Quantitative Solutions Manager - Credit Risk

Forvis Mazars, LLP
parental leave, flex time, 401(k)
United States, New York, New York
Apr 04, 2025
General information Name Consulting - Enterprise Risk & Quantitative - Manager - Credit Risk Posting Title Quantitative Solutions Manager - Credit Risk Ref # 2234476 Date Published Wednesday, January 29, 2025 City New York State New York Country United States Job Category Other Consulting Services Office Enterprise Risk & Quantitative Consulting (Forvis) Advertised Location US-NC-Charlotte, US-NY-New York Working time Full Time Description & Requirements We are seeking an experienced Quantitative Solutions Manager with at least five years of experience in credit risk models (development, validation, and consulting) and credit risk consulting. This is a unique opportunity to join an experienced team dedicated to providing Unmatched Client Service to leading financial services institutions at time of immense growth. You will help drive our Quantitative Solutions practice forward and support our growing demand for credit modeling services. As a Manager, you will join a team dedicated to developing, validating, and / or optimizing credit risk models, and ensure regulatory compliance while providing value-added insights as a consultant. How you will contribute: Manage client relations, acting as a trusted advisor on the subject of credit risk modeling and management. Listen and understand client needs and help deliver tailored solutions Develop, apply, and validate commercial and retail credit risk methodologies including obligor and facility risk rating (e.g., PD, LGD, EAD) models, pricing models, etc. Create and execute design and application of commercial and retail credit risk reporting and analytics in a financial services organization Bring subject matter expertise on credit risk at an enterprise level, contributing to comprehensive credit-related engagements that extend beyond credit risk modeling Advise clients on regulatory requirements (e.g. CECL, IFRS 9, CCAR) and guide them in developing, implementing, and governing models that meet compliance standards Coordinate with Partner / Managing Director, Senior Manager, and staff on all phases of the client engagement including initial scoping, contract, information requests, timely and proactive client communications, staffing, oversight, project execution, quality assurance review, report, and deliverable preparation and client delivery meetings Delegate work and review work performed by staff in accordance with their experience and capabilities, ensuring quality and accuracy of deliverables. At times, performing technical work alongside staff to ensure Unmatched Client Service We are looking for people who are motivated and forward thinking, and demonstrate: Strong analytical and organizational skills with particular attention to detail Critical thinking and problem-solving skills that support delivering individualized solutions to clients Highly effective verbal and written communication skills with strong report writing capabilities A self-starter mentality with the ability to be agile and collaborative Ability to manage complex engagements A proven ability to manage, motivate, and develop a team of professionals Minimum Qualifications: Bachelor's or Master's degree in finance, economics, accounting, statistics, data analytics/science or other quantitative fields; Minimum 5-7 years of experience in credit risk modeling or financial risk management with at least 2-3 years in a leadership or managerial role; and Proficiency in credit risk modeling techniques and methodologies and advanced knowledge of programming languages such as Python, R, SAS, and/or SQL Knowledge of Allowance for Credit Losses, including methodology, models, and US GAAP requirements under Current Expected Credit Losses (CECL) and knowledge of IFRS 9 Knowledge of commercial and retail credit regulatory guidance covering CECL, credit risk review systems, underwriting/annual reviews A strong understanding of credit risk management, financial products, regulatory frameworks, and industry best practices Proficiency with standard analytical systems such as R, Python, Alteryx, SAS, Excel, etc. Preferred Qualifications: CFA, FRM or other relevant certifications #LI-CLTU, #LI-NYC #LI-CH1 New York City Pay Transparency Pursuant to the pay transparency laws of New York State and other local ordinances within the state including (but not limited to) New York City, the salary range displayed is for the New York markets. The salary for this role will be based on the experience, education, and skill set of the individual for the position. Total compensation and benefits consist of salary, group health plan benefits, 401(K), profit-sharing contributions, flexible time off, and parental leave. Forvis Mazars reserves the right to make changes to the salary range based on business needs. New York Salary Range: NY Minimum Salary (USD) $ 92,100 NY Maximum Salary (USD) $ 192,200