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Wealthsimple // online investment manager
Engineering, Full Time    Toronto    Posted: Saturday, August 31, 2019
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Wealthsimple makes financial tools that are easy, accessible, & transparent. We are on a mission to democratize access to world-class financial tools for everyone, regardless of age, net worth, background, or education. With over $5+ billion in assets under management & 175,000+ clients, we're the market leader in Canada & are fast growing in the US & UK. Our team is working together to build one of the largest & most innovative fin-tech companies in the world. Join us & change the future of finance. Read our Culture Manual to learn more about us & how we work.

Engineering @ Wealthsimple
Wealthsimple's engineering teams build software that helps hundreds of thousands of users manage billions of dollars in assets. We do this using a micro service architecture & an agile approach, focused on short iterations & rigorous automated testing, deploying our code over 100 times a day.

The Role
We are looking to hire senior engineers into our accounting & book of record engineering organization. This teams manages transactional data for all of Wealthsimple's products including: The core invest platform, WS Trade (Self-Directed Trading), WS Save and, WS Advisor platform. We use the data to power the dashboards that all clients see when they load the various apps, generate daily aggregations for brokerage operations, as well as monthly & annual statements for clients, regulators & tax authorities. We also manage back end operations on this data such as fee & interest calculations as well as real time balance calculations to manage our risk.

Over the last 2 years we have doubled our transaction volume every 3-6 months & we see the trend continue with future product launches. We are handling around a million transactions every day currently & our databases are reaching into the multiple terabyte range. We have a unique problem of requiring global strict ordering of transactional data & presenting reports across multiple time-lines. For this reason we are building a custom data processing pipeline.
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