DESCRIPTION

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 hardworking 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 seeking a Data Science Manager to join a team of analytics and machine learning experts. The hire will focus on directing the team that builds machine learning models and runs exploratory data analysis to make a direct impact in a data-driven company. The individual must be self-directed and comfortable working with cross functional teams. This is an exciting and rare opportunity to join a well-capitalized startup on the ground floor and help drive our success.

Key Responsibilities:

• Develop, improve and test company’s models to optimize lending decisions by using advanced statistical modeling and simulation techniques

• Support implementation of the models working closely with software engineering team

• Research, test and operationalize new analytics techniques and data sources to improve portfolio performance

• Conduct ad hoc analysis using advanced data mining tools to support risk management, operations and marketing strategies

• Assist with development of technical tools and platforms to standardize and streamline model development and monitoring processes

• Work with cross-functional teams to explore new ways of finding insights from data and provide recommendations. Conduct exploratory research into our data, our metrics, and how we can better use these commodities 

REQUIREMENTS

• A Bachelor's, Master's or PhD in math, statistics, computer science, engineering or related field

• 6+ years of experience with data analytics and statistical modeling

• Advanced programming skills in Python

• Experience building machine learning models

• Experience working with relational databases, such as SQL

• Experience working within an open source environment

• 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 working with specialty finance or FinTech is a plus

• Start-up experience is a plus

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

BENEFITS

• 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