Parker (W19)
Parker is a digital bank.

Founding Data Engineer

New York / Remote
Full-time
3+ years
About Parker

Parker's mission is to increase the number of financially independent people. We believe we can achieve this goal by building tools that enable independent business owners to scale their businesses profitably. Our first product combines a virtual credit card system with dynamic spending limits and software tooling to help merchants grow and optimize their profitability.

We are growing very fast -- in less than five months, we have grown to millions in card volume. We have a significant waitlist of customers waiting to use our product. We are looking to expand our headcount quickly to support the demand. Our investors include Solomon Hykes (founder of Docker), Paul Buchheit (founder of Gmail), Paul Graham (founder of Y Combinator), Robert Leshner (founder of compound.finance), and many more. We recently closed a financing round of $5M from a top-tier fintech investor.

About the role

Skills: Node.js, Python

Parker's mission is to increase the number of financially independent people. We believe we can achieve this goal by building tools that enable independent business owners to scale their businesses profitably. Our first product combines a virtual credit card system with dynamic spending limits and software tooling to help merchants grow and optimize their profitability.

We are growing very fast -- in less than five months, we grew to millions in card volume. We have a significant waitlist of customers waiting to use our product. We are looking to expand our headcount quickly to support the demand. Our investors include Solomon Hykes (founder of Docker), Paul Buchheit (founder of Gmail), Paul Graham (founder of Y Combinator), Robert Leshner (founder of compound.finance), and many more. We recently closed a financing round of $5M from a top-tier fintech investor.

What you'll be working on

You'll be involved in projects of varying scope and complexity:

  • Build credit risk models that segment merchants based on their revenue and spend patterns to offer dynamic credit limits that change with business performance given the high seasonality and fast pace of ecommerce
  • Use machine learning tools to build realtime credit underwriting models leveraging alternative and traditional data sources

What You'll Need

  • Passion for, or curiosity to learn, financial technology
  • Track record of high-quality shipping products and features at scale
  • Ability to turn business and product ideas into engineering solutions
  • Desire to work in a fast-paced environment, continuously grow and master your craft

What we’d like to see

  • Experience working with credit risk modeling
  • Experience working with data analytics, algorithmic decision making, and real-time data systems
  • Proven experience and subject matter expertise in e-commerce payments (nice to have) or financial services

Technology

Typescript, Next.js, NodeJS, Hasura, GraphQL, PostgreSQL

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