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 and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and 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 and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas.

We’re a remote-first team and 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 and help shape the financial future of millions — join us! Read our Culture Manual and learn more about how we work.

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.

The  Governance Data Science team consists of analytics engineers and data scientists with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for support teams within Wealthsimple to pro-actively establish good Governance practices and aid in ensuring internal and external conformity using Data and Technology.

We achieve these goals by:

Building a high quality and scalable state-of-the-art data warehouse that powers all compliance/ audit reporting needs

Having deep and nuanced understanding of Financial and Compliance requirements

Engagement with Product team when they are working on new products and features in order to understand risk requirement and what data we need to capture to be on the right side of compliance

Leveraging tools such as Process Mining and Complex Systems Simulation to ensure and report on compliant behaviour

As an Analytics Engineer, you will be at the intersection of business, product teams, data scientists and privacy/risk/governance officers. You will be responsible for building robust, efficient and integrated data models that enable analytics and machine learning across the company. You will play a critical role in building the source of truth in the data warehouse. The successful Analytics Engineer is able to blend business acumen and software engineering best practices while effectively communicating with stakeholders. 

We are looking for a data scientist with strong foundations in SQL & DBT and working understanding of financial products, privacy regulations, risk management and compliance framework.

Some projects include:

Building a self-serve tool to aid in pulling general and baseline data requirements that covers majority of audits and their requirements

Developing a product-compliance playbook to educate product teams about compliance needs and adjoining data requirements 

Working with Privacy and Governance Stakeholders to build Data Maps needed for upcoming Canadian Privacy regulatory requirements

Build data models in cloud data warehouse that will be used as the source of truth for analytics across the company

Apply software engineering best practices like version control and continuous integration to the analytics code base

Work closely with, and to refine product experiences that meet regulatory needs in our Crypto, Trade, Invest and Cash Products

Ensure data models are well tested, documented and maintained

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 their teammates. We value making others successful.

Excellent SQL

Experience with dbt

Comfortable with software engineering best practices like version control and using Git

Experience with a cloud data warehousing (Snowflake, Bigquery, Redshift)

Proficient understanding of data warehousing methodologies and concepts (Kimball, Inmon, etc)

Working understanding of Canadian financial & privacy regulations

Experience working as part of a data team; either a data analyst, data scientist, or data engineer

Able to build and maintain multi-functional relationships with various teams across the business

Excellent communicator who is able to translate business requirements into data models and maintain clear

Knowledge of another programming language e.g. Python is a plus.

Fivetran or Stitch for data extraction and loading as Plus