Job Description

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

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