Digital Assets Embedded Risk Associate Director

DTCC • Jersey City, NJ

5d • Hybrid

About The Position

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.

As a member of the Clearing & Securities Services team, the Digital Assets Embedded Risk Associate Director strengthens the first line of defense by partnering with product, operations, technology, and business leadership to identify, assess, manage, monitor, and report risks associated with digital assets, tokenization initiatives, and emerging market infrastructure. The role helps embed sound risk management practices into business activities while supporting the safe, resilient, and compliant expansion of digital clearing and settlement capabilities that shape the next generation of financial market infrastructure. In this role, you will work cross-functionally with business and technology stakeholders to promote effective risk and control management, support management's assessment of internal control effectiveness, and drive adherence to established control testing and issue management frameworks. The Associate Director will facilitate the identification, escalation, remediation, and monitoring of control gaps, self-identified issues, audit findings, and regulatory matters, while partnering with management to develop and execute appropriate risk response strategies, including mitigation, remediation, acceptance, and enhanced controls. Through these efforts, the role helps ensure risks are proactively managed and aligned with the firm's risk appetite, regulatory obligations, and strategic objectives.

Requirements

• 8+ years of relevant experience in financial risk management, clearing operations, fintech infrastructure, or crypto asset markets.
• Bachelor's degree preferred or equivalent experience.
• Demonstrated ability to leverage AI-enabled tools, data analytics, and emerging technologies to enhance risk identification, monitoring, reporting, and decision-making.
• Familiarity with DLT protocols, blockchain ecosystems, digital custody models, tokenized securities, stablecoin mechanisms, smart contracts, and the associated operational, technology, and regulatory risks.
• Demonstrated ability to balance innovation and risk management by embedding appropriate controls and governance into emerging business initiatives within a regulated, member-focused environment.
• Demonstrated ability to balance innovation and risk management by embedding appropriate controls and governance into emerging business initiatives within a regulated, member-focused environment.

Responsibilities

• Leverage knowledge of digital assets, tokenization, blockchain technologies, and AI-enabled processes to identify, assess, and manage emerging risks while supporting responsible innovation and regulatory compliance.
• Develop risk intelligence capabilities that shift the organization from reactive to predictive risk management, enabling earlier identification of digital asset risks, control gaps, and potential operational vulnerabilities.
• Establish and monitor key risk indicators (KRIs) for digital asset exposures, blockchain infrastructure dependencies, smart contract risks, and critical third-party technology providers, ensuring timely escalation and mitigation of issues.
• Assess the risk implications of evolving market structures, industry standards (e.g., ISO 20022 and smart contract frameworks), and global regulatory developments impacting tokenized asset clearing, settlement, and custody activities.
• 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.
• 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.
• 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.
• Strong 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.
• 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.
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree