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Posted: Wednesday, January 31, 2018 7:06 PM

Job Description:/h3:

Vice President, Model Risk Management, Salt Lake City, UT. Relocation is Available for this position.
The Company is headquartered in Salt Lake City, Utah and is an FDIC insured, Utah state chartered bank. The Company is a leading national provider of online consumer and small business loans made in partnership with finance companies, OEMs, retailers and financial technology companies.

Job Summary : The VP : Model Risk Management position will report to the Chief Credit Officer for the Bank and will support all Credit related initiatives undertaken.

Primary Responsibilities
:Develop and implement statistical and machine learning based quantitative models used in underwriting strategies, loss forecasting and capital calculations
:Analyze existing strategic partner programs from credit risk standpoint and drive asset management strategies
:Drive new partner deals risk evaluation of programs
:Develop and drive analysis of portfolio health through modeling as well as valuation techniques to drive best investment decisions
:Develop alternative model approaches to assess model design and advance future capabilities
:Review and assess model validation plans and processes
:Assess the risk model methodologies, outputs, and processes and work with various Industry leading Fintech lending partner and retail partners associated with the bank
:Understand relevant business processes and portfolios associated with model use
:Understand technical issues in econometric and statistical modeling and apply these skills toward assessing model risks and opportunities
:Plan and manage validation projects, manage model inventories and model governance process
:Communicate clearly and concisely both verbally and through written communication via model validation reports and presentations
:Present methodologies and Validation process and techniques to Regulators
Required Skills and Experience
:Masters degree in Statistics, Economics, Mathematics, Industrial Engineering, Operations Research, Financial Engineering, Physics, Engineering or Computer Science
:At least five years experience in quantitative analysis with statistics or data mining
:Extensive prior experience in consumer lending based modeling
:Able to both develop analysts and work in matrix organization
:Proficiency with statistical and data software languages and packages including SAS, R , Knowledge Seeker and E Miner
:Familiarity with machine learning techniques such as GBM, Random Forest and ensembles of multiple nested regression techniques
:Strong verbal and written communication skills.

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• Location: salt lake, Salt Lake City

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