[Hiring] Senior Quant Analyst @Fifth Third Bank

Role Description

The Senior Quantitative Analyst is responsible for 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.

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.

Essential Duties and Responsibilities:

• Provide quantitative support throughout the Risk or Finance divisions.
• 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.
• Responsibility for ad-hoc reporting requests for quantitative modeling.
• Incorporate Comerica and Fifth Third data and processes through integration period.

Qualifications

• Knowledge of Comerica data and processes preferred.
• Advanced degree in quantitative analytics, economics, statistics, engineering, or a related area.
• Minimum 4-5 years of experience in statistical/econometric modeling and database management.
• Database experience, Snowflake, SAS (including statistical modeling), and SQL.
• Experience with Microsoft office products, such as Word, Excel, PowerPoint and Outlook is necessary.
• Experience with Python, R, SAS (including statistical modeling), SQL, Git, Amazon SageMaker, Snowflake and VBA is preferred.
• 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.
• Prior management experience and evidence of leadership is a plus.

Requirements

• Advanced degree in quantitative analytics, economics, statistics, engineering, or a related area.
• Minimum 4-5 years of experience in statistical/econometric modeling and database management.
• Database experience, Snowflake, SAS (including statistical modeling), and SQL.
• Experience with Microsoft office products, such as Word, Excel, PowerPoint and Outlook is necessary.
• Experience with Python, R, SAS (including statistical modeling), SQL, Git, Amazon SageMaker, Snowflake and VBA is preferred.

Benefits

• Comprehensive benefits programs designed to support the individual needs of employees and their families.
• Programs encompass physical, financial, emotional and social well-being.
• Eligible to participate in an incentive compensation plan based on company, line of business and/or individual performance.