Operational Risk Analyst

🕒 April 22

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CloudWalk, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

🤖 Artificial Intelligence

💰 $150M Series C on 2021-11

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.

📋 Description

• Design, implement, and maintain the Operational Risk Management Framework in line with BACEN regulations. • Identify, assess, and monitor operational risk exposures, especially in fraud and IT-related processes. • Develop and validate AI/ML models for fraud detection, anomaly identification, and operational risk quantification. • Build and maintain AI agents to automate operational risk workflows — such as loss event tracking, KRI monitoring, and incident reporting. • Establish and monitor Key Risk Indicators (KRIs) and Risk 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. • Conduct scenario analyses and stress tests to evaluate operational resilience and inform management decisions. • Prepare clear and insightful risk reports and dashboards for senior management and regulatory audiences.

🎯 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, including acquirer, sub-acquirer, and issuer operations. • Proven experience in fraud prevention and detection across the full fraud lifecycle — onboarding, monitoring, disputes, and recovery. • Expertise in developing and validating machine learning (ML) and AI models for fraud and risk management. • Programming and data analysis proficiency (Python, SQL, R) for scenario simulation, model validation, and automation. • Ability to design and deploy AI agents to automate risk management workflows. • Knowledge of IT and cybersecurity risk frameworks (NIST, COBIT, ISO 27001) and integration into operational risk practices. • Experience managing KRIs, RCSAs, and risk dashboards for management and regulatory reporting.

🏖️ Benefits

• Join a company reshaping the financial ecosystem through technology, innovation, and inclusion. • Work with advanced AI and ML tools.