At a Glance
- Tasks: Lead innovative risk management projects using AI and data analytics.
- Company: Join DTCC, a leader in financial market innovation.
- Benefits: Competitive pay, health benefits, flexible work model, and professional development opportunities.
- Other info: Diverse and inclusive workplace with excellent training and growth potential.
- Why this job: Make a real impact in risk management while working with cutting-edge technology.
- Qualifications: 10+ years of experience in risk management and a strong AI mindset.
The predicted salary is between 80000 - 100000 £ per year.
Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.
Pay and Benefits:
- Competitive compensation, including base pay and annual incentive
- Comprehensive health and life insurance and well-being benefits, based on location
- Pension / Retirement benefits
- Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
- DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).
The Impact You Will Have in This Role:
As part of the Clearing & Securities Services (CSS) team, the Embedded Risk Manager plays a critical role in transforming the first line of defense by embedding risk-aware, data-driven, and AI-enabled decision-making into core business operations. You will act as a strategic partner to product and business leadership—proactively challenging and guiding the identification, assessment, and management of risks. This role goes beyond traditional risk oversight, focusing on predictive and forward-looking risk management, leveraging data analytics, automation, and AI/ML-driven insights to enhance risk visibility, anticipate emerging threats, and improve control effectiveness. You will provide independent and constructive challenge on the design and effectiveness of internal controls, ensuring alignment with control testing and issue management frameworks. By integrating technology-enabled risk insights into business decisions, you will help drive more timely, informed, and resilient risk outcomes.
Primary responsibilities:
- AI-Enabled Risk Insight & Transformation: Embed advanced analytics, automation, and AI/ML insights into risk identification, assessment, and monitoring processes. Drive the shift from reactive to predictive risk management, enabling early identification of emerging risks and control weaknesses. Champion the use of data, dashboards, and digital tools to enhance transparency, decision-making, and risk reporting. Partner with business and technology teams to integrate AI-enabled risk considerations into product design and operational workflows.
- Risk Assessments & Data-Driven Reporting: Lead the production and continuous enhancement of CSS Risk and Control self Assessments, incorporating data-driven insights and forward-looking indicators. Deliver high-quality, analytics-based risk reporting (monthly, quarterly, and ad hoc) across legal entities. Provide impactful risk insights and metrics to senior management, including Board and Risk Committees, leveraging visualization and trend analysis.
- Risk Management & Business Integration: Execute the end-to-end risk management framework (identify, assess, monitor, report) aligned to enterprise strategy and the Corporate Risk Framework. Embed risk and control considerations into daily operations, supported by real-time data and automated monitoring where possible. Partner with the New Initiatives Office (NIO) and Product teams to ensure new products are risk-assessed using scenario analysis, data insights, and AI-informed considerations.
- Incident Management & Root Cause Insight: Lead independent review and challenge of risk incidents, ensuring robust root cause analysis that identifies systemic drivers and not just symptoms. Partner with business teams to translate incident learnings into effective control design and enhancement, strengthening the overall control environment. Leverage data, trend analysis, and scenario insights to identify recurring themes and proactively prevent future incidents. Ensure lessons learned are embedded into risk assessments, control frameworks, and business processes to drive continuous improvement.
- Issue & Action Lifecycle Management: Oversee the end-to-end lifecycle of issues and action plans, ensuring data-driven validation of remediation effectiveness and sustainability. Leverage trend analysis and root cause insights to identify systemic issues and improve self-identification capabilities. Monitor issue performance metrics through automated reporting and dashboards, escalating risks in a timely manner.
- Control Environment & Testing Optimization: Provide independent challenge over control testing programs, promoting more efficient, data-driven, and automated testing approaches. Evaluate control effectiveness using quantitative insights, trend data, and scenario-based analysis. Ensure governance, risk, and control (GRC) data is accurate, current, and optimized for analytics and AI use cases. Align risk and control processes into day-to-day responsibilities to mitigate, monitor, and escalate risks appropriately, including the timely resolution of incidents.
- Governance, Training & Digital Enablement: Deliver risk and control training with a focus on data literacy, digital tools, and AI-enabled risk management practices. Partner with enterprise GRC and transformation programs to advance technology-enabled risk capabilities and standardization. Lead regulatory reporting with an emphasis on accuracy, traceability, and data integrity.
- Risk Culture & Conduct: Promote a strong, forward-looking risk culture grounded in data-driven decision-making and responsible AI use. Encourage proactive risk identification, continuous improvement, and ethical application of emerging technologies. Identify opportunities to streamline processes, reduce manual effort, and enhance efficiency through automation and intelligent solutions.
Qualifications:
- Minimum of 10 years of related experience
- Bachelor's degree preferred or equivalent experience
Talents Needed for Success:
- AI & Digital Mindset (Key Differentiator): Strong inclination toward AI-driven risk insights, automation, and data-led decision-making.
- Ability to leverage data for trend analysis, predictive risk identification, and reporting optimization.
- Familiarity with emerging technologies in financial services risk landscape.
- Strong experience in Risk Management & Incident Management.
- Proven ability in stakeholder management and influencing senior leadership.
- Experience with issue lifecycle management, audits, and control frameworks.
- Be a change ambassador and drive forward improvements.
- Proactive and laser focused on cultivating a risk mentality.
- Execution and delivery focused in a fast-paced environment.
We offer top class training and development for you to be an asset in our organization! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Embedded Risk Director in London employer: DTCC
At DTCC, we pride ourselves on being an exceptional employer, offering a dynamic and supportive work environment that prioritises employee growth and innovation. With competitive compensation, comprehensive benefits, and a flexible hybrid work model, we empower our team members to thrive both personally and professionally while making a meaningful impact in the financial markets. Our commitment to diversity and inclusion ensures that every voice is valued, fostering a culture where collaboration and forward-thinking risk management practices can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Embedded Risk Director in London
✨Tip Number 1
Network like a pro! Reach out to current employees at DTCC on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Embedded Risk Director role.
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of AI-driven risk management and data analytics. Be ready to discuss how you can embed these insights into business operations, as that’s a key part of the role.
✨Tip Number 3
Showcase your proactive mindset! During interviews, share examples of how you've identified risks before they became issues and how you’ve used data to drive decision-making. This will resonate well with the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the DTCC family.
We think you need these skills to ace Embedded Risk Director in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight how your experience aligns with the Embedded Risk Director role. Use keywords from the job description to show that you understand what we're looking for.
Showcase Your Skills:Don’t just list your skills—demonstrate them! Provide specific examples of how you've used AI, data analytics, or risk management in your previous roles. We want to see how you can make an impact at DTCC.
Be Authentic:Let your personality shine through in your application. We value a strong risk culture and want to know about your approach to challenges and decision-making. Be honest about your experiences and what drives you.
Apply Through Our Website:For the best chance of success, apply directly through our website. This ensures your application gets to the right people and shows us you're serious about joining our team at DTCC!
How to prepare for a job interview at DTCC
✨Know Your Stuff
Before the interview, dive deep into the role of Embedded Risk Director. Familiarise yourself with risk management concepts, AI-driven insights, and data analytics. Being able to discuss these topics confidently will show that you're not just interested but also knowledgeable about what the job entails.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your ability to manage risks and lead teams. Highlight instances where you've successfully implemented data-driven decision-making or automated processes. This will help the interviewers see how your experience aligns with their needs.
✨Ask Smart Questions
Interviews are a two-way street! Prepare thoughtful questions about DTCC's approach to risk management, their use of AI in decision-making, and how they foster a risk-aware culture. This shows your genuine interest in the company and helps you assess if it's the right fit for you.
✨Emphasise Collaboration
Since the role involves partnering with various teams, be ready to discuss how you've successfully collaborated in the past. Share examples of how you’ve worked with product and technology teams to integrate risk considerations into business operations. This will highlight your ability to be a strategic partner.
