Associate in Model Risk Management role within Financial Services Group analyzing financial risks. Support senior members with model validation, risk assessments, and deliver reports.
CI
Hybrid Data Risk Officer – Risk Appetite Planning, Metrics and Analysis
Posted 4 months ago
About the role
- Data Risk Officer overseeing data risk appetite planning and metrics for Citi. Collaborating with teams to assess and monitor risk management strategies in a hybrid work environment.
Responsibilities
- Support the primary oversight of the firm's Data Risk Appetite, including assessment of factors of risk, assessing and monitoring "path-to-green" efforts, and managing metrics that measure risk and associated analysis.
- Work collaboratively with 1LOD teams to support the definition of clear "path-to-green" strategies and assist in driving the execution of agreed plans.
- Contribute to identifying and executing independent second-line risk assessments, in coordination with other ORM teams where needed.
- Participate in internal knowledge sharing initiatives related to Data Risk Appetite efforts.
- Help ensure that this multidisciplinary and cross-cutting risk area is well understood.
- Assist in the negotiation and remediation of identified risk and control concerns.
- Prepare materials for escalation of significant or unaddressed risk issues and control environment concerns to appropriate governance forums and Risk leadership.
- Support the primary interface to key stakeholders such as regulators, senior management, and the Board.
Requirements
- 5-7 years of direct experience in a non-financial risk (data, technology, or reporting risk) or relevant 1LOD function within a financial services organization.
- Experience in assessing risk appetite for non-financial risks aligned with regulatory expectations.
- Proficient in risk assessment principles and supervisory expectations in terms of the quantity and quality of operational risk management.
- Demonstrable understanding of Data Management fundamentals, including Data architecture, Data principles, and a deep appreciation of intersectionality and interdependency with enterprise Technology and systems architecture.
- Strong technical problem-solving and analytical skills to include design and execution of risk and control assessments.
- Ability to identify conflicts, discrepancies, and other issues, and contribute to bringing together the right team to solve them.
- Deep expertise with risk metrics, including prominent roles in design, delivery, sustainability of metric delivery and/or auditing/challenging metrics.
- Ability to constructively challenge others at all levels and across boundaries to deliver better results.
- Continuous improvement mind-set to solve for root causes, assess the impact of actions, and adjust as needed; simplify and standardize at every opportunity.
- Well-versed in executing risk management monitoring routines, tracking identification to resolution.
- Experience applying operational risk management frameworks in a global organization.
- Bachelor's degree in Computer Science, Data Science, Information Technology, Business, or a related field
Benefits
- medical, dental & vision coverage
- 401(k)
- life, accident, and disability insurance
- wellness programs
- planned time off (vacation)
- unplanned time off (sick leave)
- paid holidays
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