Machine Learning/Data Engineer


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Headquarters: Washington, DC
URL: https://www.wave.com/

Our mission

In 2017, immigrants worldwide sent over $600 billion home to family and friends, dwarfing foreign governmental aid. In the age of cheap, quick transfers through services like Paypal and Venmo, these people are trekking to stores to pay fees averaging over 7% for transfers that typically take 24 hours or more.

Wave's mission is to change that by making sending money anywhere in the world easy and affordable. Since 2014, our app has allowed Africans in the US, the UK, and Canada to send money instantly to mobile money wallets in Kenya, Uganda, & Tanzania, saving our users over 70% relative to Western Union and MoneyGram.

As we serve more and more customers, Wave will need to ensure that we're able to identify and prevent fraud. We're building a world class risk team comprised of engineers, data scientists, and operations team members to ensure that we're able to fight fraud and provide our customers with the best user experience possible.

We've gotten pretty good at fighting fraud but we are looking to rapidly expand throughout Africa in the next year, including Nigeria. That's where you come in...

How you'll help us achieve it

Our Risk Engineers build and support everything that helps lower our risk exposure. This includes integration of vendor tools, training new fraud/anomaly detection algorithms, supporting our risk operations teams and improving our monitoring capabilities. You'll leverage your technical skills to build out new tooling for our Risk Representatives, integrate new data sources, build feature engineering pipelines and help evaluate new models.


On any given day, you may:

We're building out a best-in-class Risk infrastructure that can enable us to grow and we're hoping to find an engineer that's excited to solve data-driven problems in an adversarial environment. 

Key details


Requirements


You might be a good fit if you


Bonus points if you

To apply: Applications will be assessed on a rolling basis. If interested, please send our Head of Risk, Omar Ayub ([email protected]), a resume as well as a cover letter describing your interest in Wave and the role. Wave is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Listing Source: https://weworkremotely.com/remote-jobs/wave-machine-learning-data-engineer

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