Credit Risk Analyst

1 week, 1 day ago
Full-time
Senior
Data Science and Analytics
CloudWalk

CloudWalk

CloudWalk focuses on developing an advanced payment network that empowers entrepreneurs by providing a comprehensive service for creating, deploying, and managing applications for POS terminals and smartphones, utilizing cutting-edge technology such as...

Diversified Financial Services
51-250
Founded 2013
$334M raised

Description

  • Design, implement, and maintain credit risk models and frameworks aligned with BACEN and IFRS 9 standards.
  • Monitor and manage retail credit exposures across merchant and consumer portfolios from origination through portfolio performance.
  • Develop and validate ML/AI-based models for PD, LGD, EAD, and behavioral scoring.
  • Build and maintain AI agents to automate risk monitoring, provisioning, and reporting workflows.
  • Partner with the Credit Policy team to define limits, strategies, and credit appetite aligned with the company’s RAS.
  • Perform stress testing, scenario analysis, and model backtesting to assess portfolio resilience.
  • Collaborate with Data Science, Finance, Compliance, and Fraud teams to ensure consistency, explainability, and auditability.
  • Prepare and present insights, reports, and recommendations for senior management and regulators.

Requirements

  • Solid understanding of BACEN credit risk regulations, including Res. BCB 265/2022, CMN 4.557/2017, CMN 2.682/1999, and Circular 3.978/2020.
  • Deep expertise across the retail credit lifecycle, including origination, behavioral scoring, collection, and recovery.
  • Experience in the payments and acquiring industry, including merchant, settlement, and receivables-backed credit risk.
  • Hands-on experience with IFRS 9 ECL modeling, including Stages 1, 2, and 3, and provisioning methodologies.
  • Proven experience developing and validating ML/AI credit risk models.
  • Strong programming skills in Python, SQL, R, or SAS for modeling, validation, and stress testing.
  • Familiarity with ICAAP and capital adequacy processes.
  • Understanding of model governance, documentation, and audit requirements.
  • Advanced English communication skills.
  • Analytical mindset with the ability to translate data into actionable insights.
  • Hands-on, execution-driven, and able to iterate quickly.
  • Automation-first mindset with a focus on improving processes using AI and technology.
  • Excellent communication and storytelling skills for simplifying complex ideas.
  • Collaborative and curious, with the ability to work across Data Science, Risk, and Business teams.
  • Detail-oriented with strong analytical accuracy.
  • Proactive and adaptable in a fast-paced, high-growth environment.
  • Strong ethical judgment and integrity when handling sensitive data.

Benefits

  • Remote work arrangement.
  • Full-time employment.
  • Opportunity to work with cutting-edge data, AI, and technology.
  • Mission-driven environment focused on financial inclusion and innovation.

Interested in this position?

Apply directly on the company website

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