First Help Financial

Associate, Risk Data Science

First Help Financial

full-time

Posted on:

Origin:  • 🇺🇸 United States • Massachusetts

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Salary

💰 $58,987 per year

Job Level

JuniorMid-Level

Tech Stack

PythonSQLVBA

About the role

  • Design and develop analytical infrastructure to monitor portfolio performance including KPI dashboards, reports and other tools.
  • Derive analytical insights from portfolio data and evaluate risk profile trends.
  • Conduct analysis on impact on portfolio due to changes in the macroeconomic factors and make business recommendations
  • Develop metrics to monitor and improve collector effectiveness along several key Servicing dimensions
  • Formulate actionable tasks to lower delinquency rates, losses and roll-rates
  • Champion operational process improvements to leverage technology & analytical tools as appropriate. Standardize & automate reports generation.
  • Partner with Servicing Operations team to leverage analytics to develop superior operational processes
  • Partner with Technology team for evaluation and roll out of cutting-edge innovation in financial technology.
  • Coordinate with Risk team to refine existing underwriting models and build newer risk models
  • Support C-level executives with ad hoc analyses to address specific business problems.

Requirements

  • Bachelor’s degree in Finance, Statistics, Mathematics, Engineering or similar is preferred
  • A minimum of 12+ months of experience at First Help Financial
  • Advanced expertise in Microsoft Excel and Microsoft PowerPoint
  • Strong written communication skills, with an ability to create clear and concise communication
  • Strong oral communication skills, with experience in presenting to mid-senior management
  • Basic exposure to translating a business problem into a structured analysis. Experience in analyzing large and complex data sets
  • Experience in business analytics and data-based decision making
  • Experience with SQL or relational databases preferred (Candidate will be trained on harnessing big data using SQL queries for analytics)
  • Exposure to modern form of programming (Python, SAS, R, VBA for Excel, etc.)