Risk, Operational Risk, Associate, Dallas

Goldman SachsDallas, TX
Onsite

About The Position

The Risk Division is seeking an Associate, Operational Risk to join their team in Dallas. This role involves identifying, monitoring, and analyzing operational risks related to data management practices. The Associate will develop recommendations to improve data management operations, create and report on metrics for data management standards, and propose operational risk appetite. Responsibilities include monitoring control inventories, conducting scenario analysis, contributing to risk profile assessments, and ensuring the consistency of risk and control self-assessments. The role also requires staying current on business drivers and regulatory changes impacting data governance, contributing to the advancement of operational risk methods, and driving initiatives to improve risk management activities.

Requirements

  • Master’s degree (U.S. or foreign equivalent) in Finance, Economics, Business Administration, Computer Science, Accounting, Law, or a related field and one (1) of experience in the job offered or in a related role.
  • OR Bachelor’s degree (U.S. or foreign equivalent) in Finance, Economics, Business Administration, Computer Science, Accounting, Law, or a related field and three (3) years of experience in the job offered or in a related role.
  • Prior experience must include two (2) years with Master’s degree or four (4) years in the following:
  • Regulatory Compliance and Business Law
  • Corporate Governance and Risk Management
  • Finance and Financial Products
  • Operational Process Analysis
  • Management and Stakeholder Communication
  • Project Management

Responsibilities

  • Identify, monitor, and analyze operational risks arising from data management practices such as prioritization of critical data, cataloguing of data lineage, data sourcing contracts, data governance standards, data quality controls and data quality monitoring
  • Develop evidence-based challenges and recommendations to improve data management operations and reduce operational risk
  • Develop, monitor and report metrics to measure adherence to data management standards, such as ownership, authoritative data sourcing and data quality controls
  • Propose qualitative and quantitative operational risk appetite/tolerance and monitor risk-taking trends through bespoke metrics.
  • Monitor the key control inventory for critical data, challenging the absent or non-compliant controls and ensure alignment with defined standards
  • Conduct scenario analysis by working with stakeholders to develop plausible tail risk scenarios used in quantifying specific businesses exposure to potential risk
  • Contribute to divisional and functional risk profile assessments by highlighting risk issues and trends to senior divisional managers and senior Operational Risk management team
  • Conduct quarterly triggered assessments to ensure the divisional risk and control self-assessment outcomes are consistent, credible, and underpinned by appropriate evidence
  • Remain current on business drivers, regulatory and industry changes impacting the firm’s data governance activities and obligations
  • Contribute to the advancement of operational risk methods and practices and the operational risk management framework
  • Identify and drive initiatives that improve the risk management activities at the firm
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service