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13 дней назад

Senior Data Scientist (Credit)

Формат работы
remote (только Portugal)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Portugal
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) (Fintech): Building and deploying credit risk, affordability, and behavioural models for consumer lending across Africa with an accent on underwriting, pricing, collections, and personalised offers. Focus on designing experiments, embedding decision logic into real-time systems, and balancing approval rates, loss rates, profitability, and portfolio performance.

Location: Remote, Portugal

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, collections, churn management, and retention.
  • Design and run 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 model usage across decisioning processes.
  • Mentor product squads on experimentation and data-driven decision-making practices.

Requirements

  • Degree or equivalent qualification in a quantitative field such as statistics, mathematics, or engineering.
  • 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.

Culture & Benefits

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

Hiring process

  • Preliminary phone call with a recruiter.
  • HackerRank coding exercise covering data science theory and Python fundamentals, followed by a take-home assignment.
  • Technical interview with a Data Science Lead and behavioural and technical interview with the hiring manager.

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