SVP ALLL & Loss Forecasting

15+ years experience  •  Automotive.

Salary depends on experience
Posted on 02/21/18
15+ years experience
Automotive.
Salary depends on experience
Posted on 02/21/18

Essential Functions:

  • Ensures documentation and creation of loss forecasting models for ALLL and Pricing meet business requirements with proper controls and go through governance
  • Ensures loss forecasting models and process are best in class
  • Must have demonstrated ability to create summary and detailed monthly and quarterly ALLL Provisions with proper SOX controls and provide back testing for models used in ALLL Provisioning with clear documentation for qualitative assumptions that is supported by quantitative analytics.
  • Demonstrated Expertise in Vintage Loss Models, Markov Models, Loss Severity Models, CCAR Models for PD, LGD, EAD; TDR Cash flow Models, TDR Impairment, Model Segmentation, incorporation of qualitative factors including economic factors, Validation of Models experience coupled with ability to create Board Level ALLL and Loss Forecasting Presentations.
  • Must have knowledge of modeling and will need to approve all new loss forecasting and provisioning models
  • The ALLL and Loss Forecasting Leader will serve as a key voting member of the ALLL Committee and is required to be abreast of all facets of provisioning and will work closely with Finance and Accounting Leadership
  • Sets direction for future loss forecasting enhancements as this leader owns the Credit Loss number for pricing and profitability
  • Maintains continuity among the core mathematical modeling functions of loss forecasting along with the control and monitoring of provisioning process
  • Oversees the development of forecasting models/tools related to risk evaluation
  • Conducts continuous research of current risk frameworks/methodologies and industry developments and active application of the findings in risk modeling and analysis
  • Leads projects aimed at designing, developing and implementing methodologies to measure Credit Risk
  • Understands and applies proper risk framework to the analysis and modeling
  • Involved in risk based portfolio decisions
  • Knowledge of Deferment Scores, Behavior Scoring and Adaptive Control Strategies and design of loan modifications preferred
  • Monitors and reports relationships in risk trends in current portfolios, securitization pools and warehouses as it relates to ALLL and Loss Forecasting
  • Ability to present findings in a cohesive, clear and actionable format to upper management
  • Provides guidance, training and ensures growth of the loss forecasting group associates
  • Provides internal and external customers with analytical tools for risk evaluation, strategy optimization, data mining, etc.
  • Supervises and controls proper documentation necessary to ensure compliance

Other Functions:

  • As a member of management team ensures smooth and quick resolution of issues impeding workflow, analysis, modeling, data, human capital development etc.
  • Develops working relationships with involved parties internally and externally
  • Leads projects or special assignments as necessary
  • Works closely with other groups within Risk Management, as well as Servicing, Finance, Accounting and others as required
  • Provides data mining tools to other groups as required

Requirements:

  • Bachelor’s degree required in a quantitative field; Master’s degree/Ph. D preferred
  • Minimum of fifteen (15) years of financial analysis work experience; experience in data mining, statistics, forecasting and loan portfolio analysis
  • Minimum ten (10) years management experience, preferably in managing multi-functional teams/departments and must have Loss Forecasting/ALLL experience in a publically traded financial institution
  • Auto industry experience preferred
  • Quantitative and analytical skills required
  • Experience in consumer credit risk framework required
  • Experience in provisioning methodologies required
  • Knowledge and ability to create complex forecasting models/ tools required
  • Proficient with PC software applications such as SQL, SAS, Excel, Word, PowerPoint, Access
  • Understanding financial consequences of risk decisions and accounting principles as they relate to consumer risk
  • Knowledge of finance, statistics, accounting, econometrics
  • Superior written and verbal presentations skills and ability to communicate well with senior management
  • Flexible, proactive and very professional working style
  • Ability to work with minimal supervision
  • Ability to maintain confidentiality
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