EDGE (www.edgescore.com) is a B2B fintech on a mission to expand credit access for consumers historically unserved and underserved by the reports and scores of traditional credit bureaus. We’re doing this with risk analytics based on complementary alternative data that reveals a more complete financial picture.
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 nationwide online consumer lending business established in 2017, and NinjaCard, a neobanking platform focused on consumers in the emerging credit space.
The EDGE business is at an inflection point where we’ve proven our platform’s value with early adopters and we’re ready to go full-throttle into our target markets. Elevating every aspect of our marketing efforts is a critical element in this planned ramp-up.
As part of our mission to make finance more accessible, we’re looking for a Data Scientist or Data Engineer to join our growing team.
In this role, you will apply expertise in data science and data engineering to build robust analytical models and end-to-end data services. You will develop and maintain ML pipelines, conduct data analyses to inform decisions, and implement scalable, high-performance backend systems in a cloud-native environment.
This is a unique opportunity to create powerful fintech solutions and directly impact product innovation.
Key Responsibilities:
Model Development and Data Analysis
- Design, train, and validate predictive models using advanced machine learning techniques
- Conduct exploratory data analysis and research to uncover trends and drive the development of new feature sets
Data Engineering and Services
- Develop, maintain, and optimize scalable data pipelines and workflows in Python
- Implement and manage containerized applications using Docker and Kubernetes
- Build and maintain gRPC and RESTful services to support real-time analytics and data delivery
- Leverage AWS (S3, RDS, EKS) and other cloud services to deploy and manage data solutions
Collaboration & Operations
- Work closely with front-of-house teams to translate requirements into data-driven features and services
- Partner with platform engineers to ensure efficient, reliable integration of analytics into production systems
- Employ best practices for version control (GitHub) and CI/CD pipelines to streamline deployment
Requirements:
- 2+ years in a Data Science, Data Engineering, or Software Engineering role
- Advanced Proficiency in Python (including Pandas, NumPy) and strong understanding of machine learning principles and workflows
- Experience building, maintaining, and optimizing data pipelines; familiarity with distributed/parallel processing
- Hands-on experience with AWS (S3, RDS, EKS) and container orchestration with Docker/Kubernetes
- Experience designing, implementing, and consuming gRPC and RESTful APIs
- Strong knowledge of relational databases (PostgreSQL or similar) and SQL
Additional Pluses, but not requirements:
- Experience with Kubeflow
- Experience with Clickhouse, Snowflake and other column-oriented databases
- Proficiency in Go or Rust, with application to data processing
Benefits:
- Competitive salary and benefits package
- 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
IMPORTANT NOTICE:
Please carefully review communications to ensure that they are from the official Breezy applicant tracking platform (@breezy-mail.com) or an official NinjaHoldings brand email: @ninjaholdings.com, @creditninja.com, @ninjacard.com, or @edgescore.com. If you have been contacted regarding a job opening at NinjaHoldings from any other email address, including similar email variations, this is NOT a trusted source. We recommend that you refrain from responding to suspicious emails and file a complaint with the FBI's Internet Crime Complaint Center (IC3) at https://www.ic3.gov. For questions or to confirm the authenticity of a communication, please email hr @ninjaholdings.com.
Top Skills
What We Do
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 (www.ninjaholding.com). NinjaHoldings’ brands also include CreditNinja, an 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 4 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.
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EDGE Offices
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