Chicago, Illinois, United States
NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people overlooked by traditional financial institutions to take control of their finances via a full suite of digital banking and lending products, providing incentives and rewards along the way as we guide them on a path to financial improvement. Through our NinjaEdge brand, we help companies better understand their customers by offering a package of bespoke underwriting, fraud detection, and analytics services. With offices in Chicago, Miami, and around the world through the power of remote work, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance.
We are looking for a Software Engineer to join a team of analytics and machine learning experts. The hire will be responsible for building tooling to support analytics, helping to extend our machine learning platform, creating deployment and testing methodologies, and interfacing with the Development team to create cross-team solutions. The ideal candidate is an experienced software engineer and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. Experience in analytics and statistics is a major bonus. The right candidate will be excited by the prospect of optimizing or even re-designing our team’s deployment architecture to support our next generation of products and data initiatives.
Write and manage the code that deploys production grade assets into RestAPIs
Create and maintain deployment paths that allow for CI/CD processes
Extend our machine learning platform by designing tools that interface with cloud services, our current code base, and provide new flexibility in model building.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, and AWS.
Create data-handling tools for analytics and data scientist team members that assist them in building and optimizing our decision-making process.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases.
Experience building deployment pipelines and integrating with continuous integration tooling
Strong experience with object-oriented design in Python
Experience building and maintaining RestAPI systems, Flask apps, and state machines
Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
Working knowledge of message queuing, stream processing, and highly scalable data stores.
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.
We are looking for a candidate with 2+ years of experience in a Software Engineer role, who has attained a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
Experience with relational SQL databases, including Postgres and MySQL.
Experience with object-oriented design in Python
Experience with data pipeline and workflow management tools
Experience with AWS cloud services: EC2, RDS, Redshift, Glue, S3
Nice to haves:
Strong analytic skills and understanding statistical methodologies
Experience building machine learning models
Experience handling data from acquisition to usage in models
Experience with Ruby (on Rails)
Casual dress policy
Fun, fast-paced work environment
Dynamic start-up culture
Ability to make an impact in a growth stage company
Convenient downtown Chicago office located in the heart of the city
Equal opportunity employer