Senior Risk Analyst - Decision Analytics

Job Locations US-MI-Detroit
Requisition ID
Employee Type
Full Time-Regular
Risk Management / Insurance


  • Manage the Credit Scoring Framework, and inventory of existing models. Constantly improve them by leveraging current and alternative sources of information.
  • Develop Statistical Credit scoring models (both internally developed and also through 3rd party vendor management) within GMF International Operations
  • Provide insight and recommendations for the creation of expert based models to score and support the launch of new products, including Retail, Leasing and SME.
  • Establish best practices for Scoring Development and Monitoring, ensuring adequate standards and anticipating actions that improve our business from an analytical standpoint.
  • Ensure all strategies are in line with Responsible Lending standards and GMF’s policy on Treating Customers Fairly.
  • Ensure ongoing adherence to all relevant compliance regulations that govern GMF IO business.
  • Developing segmentation strategies to optimize collection of overdue amounts on the portfolio. Recommend optimization to collection queues to improve operational efficiency.


  • Highly effective written and verbal communication with technical and non-technical audiences (including Senior Management). Ability to synthetize and communicate complex analytics in concise and straightforward ways.
  • Capacity to positively influence internal / external customers, developed negotiation skills.
  • Self-driven / self-motivated attitude on the job. High sense of responsibility, autonomy. The candidate is expected to achieve the objectives without direct supervision.
  • Experience and proficiency using SAS or equivalent data management-statistical tool (intermediate or advanced), intermediate MS-Excel skills. Functional use of MS suite products.
  • Experience in use of analytical tools for segmentation (CHAID and others).
  • Written and verbal fluency in English is a must - additional language proficiency is preferred.
  • Integrity, professionalism, focus on customer, focus on results and timely delivery, planning and organization, managing ambiguity and effective communication are key


  • 2+ years of experience in credit risk management activities for automotive finance or Banking institutions
  • Prior experience in development and implementation of credit risk models.
  • Knowledge of quantitative risk models and associated credit strategies
  • Analytical mindset, innovation and problem solving, business results oriented, high on ethics, integrity and leadership, project management experience
  • Experience in statistical software SAS as well as in Access, Excel, and VBA.
  • University degree in quantitative or finance related subjects (Engineering, Finance, Math, Statistics, Economics or related). (Master degree preferred)


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