Operational Risk Analyst Jobs

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you'll do at Jamf: The Business Continuity Manager leads the development, implementation, and maintenance of Jamf’s business continuity management program to ensure operational resilience. Reporting to the Director of Business Continuity, the Manager plays a critical role in preparing for and protecting Jamf from potential disruptions, ensuring business operations can continue during and after a crisis. Responsibilities involve a strategic blend of risk assessment, contingency planning, and stakeholder communication to maintain operational resilience. Also works with cost center departments to perform business impact analyses (BIAs) and risk assessments; assists in business continuity plan (BCP) development and maintenance; conducts and evaluates BCP exercises; promotes program initiatives through training and awareness; and maintains emergency preparedness activities. What you can expect to do in this role: Drive adoption and execution of Jamf’s business continuity program by facilitating business impact analysis and risk assessments, assisting with business continuity and IT disaster recovery plan development and maintenance, and designing, organizing, and facilitating tabletop exercises to validate continuity and resilience plans and strengthen organizational resilience. Ensure continuity plans align with enterprise crisis management processes, corporate IT-DR capabilities, cyber incident response, and incident managem

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Fraud team at Affirm Bank works cross-functionally with Machine Learning, Product, Engineering, Operations to combat fraudulent activities to foster a safe platform. This role requires abundant cross-functional partnership. This individual will be the representative of the Credit Risk org, leading the charge on refining our Identity Verification and Fraud processes as well as our Application flow. Additionally, this role will work closely with the Product and Engineering teams to improve our Fraud solution. Come join us in our mission to change consumer finance through better technology, lower costs, and increased transparency while providing the best customer experience. What You'll Do This role will take charge of owning fraud performance for depository products, including monitoring fraud losses, approval rates, false positives, customer friction, and other key risk metrics Data Pipeline, Analytics & Monitoring Build and maintain scalable data models and transformation pipelines, using tools (such as DBT) to standardize depository product, transaction, customer, fraud, and operational data. Define trusted fraud performance metrics and analytical datasets, including fraud loss rates, approval and decline rates, false-positive rates, customer friction, and operational efficiency. Develop recurring dashboards, scorecards, and monitoring frameworks to provide clear visibility into fraud performance, portfolio health, and emerging risks. Conduct deep-dive analyses to diagnose fraud losses, control gaps, false positives, portfolio shifts, and unexpected performance changes, translating findings into actionable recommendations. Fraud Strategy Building & Optimization Develop and optimize fraud rules, policies, thresholds, models, and decision strategies

Operational Resilience & Cyber Risk Consultant – All Levels Location: London (Hybrid) | Practice Area: Finance, Risk, Regulatory & Financial Crime | Type: Permanent Build resilience where it matters most: cyber, technology, and third-party risk The Role Capco is seeking Operational Resilience and Cyber Risk professionals to join our growing Finance, Risk, Regulatory & Financial Crime (FRRF) capability. You'll work across the financial services and energy sectors, advising clients on regulatory expectations such as PRA and DORA, designing robust resilience frameworks, and implementing controls to close exposure gaps. This is an opportunity to deliver mission-critical transformation programmes while leveraging approved AI tools and AI-enabled ways of working to enhance analysis, improve delivery, and support better decision-making through responsible AI practices and appropriate human oversight. What You'll Do Deliver operational resilience assessments, scenario testing, and control implementation activities, using AI-enabled analysis where appropriate to improve efficiency and insight. Support regulatory readiness across PRA, DORA, and other resilience frameworks, identifying opportunities to enhance delivery through AI-enabled workflows and automation. Assess cyber posture, third-party exposure, and vendor resilience, combining data-driven insights with expert judgement to strengthen organisational resilience. Define and implement governance models, dashboards, and reporting mechanisms, ensuring appropriate governance, validation, and oversight where AI-assisted tools are used. Guide technology implementation and support cyber and operational resilience transformation programmes, identifying opportunities to responsibly apply AI to improve client outcomes. What We're Looking For Experience in operational resilience, cyber risk, and third-party risk within financial services or energy. Practical knowledge of Important Business Services (IBS), Impact Toler

Operational Resilience & Cyber Risk Consultant - all levels Location: Glasgow & Edinburgh (Hybrid) | Practice Area : Financial Crime, Risk, Regulation, Finance Transformation | Type: Permanent Build resilience where it matters most: cyber, tech, and third-party risk The Role Capco is seeking Operational Resilience and Cyber Risk professionals to join our growing FRRF capability. You’ll work across the financial services and energy sectors, advising clients on regulatory expectations like PRA and DORA, designing robust resilience frameworks, and implementing controls to close exposure gaps. This is a great opportunity to deliver mission-critical change and support high-value transformation programmes. What You’ll Do Deliver operational resilience assessments, scenario testing, and control implementations Support regulatory readiness across PRA, DORA, and other frameworks Evaluate cyber posture, third-party exposure, and vendor resilience Define and implement governance models, dashboards, and reporting mechanisms Guide tooling implementation and support cyber/tech resilience transformations What We’re Looking For Experience in operational resilience, cyber risk, and third-party risk across FS or Energy sectors Practical knowledge of IBS/ITOL calibration, scenario testing, and process mapping Ability to analyse and implement regulatory change and control remediation Strong collaboration skills to lead multi-disciplinary discussions across the business Clarity in communication, capable of engaging with stakeholders at all levels Bonus Points For Experience leading complex, multi-stream resilience or cyber transformation projects Background in cloud security assessments or cyber tooling implementation Familiarity with vendor risk assessments, remediation, and third-party governance Exposure to regulatory change projects and resilience reporting frameworks For senior candidates: mentoring, people management, and proposition development Why Join Capco Delive

Principal Consultant (Senior Manager) – Operational Resilience & Cyber Risk Location: London (Hybrid) | Practice Area: Finance, Risk, Regulatory & Financial Crime | Type: Permanent Build resilience where it matters most across cyber, technology, and third-party risk The Role Capco is seeking experienced Principal Consultants in Operational Resilience and Cyber Risk to join our growing Finance, Risk, Regulatory & Financial Crime (FRRF) capability. In this senior role, you'll lead complex client engagements across financial services and energy, advising on regulatory expectations such as PRA and DORA while driving the design and implementation of robust resilience frameworks. You'll play a key role in shaping client strategy, leading transformation programmes, and contributing to capability growth. You'll also leverage approved AI tools and AI-enabled ways of working to enhance analysis, accelerate insight generation, and improve delivery while applying responsible AI practices and appropriate human oversight. What You'll Do Lead operational resilience assessments, scenario testing, and control implementation programmes, identifying opportunities to leverage AI-enabled workflows and automation to strengthen resilience outcomes. Advise clients on regulatory readiness across PRA, DORA, and other resilience frameworks, translating regulatory expectations into practical transformation strategies and sustainable operating models. Oversee cyber risk, third-party risk, and vendor resilience assessments, using AI-enabled analytics where appropriate to strengthen risk identification, prioritisation, and decision-making. Design and implement governance models, dashboards, Important Business Services (IBS), Impact Tolerance (ITOL), and reporting frameworks, ensuring robust governance, validation, and oversight where AI-assisted tools are utilised. Lead cyber and technology resilience transformation initiatives, including tooling, cloud security, and control enhanceme

Principal Consultant (Senior Manager) – Operational Resilience & Cyber Risk Location: Edinburgh or Glasgow (Hybrid) | Practice Area: Finance, Risk, Regulatory & Financial Crime | Type: Permanent Build resilience where it matters most across cyber, technology, and third-party risk The Role Capco is seeking experienced Principal Consultants in Operational Resilience and Cyber Risk to join our growing Finance, Risk, Regulatory & Financial Crime (FRRF) capability. In this senior role, you'll lead complex client engagements across financial services and energy, advising on regulatory expectations such as PRA and DORA while driving the design and implementation of robust resilience frameworks. You'll play a key role in shaping client strategy, leading transformation programmes, and contributing to capability growth. You'll also leverage approved AI tools and AI-enabled ways of working to enhance analysis, accelerate insight generation, and improve delivery while applying responsible AI practices and appropriate human oversight. What You'll Do Lead operational resilience assessments, scenario testing, and control implementation programmes, identifying opportunities to leverage AI-enabled workflows and automation to strengthen resilience outcomes. Advise clients on regulatory readiness across PRA, DORA, and other resilience frameworks, translating regulatory expectations into practical transformation strategies and sustainable operating models. Oversee cyber risk, third-party risk, and vendor resilience assessments, using AI-enabled analytics where appropriate to strengthen risk identification, prioritisation, and decision-making. Design and implement governance models, dashboards, Important Business Services (IBS), Impact Tolerance (ITOL), and reporting frameworks, ensuring robust governance, validation, and oversight where AI-assisted tools are utilised. Lead cyber and technology resilience transformation initiatives, including tooling, cloud secu

Managing Principal / Director – Cyber & Operational Resilience Location: London (Hybrid) | Practice Area: Finance, Risk, Regulatory & Financial Crime | Type: Permanent Lead large-scale cyber and operational resilience transformation across the financial services industry The Role Capco is seeking experienced Managing Principals / Directors to join our Cyber & Operational Resilience capability. In this senior leadership role, you'll act as a strategic advisor and delivery lead, partnering with leading financial institutions to design and implement end-to-end resilience solutions. You'll play a critical role in shaping client strategy, leading complex transformation programmes, and driving growth across our Risk practice. You'll also champion AI-enabled ways of working, helping clients and teams responsibly adopt approved AI tools, automation, and data-driven insights to strengthen resilience, improve decision-making, and accelerate delivery while maintaining appropriate governance and human oversight. What You'll Do Lead large-scale cyber and operational resilience programmes, including regulatory alignment with PRA, DORA, and global resilience frameworks, identifying opportunities to leverage AI-enabled workflows and automation to enhance client outcomes. Oversee resilience assessments across operational and technology landscapes, including third-party and vendor risk, using AI-enabled analytics where appropriate to strengthen risk identification, resilience, and decision-making. Define and implement resilience frameworks, governance models, controls, and reporting mechanisms, ensuring robust governance, validation, and responsible AI practices where AI-supported capabilities are adopted. Drive cyber resilience strategy, including cyber posture assessments, security architecture, cloud security initiatives, and the responsible application of AI to improve resilience capabilities. Lead business development, proposition creation, and strategic client growt

Job Summary: We are seeking an experienced and highly analytical professional to join our Internal Audit team. This role is critical in providing independent assurance, enhancing the control environment, and leveraging data analytics to identify anomalies, control gaps, and potential fraud risks. The ideal candidate will have a strong background in internal audit, forensic investigations, and data analytics with extensive exposure to fintech or large service-based organizations. Key Responsibilities:  Lead and execute risk-based internal audits, including operational, financial, and compliance reviews.  Design and implement data analytics frameworks and continuous auditing techniques to enhance audit efficiency and coverage.  Conduct forensic reviews and investigations into suspected fraud, misconduct, or control failures.  Collaborate with cross-functional teams to understand key business processes and identify risks and controls.  Develop automated dashboards and data-driven tools to monitor key risk indicators and red flags.  Report audit findings to senior management and stakeholders with actionable recommendations.  Oversee documentation of working papers, audit procedures, and evidence in line with professional standards.  Mentor junior audit staff and build analytics capability within the team.  Liaise with external auditors, regulators (as needed) on investigations or audits.  Monitor regulatory and industry developments to ensure audit approaches are up to date. Required Qualifications ; Skills:  Chartered Accountant (CA), Certified Internal Auditor (CIA), or Certified Fraud Examiner (CFE) preferred.  2–7 years of relevant experience in internal audit, forensic investigations, or risk advisory in a fintech, BFSI, or large service industry setup.  Strong command of data analytics tools (e.g., SQL, ACL, IDEA, Power BI, Python, R).  Proficient in audit management systems and GRC platforms.  Exceptional analytical, investigative, and report-w

The Predictive Analytics Data Scientist is responsible for designing, building, and optimizing AI-driven predictive models that enhance business intelligence, risk management, and operational efficiency. This role will focus on end-to-end execution, from data collection and model development to deployment and monitoring, ensuring AI models drive actionable insights for demand forecasting, process automation, and business optimization. Source: Adani Group | Job ID: 44281

The Predictive Analytics Data Scientist is responsible for designing, building, and optimizing AI-driven predictive models that enhance business intelligence, risk management, and operational efficiency. This role will focus on end-to-end execution, from data collection and model development to deployment and monitoring, ensuring AI models drive actionable insights for demand forecasting, process automation, and business optimization. Source: Adani Group | Job ID: 44282

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Revenue Analytics Manager, you’ll be the go-to individual contributor for turning complex sales and go-to-market data into clear insights and tools that help leaders make better decisions. You’ll work with first order, SMB, and sales development and core sales performance metrics to build AI tools, analytics, and insights that Field Operations stakeholders can rely on. You’ll own projects end to end: partnering with Sales and Operations stakeholders to understand questions, managing projects, run analysis, and translating results into recommendations that drive tangible impact. You’ll work primarily

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Director, Analytics Engineering, you'll lead a team of 8 and report to the VP of Data & Insights. You set direction across the data organization, stay close enough to the work to guide technical decisions credibly, and partner with Data Engineering, Data Science, IT, and business leaders. You will have three mandates: Build trusted, AI-ready self-service. Deliver a semantic model that answers business questions correctly, with the telemetry, evals, and model flexibility to prove it and keep costs in check. Set the strategy for how GitLab accesses data. Own the data models, BI tools, and AI access p

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. The Brokerage Risk Governance and Oversight team's mission is to administer and implement Robinhood's brokerage risk management program, overseeing, facilitating, and coordinating risk management activities across our broker dealers, Robinhood Financial, LLC and Robinhood Securities, LLC. As Director of Brokerage Risk, you will partner closely with brokerage leadership and cross-functional risk teams to refine risk management capabilities, lead the team's Data Analytics and Solutions function to surface actionable risk insights across the enterprise, and play an influential role in proposing and implementing strategic risk initiatives. This role is based in our Chicago, IL office with in-person attendance expected 5 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Lead and drive consensus with senior management and cross-functional risk partners to design and implement best-in-class risk management practices, balancing rigorous risk mitigation with operational efficiency Own and evolve the Risk Management Program documentation, establishing clear standards and frameworks that create demonstrable value across the broker dealer enterprise Oversee risk assessment activities including RCSAs, new product reviews, and emerging risk identification, ensuring rigor, consistency, and regulatory alignment Direct the aggregation and presentation of risk committee materials and executive management reporting, translating complex risk

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The Data Analytics and Transformation team encompasses the Data Engineering, Semantics, Data Science, Strategic Intelligence and Business Transformation functions. The team provides analytic support and a strategic perspective to the different business functions within Celonis to enable them to make evidence-based decisions. We deliver actionable insights by collecting, organizing and interpreting data about user journeys, product telemetry, incidents, infrastructure utilization, sales motions, and everything else happening in Celonis. We transform data into analytic assets by conducting exploratory analysis, identifying outliers, validating hypotheses, building statistical models, quantifying risk; communicating findings through well crafted stories and critical recommendations. The Role: As a Staff Data Engineer in the Data Analytics and Transformation team, you will play a key role in defining and building the analytic infrastructure that will enable strategic and tactical decision making in a hyper growth environment. As one of the most senior technical experts on the team, you will provide technical leadership to design, build and maintain a data ecosystem for analytic needs. You will spearhed the implementation of th

Role Overview We are seeking a highly experienced, data-driven Fraud Risk Management professional to lead our fraud detection, investigation, and regulatory compliance frameworks. In this role, you will be responsible for safeguarding our digital payments ecosystem (including UPI, IMPS, Wallets, and Merchant platforms) by engineering advanced risk rules, optimizing machine learning models, and leading high-performing operational teams. You will also act as a primary liaison with key regulatory bodies (RBI, NPCI) and Law Enforcement Agencies (LEAs) to ensure ironclad compliance and proactive risk mitigation. Key Responsibilities 1. Regulatory Compliance & Governance  Implement Circulars: Spearhead the end-to-end implementation of all fraud risk-related circulars and compliance mandates from the RBI, NPCI, and FIU.  Regulatory Confirmation: Own and ensure the timely, accurate submission of critical regulatory implementations on the PCOMP portal.  Stakeholder Liaison: Serve as the primary point of contact for ad-hoc risk inquiries from regulatory bodies and Law Enforcement Agencies (LEA).  Executive Reporting: Prepare and present advanced data analysis and high-level risk reports for Board-level forums, including the Risk Management Committee (RMC). 2. Risk Rule Engineering & Advanced Analytics  Rule Development: Codify, test, and deploy hundreds of high-impact risk rules (velocity, blacklists, compliance) using Python and SQL to counter emerging fraud vectors.  Data Analysis: Query and analyze large-scale transactional and profile data to identify patterns, build automated daily alert reports, and perform Root Cause Analysis (RCA).  ML Model Optimization: Partner cross-functionally with Tech and Data Science teams to refine and optimize Machine Learning/AI-driven risk models to boost detection efficiency and reduce false positives. 3. Fraud Investigations & Operations  Investigations: Lead end-to-end investigations into sophisticated digital payme