Embedded Risk Associate

• 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).

Being a member of Clearing & Security Services team, the Embedded Risk Manager strengthens the role of the first line of defense by challenging product management and general management of risks, including its effort to identify, assess, respond to, and report and monitor risks. In this role, the Risk Manager challenges management's assessment of internal control effectiveness by ensuring management's adherence to Control testing framework, Issue management framework (including self-identified issues), and Identified issues resulting from audits or regulatory exams, and partners with management on risk response strategies (mitigate, control, accept, remediate, etc.) to ensure the strategies sufficiently address identified risks, whether internal or external.
 

Primary Responsibilities: 

AI-Enabled Risk Insight & Transformation 

• Technology-aware and AI focused, design and prototype AI agents, enabling effective challenge of AI-driven business processes, model governance, data controls, and emerging technology risks while supporting innovation and regulatory compliance.
• Enable the shift from reactive to predictive risk management, enabling early identification of emerging risks and control weaknesses 
• Drive the use of data, dashboards, and digital tools to enhance transparency, decision-making, and risk reporting 

Incident Management & Root Cause Insight 

• Perform 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 
• Monitor 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 
• Track issue performance metrics through automated reporting and dashboards, escalating risks in a timely manner 

Enterprise Risk, Control Design & Product Enablement

• 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 
• Active involvement in the development of new products and services, ensuring risk considerations are embedded from inception 
• Assist capability in control design, with a focus on building robust, scalable, and effective controls aligned to business objectives and regulatory expectations
• Ensure governance, risk, and control (GRC) data is accurate, current, and optimized for analytics and AI use cases 
• Aligns risk and control processes into day-to-day responsibilities to mitigate, monitor, and escalate risks appropriately, including the timely resolution of incidents. 

Process, Risk and Controls

• Perform quality review of Process, Risk, and Control data to ensure GRC foundational elements are periodically refreshed to reflect current procedures for oversight and consistency 
• Conduct Control Assessments inclusive of trend analysis to drive consistent risk management practices across Solutions Businesses

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 4 years of related experience
• Bachelor's degree preferred or equivalent experience

Talents Needed for Success:

• AI & Digital Mindset (Key Differentiator)
• Familiar with Risk and Control Self‑Assessments (RCSAs), including risk identification, inherent and residual risk assessment, control design evaluation, and challenge of risk ratings
• 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
• Prior experience in Risk Management & Incident Management
• Experience with stakeholder management and influencing senior leadership
• Knowledge of 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 
• Financial services business acumen, with the ability to understand supported business areas, critical services, and client impacts, and to align risk assessments to business