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3 месяца назад

Senior Data Scientist (Fintech)

752 814 - 1 076 536SEK
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Sweden/Italy
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Scientist (Fintech): Developing and validating end-to-end fraud detection machine learning models for large-scale transaction systems with an accent on model risk management, conceptual soundness, and feature engineering. Focus on challenging first-line methodologies, building agentic AI validation tools, and ensuring compliance with regulatory and fairness standards.

Location: Must be based in or able to work from Stockholm or Milan (Hybrid)

Salary: 752,814 SEK - 1,076,536 SEK per year

hirify.global is a global fintech leader providing payment and shopping services.

What you will do

  • Perform independent end-to-end validation of fraud detection ML models across the entire lifecycle.
  • Review and challenge methodologies, assumptions, and implementations of fraud detection techniques.
  • Build and deploy agentic AI tools to automate validation workflows and surface model risks.
  • Assess model performance, stability, drift, and retraining strategies using fraud-specific metrics.
  • Analyze large-scale transaction datasets to evaluate data representativeness, leakage risks, and bias.
  • Collaborate with stakeholders to communicate model risks and document outcomes per governance standards.

Requirements

  • Master’s or PhD in a quantitative field such as Data Science, Statistics, or Computer Science.
  • 3+ years of hands-on experience in fraud-related modeling.
  • Expertise in ML methods including tree-based models, anomaly detection, and graph/network models.
  • Strong programming proficiency in Python and SQL with experience in PySpark.
  • Familiarity with cloud-based ML platforms and production deployment workflows.
  • Solid understanding of model validation principles and regulatory requirements.

Nice to have

  • Experience in transaction-heavy financial products like BNPL or credit cards.
  • Background in validating models within highly regulated environments.
  • Experience mentoring junior team members or leading validation reviews.
  • Familiarity with AI governance frameworks and emerging regulations.

Culture & Benefits

  • Work in a collaborative international environment focused on high-impact financial solutions.
  • Opportunities to influence AI governance and model risk standards in a regulated fintech setting.
  • Engagement with cutting-edge tools including GenAI and automated validation frameworks.
  • Commitment to technical excellence and cross-functional transparency.

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