Senior Quantitative Analyst - MRM

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GENERAL FUNCTION:

Day to day focus is on resolution of complex problems or transactions, where expertise is required to interpret against policies, guidelines or processes. Role at this level usually has full ownership for one or more              processes, reports, procedures or products, and may also be considered analytical or procedural experts representing a unit or team on cross-function process or project deliverables.

ESSENTIAL DUTIES AND RESPONSIBILITES:

• This person will provide quantitative support throughout the Risk and Finance divisions. This will include the implementation, modeling, and validation of quantitative models including PD, LGD, ALM, CCAR, QRM, MRM and Economic Capital.
• Provide ongoing support to the development and implementation of quantitative and statistical models.
• Developing, maintaining, and back testing models to support respective LOBs. Also will have responsibility for ad-hoc reporting requests for quantitative modeling.
• Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined.
• Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience.
• While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.

SUPERVISORY RESPONSIBILITIES:

May supervise day to day work of junior level employees, but will not typically have formal management role.

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

• Minimum of 4-5 years work experience.
• Advanced degree in quantitative analytics, economics, statistics, engineering, or a related area.
• Experience in statistical/econometric modeling and database management.
• Python, SAS (including statistical modeling), SQL, VBA, and Business Objects.
• Strong verbal and written communication skills.
• Strong analytical skills.
• Ability to present a professional image.
• Ability to work in a team environment.
• Ability to multi-task and to be flexible.
• Experience with Microsoft office products, such as Word, Excel, PowerPoint and Outlook is necessary. Experience with Python, SAS, R and VBA is preferred.
• Prior management experience and evidence of leadership is a plus.

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