Founded in 2006 and headquartered in NYC, Strategic Funding Source has been recognized by customers and the industry as one of the most reliable and respected names in small business financing. With flexible financing options, we provide small businesses with the working capital they need to take advantage of opportunities and grow. We fund businesses in hundreds of industries and throughout multiple stages of growth. Using our first-hand knowledge of running small businesses, we are able to provide a personalized experience and financing solutions that are tailored to meet each customer’s unique situation.

We are looking for a passionate and hardworking professional to join and help grow our top notch Product Management team in our Arlington, VA location. The ideal candidate must be able to balance delivering exceptional performance in a fun, energetic and collaborative culture.



Essential Job Duties/Responsibilities:

  • Build predictive models including but not limited to credit risk, fraud, response, and offer acceptance propensity
  • Perform thorough testing and validation of models and support various aspects of the business with data analytics
  • Identify new data sources/patterns that add significant lift to predictive modeling capabilities
  • Research, design, implement and validate cutting-edge algorithms/models to analyze diverse sources of data to achieve targeted outcomes
  • Conduct analysis and turn insights into actionable changes for predictive models or policies
  • Recommend ongoing improvements/tuning to methods and algorithms currently in use/production
  • Deliver informative and effective findings, results and recommendations from statistical analysis to stakeholders, both technical and non-technical audiences
  • Effectively mentor non-statistical programming peers about statistical programming practices


  • MS in Statistics, Survey Research, Economics or other related quantitative field
  • 4 years of experience with Statistics/data modeling in an applied context
  • Proven track record of building new models and improving existing models
  • Strong attention to detail; excellent communication and project management skills
  • Thorough understanding of statistical modeling techniques
  • Proficiency in: Python and R
  • Exploratory data analysis and visualization
  • Experience with marketing mix modeling, digital attribution modeling, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, forecasting
  • A portfolio including papers, visualizations, or software

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