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Senior Vice President of Quantitative Risk Management
2 months ago
Position Overview:
The Senior Vice President of Quantitative Risk Management is a pivotal leader who stays abreast of the latest developments in the field and applies them strategically within the organization. This role is typically held by a select few individuals who possess a high level of expertise. Exceptional communication skills are essential for negotiating at senior levels within the company and influencing key stakeholders. The role carries significant accountability for direct business outcomes and provides authoritative guidance on operational matters. It necessitates a strong degree of responsibility over technical strategy and primarily impacts a specific sub-function.
Key Responsibilities:
- Enhance and validate methodologies for measuring and analyzing various risk types, including market, credit, and operational risks. Additionally, develop and strategize the use of scoring models and related policies.
- Oversee the development, validation, and deployment of risk models.
- Advance risk management methodologies and integrate analytical models into business decision-making processes.
- Manage comprehensive annual assessments and submissions, both quantitative and qualitative.
- Utilize large datasets and complex algorithms to address data science challenges.
- Leverage big data to create innovative, deployable solutions.
- Introduce cutting-edge modeling techniques to enhance profitability through innovation.
- Ensure timely tracking of model performance and assist in automating processes to improve operational efficiencies, enabling swift decision-making in response to market changes.
- Ensure compliance with internal and external guidelines during model development and validation.
- Support the creation of training programs and standards.
- Collaborate with Risk and Decision Management teams to enhance data sourcing and utilization processes.
- Engage with senior management to facilitate understanding of risk model applications and inform critical business decisions.
- Provide mentorship and leadership to junior modelers.
- Assess risks associated with business decisions, prioritizing the firm’s reputation and safeguarding its assets by ensuring compliance with applicable laws and regulations.
Qualifications:
- Minimum of 7 years of relevant experience.
- Strong understanding of statistical modeling concepts and industry best practices, with experience in econometric and statistical modeling.
- Excellent quantitative and analytical skills, with the ability to identify patterns, trends, and insights.
- Proficiency in analytical tools (e.g., SAS, SQL, R, C Programming in UNIX) and the MS Office suite.
- Ability to deliver impactful presentations and influence executive audiences.
- Strong communication skills to engage and inspire team members.
- Capability to drive innovation through thought leadership while maintaining a comprehensive perspective.
- Effective management of cross-functional projects, resources, and stakeholders.
- Experience in big data environments and a commitment to staying updated on technological advancements.
Education:
- Bachelor's degree or equivalent experience; a Master's degree is preferred.
Job Family Group: Risk Management
Job Family: Risk Analytics, Modeling, and Validation
Time Type: Full time
Compensation: Competitive salary and benefits package, including medical, dental, and vision coverage, 401(k), life insurance, and wellness programs.
Equal Opportunity Employer: Citigroup Inc. is an equal opportunity and affirmative action employer, welcoming applications from all qualified individuals.
