Operational Risk Specialist – Fraud Modeling

At CloudWalk, operational excellence is key to building a trusted and scalable financial ecosystem.

As an Operational Risk Specialist, you'll join a high-performing team driving the evolution of our Operational Risk Management Framework in full compliance with BACEN regulations — including Res. BCB nº 265/2022, Res. CMN nº 4.557/2017 , and related standards.

You'll help us identify, assess, and mitigate operational risks across the company — with a strong focus on fraud management, technology risk, and AI-driven automation.

Working cross-functionally with Data Science, Fraud Prevention, and Engineering, you'll design, validate, and automate models and processes that strengthen resilience and make CloudWalk even smarter.

If you're passionate about blending data, risk, and automation to make operations safer and more efficient, this role is for you.

What You'll be Doing:

• Design, implement, and maintain the Operational Risk Management Framework aligned with BACEN regulations.
• Identify, assess, and monitor operational risk exposures: especially related to fraud and IT.
• Develop and validate AI/ML models for fraud detection, anomaly identification, and operational risk quantification.
• Build and maintain AI agents to automate risk workflows such as loss event tracking, KRI monitoring, and incident reporting.
• Define and monitor Key Risk Indicators (KRIs) and Risk and Control Self-Assessments (RCSAs).
• Collaborate with Data Science, Engineering, and Compliance to embed risk controls into product and process design.
• Conduct scenario analyses and stress tests to evaluate resilience and guide management decisions.
• Prepare clear and insightful risk dashboards and reports for senior management and regulators.

What You'll Need to Succeed:

• Strong knowledge of BACEN operational risk regulations (Res. BCB 265/2022, Res. 4.557/2017 , Circ. 3.978/2020 , and related standards).
• Deep understanding of the payments ecosystem — acquirers, sub-acquirers, and issuers.
• Proven experience in fraud prevention and detection across the full lifecycle (onboarding, monitoring, disputes, and recovery).
• Expertise in ML/AI model development and validation for fraud and operational risk.
• Strong programming and data analysis skills (Python, SQL, R) for simulation, validation, and automation.
• Ability to design and deploy AI agents for risk automation.
• Knowledge of IT and cybersecurity frameworks (NIST, COBIT, ISO and how they integrate with operational risk.
• Experience managing KRIs, RCSAs, and risk dashboards for management and regulatory reporting.
• Analytical and critical thinker, turning complex data into clear insights.
• Hands-on and execution-focused, iterating fast to deliver results.
• Automation-driven mindset, always looking to improve processes with AI and tech.
• Strong communicator, able to connect technical and non-technical audiences.
• Collaborative and curious, partnering with Data Science, Engineering, and Risk teams.
• Detail-oriented and accurate — your reports and models are reliable.
• Proactive, adaptable, and comfortable in a fast-paced fintech environment.
• Ethical and transparent in every decision and process.
• Advanced English for communication

Why join Cloudwalk?
Join a company that's reshaping the financial ecosystem through
technology, innovation, and inclusion
. At CloudWalk, you'll work with advanced AI and ML tools to build the next generation of risk management systems, making payments smarter, safer, and more efficient for everyone.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.