Operational Risk Specialist

November 20

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CloudWalk, Inc.

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Fintech • Blockchain • Artificial Intelligence

CloudWalk, Inc. is focused on revolutionizing the payments industry by democratizing financial services and empowering entrepreneurs through innovative solutions. Their mission is to create a fair and technologically advanced payment network on Earth and beyond. Utilizing AI and blockchain, CloudWalk offers products such as InfinitePay, a financial platform serving businesses in Brazil, and JIM, an instant payment system in the US. Stratus, their high-performance blockchain, supports global payment networks. CloudWalk emphasizes customer engagement and disruptive economic models to transform how merchants sell and profit.

201 - 500 employees

💳 Fintech

🤖 Artificial Intelligence

💰 $150M Series C on 2021-11

📋 Description

• 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.

🎯 Requirements

• 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 27001) 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.