Data Scientist – Risk & Analytics

Full Time
United States
Posted 2 months ago

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people overlooked by traditional financial institutions to take control of their finances via a full suite of digital banking and lending products, providing incentives and rewards along the way as we guide them on a path to financial improvement. Through our NinjaEdge brand, we help companies better understand their customers by offering a package of bespoke underwriting, fraud detection, and analytics services. With offices in Chicago, Miami, and around the world through the power of remote work, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance. 

Key Responsibilities:

  • Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniques
  • Use advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities¬†
  • Support the implementation of models by working closely with the software engineering team and performing post release checks and analysis
  • Assist with development of technical tools and platforms to standardize and streamline model development and monitoring processes
  • Establish key performance metrics and develop automated reporting dashboards using SQL and Python
  • Design A/B testing for models and underwriting strategies, evaluate impact, and provide recommendations
  • Work with cross-functional teams to explore new ways of finding insights from data and provide recommendations
  • Communicate concise and actionable business strategies to senior management

Requirements:

  • Bachelor’s degree required
  • 2+ years of experience with data analytics and statistical modeling
  • Experience with relational databases and SQL
  • Programming experience with Python
  • Strong quantitative and problem-solving skills with key attention to detail
  • Experience supporting and working with cross-functional teams in a dynamic environment

Additional Pluses, but Not Requirements:

  • Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)
  • Experience working with specialty finance or FinTech¬†

Benefits:

  • Competitive salary and benefits package
  • Flexible, remote work
  • Fun, fast-paced work environment
  • Dynamic start-up culture
  • Ability to make an immediate impact in a growth stage company
  • Convenient downtown Chicago office located in the heart of the city
  • Equal opportunity employer

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