Key Notes: The platform and it various lending products provide various types of consumer loans and fall within a higher-risk credit score. As such we are looking for a candidate with related experience. H1B Visa Transfers are OK.
Reporting to: SVP of Lending Products and Development
Client Description: For more than a decade, our client has provided "Best in Class" debt solutions for consumers. Often it is to help restructure or get middle and low income families get back on their feet and out of an endless cycle of debt. They have helped over 95,000 customers restructure nearly $1 billion in credit/debt. Having grown to over 450 employees and experience 300% growth, they've won awards such as Crain's Fast 50, Inc. 500, and "Best Places to Work - New York City".
Our client is hiring an experienced Director of Credit Risk and Data Analytics (Credit Risk Officer) to join the executive team in its lending division.
You will manage the risk modeling and policies of all loan products. As such you will be the "go-to" primary leader on lending/credit risk and impact all areas of the business that generate balance sheet risk. The Director will work closely with corporate finance and analytics functions to collaborate on broader strategic initiatives regarding capital markets, customer acquisition, product development and business intelligence.
Driving positive value for customers, internal partners and external investors through best-in-class decision science. Develop and improve models, credit risk scoring, pricing of lending products, data analysis, develop business insights, and communicate recommendations to the leadership team. Work on modeling initiatives that will ensure the overall profitability of lending programs/portfolios, and the loss rate is within the risk appetite range.
You will have extensive knowledge and practical experience in statistical modeling for consumer credit risk, machine learning, and will be responsible for new model development, testing, implementation and performance tracking.
- Masters/PhD in a qantitative field (Statistics, Mathematics, Operations Research, Computer Science and etc.) with work experience leveraging sophisticated analytical and machine learning techniques to drive business results.
- 5+ years of consumer credit risk/quantitative analysis experience
- Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (Hive, SQL, or the equivalent).
Compensation & Benefits:
~$190,000 to $200,000 "All-in" | Excellent Benefits | Visa Sponsorship for top candidates is available.
TO APPLY/BE CONSIDERED: Simply email me, Charlie Lenz -> Charl[email protected] – your resume or LinkedIn Profile URL if you don’t have one. All inquiries will be confidential of course. This position will be filled in an expedient manner.