Modeling Analytics - Associate
Modeling Analytics - Associate
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Job Description
Job Description:
The Loss Forecasting team is part of the broader Consumer Credit Risk Management team provides reasonable forecasts of delinquencies charge off and recovery of charged off assets throughout the year for Regulatory (CCAR and Risk Appetite) capacity planning and yearend budget in partnership with P&A collections recovery teams by means of various macroeconomic scenarios. The team is also responsible for monitoring the health of the portfolio and updating stakeholders and senior management on emerging trends.
As aprofessional within the Consumer Credit Forecasting team you will be responsible for executing credit loss forecasting models diagnosing model accuracy and leading analyses to assess relationships and patterns promoting loss performance of our product portfolio. You willget tospearhead control frameworkwithin our function.Youwill be responsible for execution of the processes through analytical insightspredictive analysis andnewer technology applications. You may also be involved in process reengineering efforts to identify streamline and automate redundant activities. Above all this role provides an exciting opportunity to develop your skills in a fastpaced environment.
Job responsibilities
- Execute credit loss forecasting models to forecast credit losses and allowance for our productportfolio supporting regulatory exercises like CCAR CECL Firmwide Risk Appetite and Budget
- Determine the loss forecasting results and levers.Youwill be required to present tosenior management and other internalstakeholders.
- DiagnosetheModel parameters and liaison with modelling team to propose changes to model for accuracy at granular segments.
- Participate in crossfunctional communications with Risk Management Finance Marketing and Collections to inform the forecast on current learnings and incorporate strategic initiatives.
- Conduct macro sensitivity analytics loss and allowance attribution deep dives and storyboarding.
- Lead advanced analyses to assess relationships and patterns driving loss performance.
- Maintain the integrity of key control evidence by securely documenting and copying control artefacts to the designated controls path.
- Coordinate with stakeholders to ensure timely validation and communication of results.
Required qualifications capabilities and skills.
- A bachelors or masters Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training
- Minimum 3 yrs. of Credit Risk Management product / revenue analytics and/or consulting experience
- Strong knowledge of Python/SQL/Tableau/SAS/Alteryx/ Cloud application architecture
- Proficiency in Microsoft Office suite of products (Advanced Excel VBA and PowerPoint)
- Strong analytical and problemsolving skills with the ability to interpret large amounts of data and its impact ineither operational or financial areas.
- Wellorganized and structured with strong communication and presentation skills.
Additionalqualifications capabilities and skills that are desirable but not necessary.
- Knowledge of regulatory modeling (IFRS9/CECL/CCAR)
- Credit risk experience in one or more US consumer credit portfolios (i.e. U.S. Mortgage Credit Card Automotive Business Banking Wealth Management Private Banking)
Required Experience:
IC
Employment Type
Full-Time
