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обновлено 4 дня назад

Senior Data Scientist (IFRS 9)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Data Scientist (IFRS 9): Validating credit risk and IFRS 9 Expected Credit Loss models in a highly regulated financial environment with an accent on advanced statistical analysis, machine learning, and regulatory compliance. Focus on assessing model robustness, predictive power, assumptions, and implementation while strengthening model governance and communicating remediation recommendations.

Company

hirify.global AB is a Swedish IT consulting firm delivering technology teams, software development, IT consulting, and recruitment services.

What you will do

  • Perform independent validation of credit risk and IFRS 9 Expected Credit Loss models against regulatory and accounting requirements.
  • Assess model design, methodology, assumptions, implementation, and performance using statistical and machine learning techniques.
  • Evaluate model robustness, stability, predictive power, and suitability across portfolios and scenarios.
  • Identify model limitations and provide recommendations to improve model effectiveness and governance.
  • Collaborate with risk, finance, and analytics stakeholders on validation outcomes and remediation.
  • Prepare validation documentation and contribute to model validation frameworks and best practices.

Requirements

  • Professional proficiency in English.
  • Experience as a Data Scientist in a complex analytical environment.
  • Strong expertise in advanced statistical methods and machine learning techniques.
  • In-depth knowledge of credit risk concepts, IFRS 9, and regulatory and accounting frameworks.
  • Experience developing or independently validating Expected Credit Loss models.
  • Strong analytical, problem-solving, written, and verbal communication skills.

Nice to have

  • Experience in banking, financial services, or another highly regulated industry.
  • Knowledge of model risk management principles and validation best practices.
  • Experience working with large and complex enterprise datasets.

Culture & Benefits

  • Flexible hybrid working model.
  • Collaboration with cross-functional teams on impactful technology projects.
  • Supportive environment focused on continuous learning and professional development.
  • Comprehensive benefits package and competitive compensation.
  • 25 days of annual leave.
  • Annual wellness allowance of 3,500 SEK.

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