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.
Design, implement, and maintain theOperational Risk Management Frameworkin line withBACENregulations.
Identify, assess, and monitoroperational risk exposures, especially infraudandIT-relatedprocesses.
Develop and validateAI/ML modelsfor fraud detection, anomaly identification, and operational risk quantification.
Build and maintainAI agentsto automate operational risk workflows — such as loss event tracking, KRI monitoring, and incident reporting.
Establish and monitorKey Risk Indicators (KRIs)andRisk and Control Self-Assessments (RCSAs)for ongoing risk tracking.
Collaborate with Data Science, Engineering, and Compliance teams to embed risk controls into product and process design.
Conductscenario analyses and stress teststo evaluate operational resilience and inform management decisions.
Prepare clear and insightful risk reports and dashboards for senior management and regulatory audiences.
Hard skills:
Strong knowledge ofBACEN operational risk regulations(Res. BCB 265/2022, Res.4.557/2017, Circ.3.978/2020, and related standards).
Deep understanding of thepayments ecosystem, including acquirer, sub-acquirer, and issuer operations.
Proven experience infraud prevention and detectionacross the full fraud lifecycle — onboarding, monitoring, disputes, and recovery.
Expertise in developing and validatingmachine learning (ML)andAI modelsfor fraud and risk management.
Programming and data analysis proficiency (Python, SQL, R) for scenario simulation, model validation, and automation.
Ability todesign and deploy AI agentsto automate risk management workflows.
Knowledge ofIT and cybersecurity risk frameworks(NIST, COBIT, ISO 27001) and integration into operational risk practices.
Experience managingKRIs, RCSAs, and risk dashboardsfor management and regulatory reporting.
Soft skills:
Analytical and critical thinkerwith the ability to translate data into actionable insights.
Hands-on and execution-oriented, capable of independently implementing and iterating solutions quickly.
Automation-driven mindset, always seeking ways to streamline processes using AI and technology.
Strong communication and storytelling, simplifying complex analyses for technical and non-technical audiences.
Collaborative team player, fostering strong partnerships across Data Science, Engineering, and Risk teams.
Attention to detail and accuracy,ensuring reliability in models, metrics, and reports.
Adaptable and proactive, thriving in a dynamic, data-intensive, and fast-growing fintech environment.
Ethical and transparent, ensuring compliance and integrity in all risk management activities.
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.
