Manager - Enterprise Risk & Quantitative Solutions
3 months ago
As part of our growing Quantitative Solutions team, you will work with our clients, including some of the most iconic financial services companies globally, as they reshape Enterprise Risk and Quantitative services for the future.
We are seeking an experienced Quantitative Solutions Manager, who will manage model risk management projects, such as independent model validations, model audits, model reviews, model development projects, and various other model risk management consulting projects.
How you will contribute:
Managing model validations by assessing the conceptual soundness and applicability of the mathematical/statistical theories, evaluating data inputs and assumptions, and testing model computational accuracy and performing outcomes analysis (such as back-testing and benchmarking) Managing various model risk consulting projects, where you will contribute regulatory, compliance, and industry subject matter expertise Managing model audits and model reviews, to assist the 3rd and 2nd lines of defense, respectively Analytical models requiring effective challenge through validation, audit, or review may include BSA/AML, CECL, ALM, stress testing, scorecard, compliance/regulatory, pricing/valuation, regression, and economic capital models. Managing, coaching, and reviewing the work performed by other consultants Managing engagements from initial scoping to completion Being the primary communicator of the engagement team Supporting business development activities, including pursuits and proposals, and building relationships with clients
We are looking for people who have Forward Vision and:
Ability to prioritize multiple tasks simultaneously Ability to write and communicate complex observations into reports and present the results to clients Ability to present results and serve as client facing leaders with strong and effective communication skills Strong analytical and organizational skills with particular attention to detail
Minimum Qualifications:
Bachelor's degree in finance, economics, accounting, statistics, or other quantitative fields 5 years or more of experience with data analysis, quantitative analysis, and model risks management, model validation, and other model governance activities with financial services institutions Ability to read programming in languages such as R, or Python and database management such as SQL
Preferred Qualifications:
Advanced degree Ability to review, validate, audit and / or develop models related to one or more of the following strongly preferred: market, credit, operational, liquidity risk capital, ERM, insurance models, stress testing Experience with CECL, ALM, BSA/AML, and/or regulatory compliance models Experience with insurance models Knowledge of internal controls Prior experience at a consulting and/or professional services firm CFA, FRM, or similar risk management related credential
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With a legacy spanning more than 100 years, Forvis Mazars is committed to providing a different perspective and an unmatched client experience that feels right, personal and natural. We respect and reflect the range of perspectives, knowledge and local understanding of our people and clients. We take the time to listen to deliver consistent audit and assurance, tax, advisory and consulting services worldwide.
We nurture a deep understanding of our clients’ industries, delivering greater insight, deeper specialization and tailored solutions through people who listen to understand, are responsive and consult with purpose to deliver value.
About Forvis Mazars, LLP
Forvis Mazars, LLP is an independent member of Forvis Mazars Global, a leading global professional services network. Ranked among the largest public accounting firms in the United States, the firm’s 7,000 dedicated team members provide an Unmatched Client Experience through the delivery of assurance, tax, and consulting services for clients in all 50 states and internationally through the global network. Visit forvismazars.us to learn more.
Forvis Mazars, LLP is an equal opportunity/affirmative action employer. Employment selection and related decisions are made without regard to age, race, color, sex, sexual orientation, national origin, religion, genetic information, disability, protected veteran status, gender identity, or other protected classifications.
It is Forvis Mazars, LLP standard policy not to accept unsolicited referrals or resumes from any source other than directly from candidates.
Forvis Mazars, LLP expressly reserves the right not to consider unsolicited referrals and/or resumes from vendors including and without limitation, search firms, staffing agencies, fee-based referral services, and recruiting agencies.
Forvis Mazars, LLP further reserves the right not to pay a fee to a recruiter or agency unless such recruiter or agency has a signed vendor agreement with Forvis Mazars, LLP.Any resume or CV submitted to any employee of Forvis Mazars, LLP without having a Forvis Mazars, LLP vendor agreement in place will be considered the property of Forvis Mazars, LLP.
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