Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткая роль senior-уровня с полным циклом работы над кредитными моделями и сочетанием статистики и ML в растущем финтех-банке; гибридный формат ограничен офисами в Великобритании.
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Работа из UKСовременный стекПолный цикл моделейРастущий финтехПоддержка развития
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Credit Risk Modeller (IFRS9) (Python/Fintech): Building, implementing, monitoring and optimising IFRS9 impairment models and automated lending decisioning models with an accent on credit risk measurement, model validation and scalable implementation. Focus on developing statistical and machine learning models, investigating model and policy-rule performance, and maintaining reliable monitoring and governance across the model lifecycle.
Location: Hybrid, with work from the Milton Keynes or London office, United Kingdom.
Company
hirify.global is a UK fintech focused on lending products and services for established small and medium-sized businesses.
What you will do
Design, build, implement and continuously refine IFRS9 impairment models, including PD, LGD, SICR and economic response models.
Develop and deploy statistical and machine learning models and credit policy rules supporting automated lending decisions.
Use Python across data preparation, feature engineering, model fitting, validation, implementation and ongoing performance assessment.
Analyse rule-firing, decision and outcome data to optimise credit policy rules and decisioning flows.
Monitor population stability, discriminatory power, calibration, segment and vintage performance, decision rates and alignment with underwriting outcomes.
Investigate root causes of underperformance, improve modelling infrastructure, and document models, assumptions, limitations and changes for governance and validation.
Requirements
At least 5 years of hands-on risk modelling experience, using logistic and linear regression and machine learning models to solve practical business problems.
Experience working with large datasets and extracting and manipulating data using Excel, SQL, Python and BI tools.
Proven Python coding experience and comfort using GenAI tools to improve coding productivity.
Good understanding of IFRS9, credit and lending concepts, preferably in commercial lending.
Ability to work independently, adapt to changing priorities and collaborate across the business and modelling team.
Strong technical and business-focused writing skills for obtaining stakeholder buy-in.
Ability to work with Credit Risk, Finance, Underwriting, Collections, Product, Data and Engineering stakeholders and comply with mandatory policies and internal controls.
Nice to have
Experience implementing models into software applications.
Culture & Benefits
Hybrid and flexible working options.
Full onboarding support and continued development opportunities.
Regular social activities.
Pension contributions, discretionary bonus scheme, private health cover and life assurance.
Family-friendly policies, including enhanced maternity and paternity leave.
Inclusive workplace focused on openness and supporting diverse experiences and backgrounds.
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