Software/Data Engineer

Edge (www.edgescore.com) 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 (www.ninjaholding.com). 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 servicesEnsure the deployment and maintenance of analytics services, making sure they align with business objectives and industry best practicesCoordinate seamlessly with the platform and product teams, contributing to the deployment and iterative improvement of our analytics servicesParticipate in multiple projects simultaneously, adapting to priorities and thriving in a dynamic, fast-paced environmentAdvocate for best engineering practices, including coding standards, code reviews, and continuous integrationProvide technical expertise and recommendations in assessing new software projects and initiativesQualifications:A minimum of 2 years of professional experience in software engineering, data engineering, or analytics engineeringStrong proficiency with Python and SQLFamiliarity with AWS and its suite of data and cloud servicesAn understanding of data science and machine learning workflows is a bonusStrong organizational and multitasking skills, with a capacity to handle multiple projects and tasks concurrentlyStrong interpersonal and communication skills, with the ability to collaborate effectively across diverse teamsExperience in lending, banking, financial services, or risk analysis will be considered a significant plus.Benefits:Competitive salary and benefits packageFlexible, remote workFun, fast-paced work environmentDynamic start-up cultureAbility to make an immediate impact in a growth stage companyConvenient downtown Chicago office located in the heart of the cityEqual opportunity employer

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