As a content-driven technology company, Thomson Reuters operates in a uniquely complex and regulated environment and is evolving toward a real-time, data-driven risk and compliance model, moving beyond periodic, retrospective processes toward intelligent, automated systems. This role is a foundational capability builder within the Risk & Compliance function, responsible for architecting and delivering AI-powered, scalable solutions that transform how risk is identified, monitored, and managed across the enterprise. You will operate at the intersection of technology, data, and risk management, partnering closely with Risk, Technology, and Data teams to operationalize a proactive, forward-looking risk capability while embedding core operational risk management principles, including risk identification, assessment, control design, and issue lifecycle management within technology-driven solutions.
About the Role:
Key Responsibilities:
Build AI-Powered Risk Solutions
Design, develop, and deploy intelligent workflows, automation solutions, and AI-driven agents to detect, analyse, and monitor risks across structured and unstructured data.
Apply techniques such as Natural Language Processing (NLP), machine learning, and LLMs to translate regulatory content, operational data, and external signals into actionable risk insights with a focus on identifying operational risk exposures, control gaps, and early warning indicators aligned to enterprise risk taxonomy.
Engineer Scalable Risk Intelligence Platforms
Build and maintain data pipelines, models, and architectures that enable near real-time risk monitoring and insight generation aligned to enterprise risk needs.
Develop reusable, modular components and platforms that scale across business units and support enterprise-wide risk visibility.
Translate Risk Frameworks into Automated Controls
Convert risk taxonomy, control requirements, and issue management frameworks into machine-readable rules, automated controls, and monitoring mechanisms.
Design and embed preventive and detective controls within systems and workflows to strengthen risk mitigation effectiveness.
Partner with Risk & Compliance teams to ensure alignment with established operational risk methodologies, including risk assessments, control evaluations, and issue remediation frameworks.
Drive Data-Driven Risk Decisioning
Develop predictive analytics and modelling capabilities to identify emerging risks, anomalies, trends and support ongoing monitoring of key risk indicators (KRIs), control effectiveness, and risk appetite thresholds.
Deliver decision-ready insights through BI dashboards and AI-driven tools, enabling leadership forums to focus on critical risk signals and deviations.
Embed Responsible AI and Governance
Ensure all solutions adhere to Responsible AI principles, including transparency, explainability, bias mitigation, and alignment to internal and regulatory standards.
Integrate outputs into Enterprise Risk Management (ERM) processes, including risk assessment, issue lifecycle management, and reporting while ensuring traceability of risk decisions and alignment with audit and assurance expectations.
Partner and Influence Across Stakeholders
Serve as a technical liaison between Risk, Compliance, Technology, and Data teams, translating complex analytical outputs into actionable business insights.
Use data storytelling to influence decision-making and drive adoption of technology-enabled risk management practices and supporting the embedding of a consistent risk-aware culture across business and technology teams.
About You:
We are looking for a hands-on builder and problem-solver, with typically 6 – 10 year of work experience across software engineering, data analytics, AI/ML, and/or risk & compliance domains; who combines strong engineering expertise with a deep understanding of risk and compliance, and a passion for using AI and data to transform how organizations manage risk or demonstrates a strong willingness and ability to build foundational expertise in operational risk management frameworks and practices.
Required Skills & Experience
Software Engineering and Data Expertise
Strong hands-on experience in programming (e.g., Python, Java) with a proven track record of building and deploying scalable applications, automation solutions, or data pipelines.
Experience in designing data architectures, integrating multiple data sources, and ensuring data quality and reliability.
AI / Machine Learning Capabilities
Demonstrable experience or strong working knowledge of AI/ML techniques, including NLP, LLMs, and anomaly detection.
Experience applying AI to real-world problems such as unstructured data analysis, predictive modelling, or intelligent automation.
Risk & Compliance Acumen
Strong understanding of enterprise risk management concepts, including risk identification, assessment, controls, KRIs, and issue lifecycle management.
Ability to translate risk frameworks and control logic into data models, automated monitoring solutions, and system-driven controls.
Experience or working knowledge of operational risk management practices (e.g., risk assessments, control testing, issue management, KRIs) or demonstrated ability to rapidly upskill in these areas.
Analytical & Problem-Solving Skills
Ability to break down complex, ambiguous problems into clear, structured technical and analytical solutions.
Strong quantitative and analytical mindset with experience deriving actionable insights from data and link analytical outputs to risk scenarios, control effectiveness, and operational risk outcomes.
Stakeholder Engagement & Communication
Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical audiences.
Strong data storytelling capability to influence senior stakeholders and support decision-making particularly within risk governance forums (e.g., risk committees, audit discussions).
Leadership & Execution
Demonstrated ability to take ownership and drive initiatives end-to-end, from concept and design through to implementation and continuous improvement.
Experience working cross-functionally and operating effectively in a fast-paced, evolving environment.
Adaptability, Learning & Innovation Mindset
Curious, forward-thinking, and comfortable experimenting with emerging technologies and new approaches.
High degree of adaptability with the ability to pivot based on evolving business priorities and technological advancements.
Demonstrated ability and willingness to build expertise in operational risk frameworks, risk taxonomy, and enterprise risk management processes where prior experience is limited
#LI-AD2
What’s in it For You?
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com.