Senior Quantitative Analyst, CECL-Remote

MedStar Health; United States; Remote; USD 80,000 - 170,000; Full time

Job summary

A leading banking institution seeks a Senior Quantitative Analyst to develop and implement credit risk models. The ideal candidate will have strong quantitative skills, proficiency in programming, and the ability to collaborate within a fast-paced environment. This remote role offers a competitive salary and the opportunity to contribute to innovative risk assessment methodologies.

Qualifications

• PhD preferred for advanced quant skill set.
• 4+ years of experience in consumer credit risk modeling.
• Proficiency in programming and analytical tools required.

Responsibilities

• Develop, implement, and monitor risk models for credit loss estimation.
• Support model validation and back-testing across business lines.
• Handle reporting requests related to quantitative modeling.

Skills

Statistical modeling

Programming in SAS

Programming in R

Programming in Python

Programming in Matlab

SQL

Machine learning

AI approaches

Analytical skills

Communication skills

Education

Advanced degree in quantitative analytics, economics, finance, statistics, mathematics, or related field

Tools

Microsoft Office Suite

Job description

Make banking a Fifth Third better

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GENERAL FUNCTION:

The primary focus of this position is on general risk model development, risk monitoring, and documentation. The role involves developing, selecting, and implementing quantitative models related to credit risk to support various lending portfolio products, including wholesale and retail.

Qualified candidates should have a strong modeling and quantitative background, excellent communication skills, and an in-depth understanding of scoring procedures and regulatory requirements. The ability to multi-task effectively and be results-oriented is essential. The ideal candidate is innovative, collaborative, and capable of working independently on less complex issues while consulting supervisors or experts on more complex problems. The role may also include regular reporting or process administration as a model owner.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Provide quantitative support across Risk divisions, including development, implementation, and monitoring of models for expected credit loss estimation, PD, LGD, EAD, prepayment, etc.
• Support the development, validation, and back-testing of quantitative and statistical models and tools for respective Lines of Business (LOBs).
• Handle ad-hoc reporting requests related to quantitative modeling and CECL Allowance for Credit Losses estimation.

MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

• Advanced degree in quantitative analytics, economics, finance, statistics, mathematics, engineering, or related field (PhD preferred).
• At least 4 years of experience in statistical/econometric modeling focused on Consumer credit risk.
• Proficiency in programming languages such as SAS, R, Python, or Matlab.
• Experience with SQL-based databases; cloud or data-warehouse experience is a plus.
• Knowledge of machine learning and AI approaches is preferred.
• Strong analytical, verbal, and written communication skills.
• Professional presentation skills.
• Ability to work collaboratively, multi-task, and adapt to changing priorities.
• Proficiency with Microsoft Office Suite.
• Understanding of CECL and Basel II frameworks is advantageous.
• Experience working cross-functionally with portfolio management and risk modeling is a plus.

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Position: Senior Quantitative Analyst, CECL (Remote, Ohio)

Salary Range: $80,500 - $169,100 USD annually

Fifth Third Bank is committed to an inclusive culture and equal employment opportunity for all applicants and employees, regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status, or any other protected status.