
Data Risk Officer, Risk Appetite Planning, Metrics and Analysis - Senior Vice President
- Getzville, NY
- $115,840-173,760 per year
- Permanent
- Full-time
- Operating model, staffing, and culture
- Operational risk appetite
- Control objectives and standards
- Operational risk and control assessments and reporting
- Strategic decision-making
- The effective execution of Citi's Enterprise Data transformation
- 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 (e.g., contributing to challenges of specific risk appetite metrics) to meet internal commitments, leveraging the hub-and-spoke model.
- 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 and that the implications of firm-wide remediation efforts are understood in terms of "path-to-green" efforts.
- 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.
- As needed, support the primary interface to key stakeholders such as regulators, senior management, and the Board, as it relates to 2LOD assessment/point of view for the Risk Category.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of teams and create accountability with those who fail to maintain these standards
- Experience: 7-10 years of direct experience in a non-financial risk (data, technology, or reporting risk) or relevant 1LOD function within a financial services organization.
- Risk Management Knowledge: 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.
- Data Fundamentals: 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.
- Analytical Skills: Strong technical problem-solving and analytical skills to include design and execution of risk and control assessments. Further, an 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.
- Communication & Collaboration: Well-developed listening skills and a strong ability to communicate and engage effectively, both orally and in writing. Ability to constructively challenge others at all levels and across boundaries to deliver better results. Experience in working with internal relationships and partnering with a range of stakeholders (e.g., business, functions) to support change management efforts.
- Continuous Improvement: Continuous improvement mind-set to solve for root causes, assess the impact of actions, and adjust as needed; simplify and standardize at every opportunity.
- Operational Risk: 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
- Master's degree preferred