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3 часа назад

Senior Data Scientist (Credit)

Формат работы
remote (только Spain)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (Credit) (Credit Risk and Consumer Lending): Building and deploying credit scoring, affordability, and behavioural models for underwriting, pricing, collections, and retention with an accent on credit risk modelling, experimentation, and real-time decision systems. Focus on optimising approval rates, loss rates, and profitability, translating complex analyses into business recommendations, and ensuring ethical model use across large-scale lending decisions.

Location: Remote, Spain

Company

hirify.global is an African financial platform providing payments, banking, credit, cross-border, and business management tools to businesses and individuals.

What you will do

  • Develop and deploy credit scoring, affordability, and behavioural models for underwriting, pricing, and collections.
  • Design experiments to optimise approval rates, loss rates, and profitability.
  • Partner with product squads to embed decision logic into real-time systems.
  • Ensure data quality, regulatory compliance, and ethical use of models.
  • Mentor product squads on experimentation and data-driven decision-making.
  • Build models to optimise collections, churn management, and user retention.

Requirements

  • Degree or equivalent qualification in Statistics, Mathematics, Engineering, or a related quantitative field.
  • 5+ years of experience in data science, decision science, or risk analytics within financial services.
  • Working knowledge of credit risk, consumer lending, and regulatory considerations.
  • Proficiency in SQL and at least one modelling or programming language, such as Python or R.
  • Experience with A/B testing, machine learning, collections modelling, and churn management.
  • Ability to translate complex analyses into clear recommendations for business stakeholders and work effectively in cross-functional teams.

Culture & Benefits

  • People-first culture focused on well-being, inclusion, mutual respect, and open participation.
  • Learning and development environment with knowledge sharing, training, and internal technical talks.
  • Salary, pension, health insurance, monthly bonuses, and additional benefits.

Hiring process

  • Preliminary phone call with a recruiter.
  • HackerRank coding exercise covering data science theory, mathematics, statistics, linear algebra, and Python fundamentals.
  • Take-home assignment followed by technical and behavioural interviews.

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