Strategic Financial Solutions

Director of Credit Risk and Data Analytics

US-NY-New York
Category
Other
Job ID
2017-1064

Overview

Strategic Financial Solutions is a leading financial services company that provides comprehensive debt solutions for consumers. Through its personalized, tailored approach, proprietary credit card modification program and marketplace lending platform, Strategic Financial Solutions has success fully resolved more than $750 million in debt for over 100,000 clients. In 2015 and 2016 Strategic Financial Solutions was named by Crain’s New York Business to its Fast 50 Companies list and most recently was ranked 21st in the Best Companies to Work For in New York State program. The company was also recognized as an Inc. 500 company in 2016 as one of the fastest growing private companies in the United States. Strategic has grown by almost 400% since 2012 and recently moved into its state-of-the-art headquarters in Midtown Manhattan to accommodate its 500 member team. The company recently celebrated its 10th anniversary in June, 2017.

Strategic Financial Solutions is a rapidly growing, entrepreneurial, consumer financial services firm that seeks an experienced Director of Credit Risk and Data Analytics (Credit Risk Officer) to join the executive team in its lending division. This executive will become part of a smart, committed, action-oriented executive team who place high value on results and people. This position provides the executive with a challenging opportunity to execute and learn and above all, be rewarded for success.

Reporting to the SVP of Lending, the Director of Credit Risk and Data Analytics will be responsible for managing the risk modeling and policies of all loan products. As the senior leader of a key analytical function, the Director of Credit Risk and Data Analytics will be the thought leader on lending risk and provide essential input and advice to all areas of the business that generate balance sheet risk. The Director is expected to partner with key internal resources to execute on new initiatives to expand current capabilities and/or improve existing risk management processes. 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.

Our culture is a problem-solving culture and getting things done is key to success. The Director of Credit Risk and Data Analytics is a key ingredient to our month-to-month successes and at times this means getting into the details and sometimes performing tasks regardless of the level to ensure successful outcomes.

A key member of the Peerform management team, the Director of Credit Risk and Data Analytics is charged with the primary responsibility of managing the credit risk function of the company.  He/She will work closely with the SVP of Lending to ensure strong portfolio quality and to develop effective and appropriate lending policies. 

Responsibilities

The Director is responsible for driving positive value for customers, internal partners and external investors through best-in-class decision science.  He/She will perform modeling, data analysis, develop business insights, and communicate recommendations to the leadership team.  He/She will work on modeling initiatives that will ensure the overall profitability of lending programs/portfolios, and the loss rate is within the risk appetite guardrail.  Modeling efforts will include the development and maintenance of credit risk scoring model, and those used for the risk based pricing of lending products.  He/She is expected to develop, manage, and maintain credit risk policy used for underwriting of consumer loans; while ensuring compliance with all applicable banking and government rules and regulations.

 

Qualified candidates shall have extensive knowledge and practical experience in statistical modeling, and machine learning, and will be responsible for new model development, testing, implementation and performance tracking.  Technical skills aside, the person shall have high level of initiative, intellectual curiosity and scientific rigor, as well as good understanding of consumer lending business.

 

Qualifications

  • Masters/PhD in a quantitative field (Statistics, Mathematics, Operations Research, Computer Science and etc.) with work experience leveraging sophisticated analytical and machine learning techniques to drive business results.
  • 5-10+ years of credit risk/quantitative analysis experience
  • Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (Hive, SQL, or the equivalent).
  • Experience in consumer lending industry preferred.
  • Ability to perform duties while interacting collaboratively and productively with business partners across multiple functional areas.
  • Strong quantitative skills with a solid understanding of statistical modeling.
  • Demonstrated ability to formulate business problems into mathematical problems, leverage external thinking and tools (from academia and/or other industries) to develop an executable solution to deliver results.
  • Creativity to challenge the status quo and create better solutions to the problem, ability to work independently as data scientist, but in the meantime, collaborate with engineers on new build and model deployment.

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