Назад
Company hidden
3 дня назад

Senior Data Scientist (Fintech)

78 293 - 87 688GBP
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Data Scientist (Fintech): Shaping hirify.global’s next-generation consumer-level credit scoring and portfolio valuation models with an accent on designing and maintaining real-time PD (Probability of Default) models using statistical and ML approaches. Focus on translating modeling insights into strategic credit policies and business value, while mentoring junior team members and contributing to hirify.global’s long-term modeling vision.

Location: London

Salary: £78,293 - £87,688 GBP

Company

hirify.global is a company in the fintech and e-commerce domain.

What you will do

  • Shape hirify.global’s next-generation consumer-level credit scoring and portfolio valuation models.
  • Design and maintain real-time PD (Probability of Default) models using statistical and ML approaches.
  • Develop calibration frameworks and ensure compliance with regulatory and fairness standards.
  • Explore novel methodologies—including LLMs for explainability and feature engineering.
  • Translate modeling insights into strategic credit policies and business value.
  • Mentor junior team members and contribute to hirify.global’s long-term modeling vision.

Requirements

  • 5+ years’ experience in credit risk modeling for consumer lending, credit cards, or BNPL.
  • Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques.
  • Advanced Python and SQL skills; familiar with XGBoost, scikit-learn, pandas, MLFlow.
  • Experience with explainability frameworks such as SHAP, LIME, PDP.
  • Ability to communicate technical concepts clearly and influence cross-functional decisions.
  • Familiarity with real-time modeling and current trends in ML and credit analytics.

Nice to have

  • Hands-on experience using LLMs to extract features from unstructured data (e.g., customer communications, credit applications).
  • Knowledge of integrating third-party credit bureau data into production models.
  • Understanding of champion/challenger model frameworks and A/B testing infrastructure.
  • Exposure to loan-level economic modeling, including cost-of-capital and loss metrics.

Culture & Benefits

  • Not specified

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →