CreditNinja is a FinTech company founded in 2017 by veteran serial entrepreneurs who were part of the core team behind Enova (NYSE:ENVA), a leading publicly traded consumer financial services company. CreditNinja's mission is to provide hard working Americans with financial solutions when unexpected expenses arise. Unlike traditional banks, CreditNinja works hard to ensure that people with less-than-perfect credit can have quick access to the money they need. Headquartered in downtown Chicago, we are a lean and innovative team seeking like-minded talent to help us disrupt the consumer finance industry.


CreditNinja is looking for a Data Scientist to join our Product Analytics team and work closely with our existing team of marketing and advanced analytics experts. The hire will be responsible for testing, optimizing and implementing new analytics strategies for the leads system to drive profitable growth. The ideal candidate is a self-directed individual with strong technical skills who can leverage large datasets to solve complex problems. This is an exciting and rare opportunity to join a well-capitalized startup on the ground floor and help drive our success.



     Understand the leads system, identify potential problems or business opportunities, make data-driven recommendations on bidding strategies, and drive informed actions.

     Perform advanced data analytics to identify data relationships such as trends, patterns and correlations in order to solve business questions and identify growth opportunities.

     Collaborate with the modeling team to develop machine learning models to improve customer conversion and funnel.

     Communicate concise and actionable business strategies for senior management.

     Collaborate with engineering/product teams to implement bid optimization strategies, and perform post release checks and impact analysis.

     Design, run and evaluate AB test experiments for the leads system.

     Monitor key funnel metrics, understand the root causes of changes

     Build automated dashboards and analysis reports.

     Work with cross-functional teams to explore new ways of finding insights from data.



     Advanced degree in quantitative discipline (e.g., math, statistics, operations research, quantitative finance, physics, engineering, computer sciences, etc.)

     5+ years of experience with data analytics and statistical modeling

     Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases

     Programming experience with Python

     Strong quantitative and problem-solving skills with key attention to detail

     Strong project management and organizational skills and the ability to work independently in a fast-paced, quickly changing environment

     Experience supporting and working with cross-functional teams in a dynamic environment

     Experience in the financial services industry a plus

     Applicants must be currently authorized to work in the U.S. on a full-time basis


     Competitive salary and benefits package, including material equity grant

     Casual dress policy

     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