Wealthsimple is a financial services company on a mission to help everyone achieve financial freedom by providing products and advice that are accessible and affordable. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost.
With over 1 million people using Wealthsimple products, we are the market leader in Canada, and we’re fast growing in the UK. Our team is working together to build one of the most innovative fintech companies in the world and we're looking for talented people who want to help us move fast, ship often and make a huge impact. Join us on our mission to make financial services simple and affordable for everyone!
Read our Culture Manual to learn more about us and how we work.
Data Science & Engineering
The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple.
We achieve these goals by:
Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
Using decision science to understand the cause and effect of our business decisions
We are building a multi-product company with a growing offering including Invest, Cash, Crypto, Trade, and Tax products.
As a Data Scientist on the Fraud Algorithms team, you will play a pivotal role in preventing and detecting fraud across all our products. You will work closely with the Product teams and the Fraud Ops team to build fast and accurate feedback loops for the performance of our rule based and probabilistic models. You also have strong foundations in data modelling, statistics and domain knowledge in fraud.
Some projects include:
Implementing realtime fraud detection across products
Detecting suspicious activity across the Wealthsimple ecosystem
Understanding the financial impact and patterns of various fraud waves
Coming up with metrics and building models to detect abnormal user behaviour across products
In this role, you will:
Use data to make better decisions.
Believe that simple is better, Occam's razor is your friend.
Take ownership and ship it.
You release incrementally and iteratively.
Get the best out of the team by leveraging their diverse educational backgrounds.
Teach and learn from your teammates. We value making others successful.
Collaborate with other teams to plan and execute projects
We are looking for people who have:
Excellent Python & SQL skills.
Strong understanding of fundamental machine-learning algorithms: regression and decision trees.
First hand experience working with popular Python libraries such as Pandas, scikit-learn, NumPy, and notebook environments such as Jupyter or Zeppelin for about 3 years.
Excellent communication skills to tailor our fraud fighting narrative to their audience.
Strong understanding of statistics: both frequentist and Bayesian approaches.
It’s a bonus if you have hands-on experience with Apache Airflow, Kafka, Spark, Flink, and a BI tool like Periscope, Mode Analytics or Tableau.
At Wealthsimple, we are building products for a diverse world and 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 and beyond, please let us know.