As a Vice President of Risk Data & Infrastructure within the Risk Strategy and Execution team, you will be at the forefront of pioneering innovative solutions and developing new analytical methods. Your role will involve shaping financial risk strategies and nurturing relationships across various teams. Utilizing data and reporting, you will analyze and present insights to support business and key partners in financial risk strategy, with the goal of minimizing business exposure to unexpected losses from market volatility. Additionally, you will develop and support relationships across the business’s data analytics, technology, and management teams to leverage our firm's data ecosystem.
Job Responsibilities
- Lead data and technology initiatives harnessing experience and adaptability to effectively navigate a large, complex organization in pursuit of innovative solutions
- Leverage the firm’s core data mart to identify relevant data sources for the development of Exposure metrics and Analytics, ensuring completeness, data source of truth and consistency with our data analytics partners
- Prepare datasets to build world-class visualizations and dashboards using business intelligence tools such as Tableau, Snowflake, Alteryx, Python
- Analyze datasets, build data workflows, and construct SQL queries to obtain required data
- Meet with stakeholders to collect requirements, review work, deliver dashboards and conduct training on use of dashboards
- Ongoing support of production dashboard applications through enterprise-approved processes and controls
- Support the design, analysis and production of risk metrics, Key Performance Indicators (KPIs), and/or Key Risk Indicators (KRIs) to analyze impact of events to market and credit risk exposures on the business
- Present analyses and recommendations to senior stakeholders, including Chief Risk Officers, Wealth Management executives, and other decision-making forums
- Participate in software, tools training and ongoing professional development
- Engage in cross-functional outreach and collaboration with Data, Technology and Operations teams
Required qualifications, capabilities, and skills
- Bachelor's degree in a quantitative or related field
- 6+ years in an analytical, data science, technical, trading, or research-oriented role
- Professional knowledge of Tableau, SQL, Python, Microsoft Office Suite and associated data analytics and Business Intelligence (BI) tools in a professional environment
- Experience building end-to-end data capabilities – from data identification to query construction, and delivery of insights
- Excellent communication and interpersonal skills; Proved mastery communicating business insights to a diverse audience
- Good team player, keen sense of ownership and ability to work independently
Preferred qualifications, capabilities, and skills
- Experience in self-directed trading/brokerage industry preferred
- Broad financial product knowledge
- Practical knowledge of Bloomberg and/or FactSet Workstation
- Professional experience in credit risk management and market risk management preferred
- Academic background in, or professional experience with, financial mathematics, quantitative risk methodologies, and/or data science