techniques and rich data representations.
Partner with engineering, product, design, analytics, and risk teams throughout the product development lifecycle.
Clarify technical risks and trade-offs, establish sustainable operational processes, and contribute to the long-term machine learning strategy.
Develop engineers through feedback, guidance, mentoring, and hands-on technical leadership.
Requirements
Bachelor’s degree in a technical field and 8+ years of industry experience, including 3+ years managing engineers.
Background in financial services, specifically credit or lending.
Proficiency in machine learning, including tree-based models, transformers, deep learning, and agentic ML.
Strong engineering skills and the ability to provide hands-on technical leadership across code and architecture.
Comfort working through ambiguity, from low-level language idioms to the architecture of large systems.
Culture & Benefits
Remote-first work with flexibility within the country of employment; occasional office work may be required for some positions.
In-person onboarding is provided for all new hires.
Medical coverage, including 100% subsidized coverage for employees and dependents, plus dental and vision benefits.
Monthly stipends for technology, health, and wellness expenses.
Flexible time off, generous holiday calendars, and an employee stock purchase plan.
Inclusive interview process with accommodations available for candidates with disabilities.
Hiring process
Affirm provides an inclusive interview process and candidate accommodations when needed.
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