Embedded Risk Associate

DTCC • Jersey City, NJ

2d • Hybrid

About The Position

The Embedded Risk Associate is part of DTCC’s Clearing & Security Services team and strengthens the first line of defense by challenging product and general management’s identification, assessment, response, reporting, and monitoring of risks. The role reviews management’s assessment of internal control effectiveness, including adherence to control testing and issue management frameworks, and partners with management on risk response strategies that appropriately address identified internal and external risks.

The associate supports data-driven, forward-looking risk management and explores how data, automation, and AI can support business resilience. Responsibilities span incident and root-cause review, issue and action-plan lifecycle oversight, control testing and assessment, product and service enablement, governance-risk-control data quality, and promotion of a strong risk culture. The role also supports the design and prototyping of AI agents and helps ensure that AI-driven processes, models, data controls, and emerging technology risks are effectively governed.

DTCC offers a flexible/hybrid model with three days onsite and two days remote. Onsite days are Tuesdays, Wednesdays, and a third day determined by the team or employee.

Requirements

• Minimum of 4 years of related experience.
• Familiarity 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 use data for trend analysis, predictive risk identification, and reporting optimization.
• Prior experience in risk management and incident management.
• Ability to build effective partnerships across functions and seniority levels to shape practical solutions.
• Knowledge of issue lifecycle management, audits, and control frameworks.
• Ability to champion practical, iterative change while balancing progress with appropriate rigor and control.
• An enquiring approach: looking beyond immediate answers to understand underlying drivers, challenge assumptions, and identify opportunities to strengthen risk management.
• Ability to maintain momentum, ownership, and focus through shifting demands and obstacles; prioritize commitments according to risk and business impact and seek input to progress toward desired outcomes.
• Financial services business acumen, including understanding supported business areas, critical services, and client impacts, and aligning risk assessments to the business.
• Enjoys asking questions, working with people who bring different perspectives, and turning ideas into practical improvements.

Nice To Haves

• Bachelor’s degree preferred, or equivalent experience.

Responsibilities

• Design and prototype AI agents to support effective challenge of AI-driven business processes, model governance, data controls, and emerging technology risks while supporting innovation and regulatory compliance.
• Help shift risk management from reactive to predictive by identifying emerging risks and control weaknesses early.
• Use data, dashboards, and digital tools to improve transparency, decision-making, and risk reporting.
• Independently review and challenge risk incidents, ensuring root-cause analysis identifies systemic drivers rather than only symptoms.
• Partner with business teams to translate incident learnings into effective control design and enhancements.
• Use data, trend analysis, and scenario insights to identify recurring themes and proactively prevent future incidents.
• Embed lessons learned into risk assessments, control frameworks, and business processes.
• Monitor the end-to-end lifecycle of issues and action plans, validating remediation effectiveness and sustainability using data.
• Use 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.
• Independently challenge control testing programs and promote more efficient, data-driven, and automated testing approaches.
• Evaluate control effectiveness using quantitative insights, trend data, and scenario-based analysis.
• Participate in developing new products and services, embedding risk considerations from inception.
• Assist with control design, building robust, scalable, and effective controls aligned with business objectives and regulatory expectations.
• Ensure governance, risk, and control data is accurate, current, and optimized for analytics and AI use cases.
• Integrate risk and control processes into day-to-day work to mitigate, monitor, and escalate risks appropriately, including timely incident resolution.
• Review Process, Risk, and Control data quality to ensure foundational GRC elements are periodically refreshed to reflect current procedures and support oversight and consistency.
• Conduct control assessments, including trend analysis, to promote consistent risk management practices across Solutions Businesses.
• Promote a 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 improve 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 and retirement benefits.
• Paid time off and personal/family care, and other leaves of absence to support physical, financial, and emotional well-being.
• Flexible/hybrid work model with three days onsite and two days remote.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level