Lead Decision Engine Analyst

NinjaHoldings

$90K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative or business discipline
  • 4+ years as a Business Analyst or QA
  • 2+ years of data analysis experience using Python and SQL
  • Strong SQL knowledge with relational database experience
  • Excellent quantitative and problem-solving skills
  • Ability to manage multiple projects under tight deadlines

Responsibilities

  • Design and implement changes to customer acquisition and underwriting engines
  • Write and maintain unit and regression test cases
  • Monitor decision engine performance
  • Establish performance metrics and automate reporting using SQL and Python
  • Collaborate with cross-functional teams on strategy changes
  • Communicate business strategy recommendations to senior management

Benefits

  • Flexible, remote work options
  • Fun and fast-paced work environment
  • Dynamic start-up culture
  • Opportunity to make an immediate impact in a growing company
  • Convenient downtown Chicago office location
Full Job Description


Key Responsibilities:
  • Design, implement, and thoroughly test changes to the customer acquisition and underwriting decision engines to optimize origination volume and loan performance
  • Write and maintain a suite of unit and regression test cases to ensure the accuracy of changes to the customer acquisition and underwriting decision engines
  • Monitor performance of the decision engines
  • Establish decision performance metrics and develop automated reporting and alerting using SQL and Python
  • Collaborate with cross-functional teams to implement marketing or underwriting strategy changes, monitor releases, and perform impact analysis
  • Communicate concise and actionable business strategy recommendations to senior management

Ideal Candidate Will Have:
  • Bachelor's degree in a quantitative or business discipline (e.g., math, statistics, finance, economics, engineering, or other quantitative fields)
  • 4+ years of professional experience as a Business Analyst or QA
  • 2+ years of experience working with python and SQL for data analysis in a professional setting
  • Working SQL knowledge and experience working with relational databases, query authoring, as well as familiarity with a variety of databases
  • Strong quantitative and problem-solving skills with key attention to detail
  • Ability to work effectively while managing multiple projects with tight deadlines, understand the project requirements with minimal guidance, follow through to completion

Additional Pluses:
  • Experience working with specialty finance or FinTech
  • Advanced degree in quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)
  • Experience with BI reporting tools
  • Experience with and understanding of software testing methodologies

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

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