Risk Modeler II
Location: Las Vegas NV
Duration: Ongoing/Long term Contract
Summary Of Essential Job Functions
- Performs modeling and complex analyses to maximize profits and asset returns while minimizing credit losses and other risk exposures.
- Engages with model users and stakeholders to deliver incremental value and bespoke solutions.
- Conducts live testing of strategies models and data attributes to evaluate benefits and propose changes to credit policy.
- Manages the model lifecycle end-to-end from development through implementation monitoring and retirement.
- Monitors analyzes and publishes model performance reports to ensure stability and efficacy.
- Guides and reviews the technical implementation of models and strategies for live testing.
- Monitors analyzes and proposes changes to risk strategies and risk management processes.
- Partners with strategy owners technology groups and leaders to define and deliver on business requirements.
- Leverages knowledge of economic and industry trends to anticipates risks to profitability and proposes direction and solutions.
- Researches quantifies and communicates the impacts of business decisions.
- Acts as a consultant to business partners to provide peer review and technical guidance.
- Serves as an expert consultant to senior leadership on complex quantitative initiatives.
- Provides analytic support to drive progress toward company goals
- Performs other duties as assigned.
Position Requirements
- Advanced degree in a quantitative field such as statistics economics mathematics or finance or a 4yr. degree in such a field with 2 years of experience in financial services or modeling
- Excellent statistical and quantitative skills
- Excellent analytic and conceptual problem-solving skills
- Excellent written verbal and visual communication skills
- Advanced capability with at least one of the following: Python R SAS SQL
- Well-developed organizational and prioritization skills
- Flexibility and adaptability to contribute to a driven team environment.
- Professional proficiency with standard technology
Preferred
- Advanced degree with 4 years of experience in a quantitative field
- 4 years consumer credit risk management experience
- Familiarity reviewing and assessing company financial statements
- Broad experience with predictive techniques from a variety of approaches including machine learning parametric unsupervised or time-series modeling
- Firsthand experience building at least one of the following: Risk or revenue models for consumer credit acquisitions or portfolio management strategies; Vintage-based return or loss forecasts for consumer credit products or company prospectus; Targeting models for customer acquisition campaigns; Offer-optimization algorithms for consumer credit strategies; VaR or provision for loss models; Structural macroeconometric forecasts