AVP, Credit Analytics

Lendmark Financial Services

3d•Onsite

About The Position

At Lendmark Financial Services, we believe the success of our company is specifically attributable to the quality of our employees and their commitment to our customers. We value each customer and understand that people want to do business with people who care. That’s one way we differ from our competitors. We are proud of what we as a team have accomplished. We will always strive for improvement, our motto since day one has been “Success is the only option.” Lendmark Financial Services offers a comprehensive benefits package for employees and dependents that includes medical, dental, vision benefits, paid time off, paid holidays, 401(k), life insurance, long-term disability, tuition assistance and an employee assistance program. We also offer optional benefits such as critical care, auto, home and pet insurance as well as other ancillary insurance options. NOTE: This is not a Virtual position. This position will be based in our Lawrenceville GA Corporate office. SUMMARY: The Credit Risk Group is responsible for helping Lendmark define and measure its credit risk appetite and ensure appropriate policies and strategies. We leverage advanced analytics to problem solve the Business’s analytical needs as it relates to loan underwriting and servicing the portfolio to ensure that the Company stays within the parameters of that risk appetite in order to deliver consistent credit loss performance and profitability. The Risk group supports the business in determining consistent and accurate credit risk measurements primarily by tracking key risk indicators for the portfolio, maintaining a robust risk data warehouse and developing scorecards and tools to ensure risk appetite and profitability are effectively managed. The contribution of this position is to support leadership of Credit Risk Group delivering on credit risk related projects and to work closely with the appropriate business partners within Lendmark to bring efficiencies within Business Process.

Requirements

Bachelor’s degree in a quantitative discipline, such as statistics, math, or economics
5+ years of experience in credit risk analytics and/or experience in an analytically based role
Advanced proficiency in SQL and Excel, knowledge and proficiency in at least one statistical language (e.g. SAS, R, Python)
Ability to problem solve, develop, and implement processes / models
Experience in working with complex data sets, including time-series data
Ability to work independently as well as collaboratively
Detail-oriented and capable of working effectively under tight timeframes and fixed resources (multi-tasking, meeting deadlines)

Nice To Haves

5+ years of experience in credit risk analytics and/or experience in an analytically based role within the consumer finance, banking, or fintech space
Knowledge and experience with AI/ML a plus

Responsibilities

Ad hoc analysis in support of business initiatives, as well as Board of Directors, investors, and rating agency presentations
Partner with key business groups including Operations, IT, Finance, and Audit to formulate initiatives to monitor and/or improve key business activity, funding activity and answer ad hoc questions
Maintain a strong knowledge of internal data fields, table structures and systems of record used by Operations
Analyze portfolio performance to identify risk trends, customer behavior, a key risk indicators
Create and maintain regular reporting and dashboards
Develop detailed understanding of business systems, reporting tools, and programming languages.
Develop deep cross-functional background knowledge in order to provide back up support to other areas of Risk Management when needed
Prepare and present proposals supporting change to the senior risk management members
Develop, implement, track, and continuously improve loss forecasting models
Utilize static pool vintage tracking and segmentation methods in routine risk appetite monitoring as well as evaluating policy and strategy effectiveness
Support ad hoc analysis designed to optimize and measure the effectiveness of various initiatives from marketing strategy to collection and servicing strategy
Provide ad hoc scenario, sensitivity analyses, “what-if” analyses, and other analysis as required
Develop credit risk reports for analysis and production of credit modeling data sets
Participate in testing, validating, documenting, and implementing model updates.
Work with IT team to integrate solutions and automate where possible
Partner with the Finance team to develop profit models and analysis as well as pricing optimization strategies integrated with credit risk analysis results
Perform additional management duties as assigned in direct areas of responsibility along with expansion of those duties resulting from company growth plans