Senior Quant Analyst - CCAR

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GENERAL FUNCTION:

The general function for this position is general risk model development, risk monitoring and documentation. Primary focus will be on the development, selection and implementation of quantitative models related to credit risk to support various lending portfolio products, including wholesale and retail products.

Qualified candidates should have a proven modeling and quantitative background, excellent communication skills, an in-depth understanding of scoring procedures and related regulatory requirements. The candidate must be able to multi-task effectively and above all be results oriented. The desirable candidate is able to think out of box and have the ability to work effectively in a collaborative work environment.Individual at this level is expected to use some independence of thought but to refer more complex problems to supervisors or other experts. May also be accountable for regular reporting or process administration as a model owner.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• This person will provide quantitative support throughout the Risk divisions. This will include the development, implementation, and monitoring of quantitative models including those used for expected credit loss estimation, and related components such as PD, LGD, EAD, prepayment, etc.
• Provide ongoing support for the development, implementation and validation of quantitative and statistical models and tools as well as back testing models to support respective LOBs.
• Will also have responsibility for ad-hoc reporting requests for quantitative modeling Stress Testing ,and the CECL Allowance for Credit Losses estimation.

MINIMUM KNOWLEDGE SKILLS, AND ABILITIES REQUIRED:

• Advanced degree in quantitative analytics, economics, finance, statistics, mathematics, engineering, or a related area (PhD preferred).
• Minimum 4+ years' experience instatistical/econometricmodeling with focus on Consumer credit risk.
• Experience with programming languages commonly used for quantitative modeling, such as SAS, R, Python or Matlab is required.
• Database experience using SQL-based databases is required. Cloud-based or data-warehouse-as-a-service experience preferred.
• Some experience with machine-learning and artificial intelligence approaches is preferred.
• Strong analytical, verbal and written communication skills.
• Ability to present a professional image.
• Ability to work in a team environment, to multi-task and be flexible.
• Experience with Microsoft office products, such as Word, Excel, PowerPoint and Outlook is necessary.
• A working understanding of CCAR, CECL and Basel III frameworks is a plus
• Experience in a cross-functional environment working with portfolio management concepts and constructing and explaining risk models is a plus.

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Senior Quantitative Analyst, CCAR/CECL-Remote

At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.

The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.

Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being.You can learn more about those programs on our 53.com Careers page at: https://www.53.com/content/fifth-third/en/careers/benefits.html or by consulting with your talent acquisition partner.

Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.