DTCC Candidate Experience Site-posted 3 months ago
Full-time • Mid Level
Jersey City, NJ
1,001-5,000 employees

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. The HR Data Intelligence & Risk Analytics Associate Director will leverage advanced data analytics and automation to enhance HR control testing, risk identification, and data integrity. This role involves developing tools and protocols to support audit readiness and regulatory compliance.

  • Apply advanced data analytics and automation techniques to enable continuous control testing, enhance issue detection, and strengthen HR’s internal control framework.
  • Extract and analyze diverse data types from multiple systems to produce risk-informed insights and support control effectiveness assessments.
  • Develop queries and analytical tools to improve efficiency in risk identification, support control monitoring, and facilitate timely escalation of emerging issues.
  • Design and implement routine data validation protocols to ensure the accuracy, completeness, and integrity of outputs used in audit readiness and regulatory reporting.
  • Collaborate with internal stakeholders to validate business requirements for automated control testing, ensuring alignment with governance objectives and providing regular progress updates.
  • Maintain comprehensive documentation of all work products to support audit traceability, control transparency, and knowledge continuity.
  • Contribute to the evolution of HR’s data capabilities by researching and evaluating innovative data analysis methods and technologies that enhance risk oversight.
  • Support the development of data literacy and governance awareness across HR through structured learning sessions.
  • Minimum of 5 years of related experience with data analysis, automated testing, and reporting.
  • Demonstrated proficiency in leveraging AI tools effectively.
  • Bachelor's degree preferred or equivalent experience.
  • Experience using data analysis and reporting automation tools.
  • Working knowledge of data science and machine learning principles and technologies (e.g. Python, R, KNIME, etc.).
  • Experience in audit, risk management, or compliance is a plus.
  • 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.
  • Flexible/hybrid model of 3 days onsite and 2 days remote.
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