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1 день назад

Credit Risk Analyst (Fintech)

Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Credit Risk Analyst (Fintech): Designing and maintaining credit risk frameworks and models in compliance with BACEN and IFRS 9 standards with an accent on retail credit exposures and AI-driven automation. Focus on developing ML/AI models for PD, LGD, and EAD, and building AI agents to optimize risk monitoring and reporting.

Location: Remote (Brazil) / São Paulo

Company

hirify.global is a financial institution building the future of payments and acquiring services.

What you will do

  • Design and implement credit risk models aligned with BACEN and IFRS 9 standards.
  • Manage retail credit exposures from origination and scoring to portfolio performance.
  • Develop and validate ML/AI-based models for PD, LGD, EAD, and behavioral scoring.
  • Build AI agents to automate risk monitoring, provisioning, and reporting workflows.
  • Perform stress testing, scenario analysis, and model backtesting to ensure portfolio resilience.
  • Collaborate with Data Science, Finance, and Compliance teams to ensure model auditability.

Requirements

  • Solid understanding of BACEN credit risk regulations (Res. BCB 265/2022, CMN 4.557/2017, CMN 2.682/1999).
  • Deep expertise in the retail credit lifecycle and the payments/acquiring industry.
  • Hands-on experience with IFRS 9 ECL modeling and provisioning methodologies.
  • Proven experience developing and validating ML/AI credit risk models.
  • Strong programming skills in Python, SQL, R, or SAS.
  • Advanced English communication skills.

Nice to have

  • Familiarity with ICAAP and capital adequacy processes.
  • Understanding of model governance, documentation, and audit requirements.

Culture & Benefits

  • Opportunity to work in a high-performing Risk Management team within a high-growth environment.
  • Automation-first mindset with a strong emphasis on integrating AI into workflows.
  • Collaborative culture working seamlessly across Data Science, Risk, and Business teams.
  • Remote-first work arrangement.

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