The Data Engineer will work on developing and building the next generation of risk analytics to protect and grow the business. Working with a team of risk analysts/data scientists, you will partner with engineering, finance, business development, customer service and operations to develop scores and strategies to improve approval rate, chargeback, and false positive. The ideal candidate has deep analytic skills, as well as the ability to translate complex models into working code for implementation.

What You’ll Do:

  • Build and manage data pipelines for our Risk team
  • Collaborate with internal teams and external partners to improve risk detection while minimizing user friction
  • Manage risk analytics solutions from development, testing, implementations, tracking, to retirement
  • Develop and propose tradeoffs to understand and manage customer lifecycle value, risk exposure, and costs
  • Who You Are:

  • Bachelor’s or Masters in either Computer Science, Math, Statistics, Operations Research, Physics, or Engineering
  • 2-5 years of Data Engineering experience within Risk or Payments
  • Experience with NoSQL, MongoDB, Python, R, Hive/Hadoop, Tableau, NEO4J, or equivalent
  • Experience within Payments or Risk in a tech, finance or eCommerce field
  • Company Description
    Wish brings together top technical talent from Google, Facebook, LinkedIn, Uber, Pinterest, and Yahoo! Wish,, is changing the way people shop by making it more convenient and accessible to everyone on a global scale. We are passionate about connecting relevant products to relevant people. Using our top-notch recommendation system, we create a personalized shopping experience for each of our users. It’s a digital mall, right in your back pocket!
    Wish was launched in November 2011 and already has over 200 million registered users, making it one of the top 5 mobile shopping applications, and highest downloaded shopping app on Black Friday 2015!
    Learn more about us:
    - Recode
    Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunity for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please contact us at For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.