Edge ( is a data and analytics platform that harnesses bank transaction data to measure consumer credit risk. Founded in 2021, Edge is part of a larger family of FinTech brands that sits underneath our parent company, NinjaHoldings ( NinjaHoldings’ brands also include CreditNinja, a high velocity online consumer lending business, and NinjaCard, a neobanking platform focused on consumers in the emerging credit space.
At our core, Edge is a cash flow bureau (versus a credit bureau). We have proprietary technology and data sets that allow us to extract predictive features from granular bank transaction data and measure the risk of a consumer. Our solutions are built on a massive data lake that uniquely combines performance data from over $500 million in loans with over 3 billion consumer-permissioned bank transactions, an “edge” that can only be replicated at considerable time and cost. We believe that we provide a benefit to lenders and consumers by providing a more accurate financial picture of consumers who are overlooked, or incorrectly scored by the traditional bureaus, ultimately opening up access to fairer, more accurately priced credit.
With offices in Chicago and employees working remotely from around the world, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance.
Key Responsibilities:
- Work collaboratively with data scientists and engineers on the team to scope, design, and develop high-performance data analysis services
- Ensure the deployment and maintenance of analytics services, making sure they align with business objectives and industry best practices
- Coordinate seamlessly with the platform and product teams, contributing to the deployment and iterative improvement of our analytics services
- Participate in multiple projects simultaneously, adapting to priorities and thriving in a dynamic, fast-paced environment
- Advocate for best engineering practices, including coding standards, code reviews, and continuous integration
- Provide technical expertise and recommendations in assessing new software projects and initiatives
Qualifications:
- A minimum of 2 years of professional experience in software engineering, data engineering, or analytics engineering
- Strong proficiency with Python and SQL
- Familiarity with AWS and its suite of data and cloud services
- An understanding of data science and machine learning workflows is a bonus
- Strong organizational and multitasking skills, with a capacity to handle multiple projects and tasks concurrently
- Strong interpersonal and communication skills, with the ability to collaborate effectively across diverse teams
- Experience in lending, banking, financial services, or risk analysis will be considered a significant plus.
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