At CloudWalk, we’re building the future of payments — and risk is at the heart of making that happen responsibly.
As a Credit Risk Analyst, you’ll be part of a high-performing Risk Management team shaping and maintaining our credit risk framework in full compliance with Banco Central do Brasil (BACEN) regulations — including Res. BCB nº 265/2022, CMN nº 4.557/2017, and CMN nº 2.682/1999 — as well as IFRS 9 standards for expected credit loss (ECL) modeling and provisioning.
You’ll take a hands-on role managing and monitoring retail credit risk exposures across merchant and consumer portfolios in a Type 3 / Segment S3 financial institution operating in the payments and acquiring space.
This role blends deep expertise in credit risk and regulation with a passion for data, automation, and AI — helping us build scalable, smart systems that keep our ecosystem safe while enabling innovation.
If you’re driven by the challenge of connecting regulation, analytics, and technology to design next-gen credit risk solutions, you’ll fit right in.
- Design, implement, and maintain credit risk models and frameworks aligned with BACEN and IFRS 9 standards.
- Monitor and manage retail credit exposures from origination and underwriting to scoring and 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 s tress testing, scenario analysis, and model backtesting to ensure portfolio resilience.
- Collaborate closely with Data Science, Finance, Compliance, and Fraud teams to ensure consistency, explainability, and auditability across models.
- Prepare and present insights and reports for senior management and regulators.
- Solid understanding of BACEN credit risk regulations ( Res. BCB 265/2022, CMN 4.557/2017 , CMN 2.682/1999 , Circular 3.978/2020 ) .
- Deep expertise across the retail credit lifecycle: 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 (Stages 1, 2, 3) and provisioning methodologies.
- Proven experience developing and validating ML/AI credit risk models .
- Strong programming skills ( 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
- Analytical mindset: able to translate data into actionable insights.
- Hands-on and execution-driven; you get things done and iterate fast.
- Automation-first mindset: constantly improving processes with AI and tech.
- Excellent communicator and storyteller; you simplify complex ideas.
- Collaborative and curious, working seamlessly with 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 in handling sensitive data.