We're making Africa the first cashless continent.

In 2017, nearly 60% of adults in sub-Saharan Africa had no bank account. That's for good reason—the fees are too high, the closest branch can be miles away, and nobody takes cards. Without access to financial institutions, people are forced to keep their savings under the mattress. Small business owners rely on lenders who charge extortionate rates. Parents spend hours waiting in line to pay school fees in cash.

We're solving this by building financial services that just work: no account fees, instantly available, and accepted everywhere. In places where electricity, water and roads don't always work, you can still send money with Wave. In November 2017, we launched a mobile app in Senegal for cash deposit, withdrawal, and peer-to-peer and business payments. In 2019, we expanded to Cote D'Ivoire. Now, we have millions of users and are growing fast. 
Our goal is to drive financial inclusion and make Africa the first cashless continent. 

Wave Mobile Money

Data Scientist

Join Wave as a Data Scientist to optimize financial services with machine learning.

• We’re looking for an experienced Data Scientist with experience in ad hoc data analysis, optimization, and machine learning to join our team.
• You will work on a wide range of data analysis projects across teams, such as supporting call volume forecasting, optimizing operation field visit schedules to maximize impact, targeted promos for users, improving our fraud models, and more!
• Be embedded closely with our product and operations teams.
• Generate insights using customer, merchant and internal data using statistical modelling, data visualization, and machine learning.
• Design, implement and analyze optimizations for our internal operations, user promos, and agent network to help teams scale and reduce costs.
• Build data-driven heuristics and machine-learning models to improve user and business outcomes.
• Take ownership of the analytics process - from project scoping and design to communicating findings to stakeholders.

Data Scientist 

Site Reliability Engineer

Ensure high reliability and performance of financial services systems for millions of users.

• As a Site Reliability Engineer at Wave, you will be responsible for ensuring our systems are highly reliable, scalable, and performant to support our rapid growth.
• You will design, implement, and maintain robust infrastructure and tools to handle millions of transactions daily across multiple countries.

Security Engineer

Enhance application security and support product teams in various security projects.

• You’ll primarily be responsible for our application security, working with our product teams to enhance our security posture.
• This broadly scoped role will allow you to get your hands on many different types of security projects.

Application Security Engineer 

Analyze experiments to improve Wave's product and customer experience.

• We’re looking for an expert in statistical analysis focused on Experimentation and Causal Inference to join the Growth team at Wave.
• In this role, you will design, run, and analyze experiments in collaboration with product and operations teams to improve the product and customer experience.
• The aim is to apply rigorous statistical methods of causal inference and machine learning to grow our user base and optimize product features.
• You can work remotely from anywhere (between UTC -5 and +2) with reliable internet access.
• You’re willing to travel to one of our key markets once per year for ~6 days (Wave covers all costs). We also provide a yearly stipend of $800 to meet with coworkers.
• Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level, we offer a competitive base salary, plus a generous equity package.
• We run performance reviews twice a year and award bonuses or promotions to strong performers who have been with the company for more than six months.
• You might be a good fit if you are proficient in SQL and Python/R, have a deep understanding of experimental methods and causal analysis, are a self-starter that excels at exploring problems and collaborating closely with operations teams to drive growth through data, and like to ask questions of data and just have to find out the answers.


Wave Mobile Money Jobs in New York City