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Wealthsimple // online investment manager
 
Engineering, Full Time    Toronto or Remote (Canada)    Posted: Wednesday, June 09, 2021
 
   
 
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JOB DETAILS
 
Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque & expensive & makes them simple, transparent, & low-cost. We're the company behind some of Canada's leading digital financial products, & are growing faster than ever.

Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn & grow every day. We value great work & great ideas - not ego. We're looking for talented people who love a fast-paced environment, & want to ship often & make an impact with groundbreaking ideas.

We're a remote-first team & output is more important than face time, so where you choose to work is up to you - as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story & help shape the financial future of millions - join us! Read our Culture Manual & learn more about how we work.

At Wealthsimple, we are building products for a diverse world & we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process & beyond, please let us know.

About the team:
The Data Science & Engineering (DSE) team consists of data scientists & software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering & business. The team is responsible for enabling data-driven decision making & building data products at Wealthsimple. We achieve these goals by:
- Building a high quality & scalable state-of-the-art data warehouse that powers all decision making
- Leveraging machine learning & algorithms to help Wealthsimple build smarter financial products
- Using decision science to understand the cause & effect of our business decisions

About the roles:
We are hiring for several roles for four of the Data Science & Engineering teams. Note: please specify the role(s) for which you are applying.

Client Algorithms:
We are looking for a data scientist with strong foundations in Python programming, fundamental understanding of machine learning algorithms, & preferably domain knowledge in client experience. As a Data Scientist on the Clients Algorithms team, you will play a pivotal role in improving the client experience & operational workflows that power our business. You will work closely with the client experience & the core operations team, a highly cross functional team consisting of full stack developers, product managers & operation specialists, to find new opportunities to enhance the client journey.

Fraud Algorithms:
We are looking for a data scientist who has strong foundations in data modelling, statistics & domain knowledge in fraud. As a Data Scientist on the Fraud Algorithms team, you will play a pivotal role in preventing & detecting fraud across all our products. You will work closely with the Product teams & the Fraud Ops team to build fast & accurate feedback loops for the performance of our rule based & probabilistic models.

Growth Algorithms:
We are looking for a data scientist who has strong foundations in experimental design, statistics & domain knowledge in marketing. As a Data Scientist on the Growth Algorithms team, you will play a pivotal role in helping grow the number of clients using & loving Wealthsimple's products. You will work closely with the Growth Marketing team, a highly cross functional team consisting of full stack developers, designers, product managers & growth specialists, to find new opportunities to grow Wealthsimple.

Risk Algorithms:
We are looking for a data scientist who has strong foundations in statistics, machine learning algorithms, & domain knowledge in credit & risk scoring. As a Data Scientist on the Risk Algorithms team, you will play a pivotal role in quantifying credit & risk worthiness of clients. You will work closely with the Product, Operations, & Finance teams, a highly cross-functional team consisting of full stack developers, product managers, & operations specialists to find new opportunities to manage & control risk.
 
 
 
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