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 Governance Data Science team consists of analytics engineers & data scientists with diverse educational backgrounds such as math, operations research, economics, computer science, engineering & business. The team is responsible for support teams within Wealthsimple to pro-actively establish good Governance practices & aid in ensuring internal & external conformity using Data & Technology.
We achieve these goals by:
Building a high quality & scalable state-of-the-art data warehouse that powers all compliance/ audit reporting needs
Having deep & nuanced understanding of Financial & Compliance requirements
Engagement with Product team when they are working on new products & features in order to understand risk requirement & what data we need to capture to be on the right side of compliance
Leveraging tools such as Process Mining & Complex Systems Simulation to ensure & report on compliant behaviour
About the role:
As an Analytics Engineer, you will be at the intersection of business, product teams, data scientists & privacy/risk/governance officers. You will be responsible for building robust, efficient & integrated data models that enable analytics & 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 & software engineering best practices while effectively communicating with stakeholders.
We are looking for a data scientist with strong foundations in SQL & DBT & working understanding of financial products, privacy regulations, risk management & compliance framework.
Some projects include:
Building a self-serve tool to aid in pulling general & baseline data requirements that covers majority of audits & their requirements
Developing a product-compliance playbook to educate product teams about compliance needs & adjoining data requirements
Working with Privacy & Governance Stakeholders to build Data Maps needed for upcoming Canadian Privacy regulatory requirements
In this role, you will have the opportunity to:
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 & continuous integration to the analytics code base
Work closely with, & to refine product experiences that meet regulatory needs in our Crypto, Trade, Invest & Cash Products
Ensure data models are well tested, documented & maintained
Believe that simple is better, Occam's razor is your friend.
Take ownership & ship it.
You release incrementally & iteratively.
Get the best out of the team by leveraging their diverse educational backgrounds.
Teach & learn from their teammates. We value making others successful.
Skills we are looking for:
Experience with dbt
Comfortable with software engineering best practices like version control & using Git
Proficient understanding of data warehousing methodologies & 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 & maintain multi-functional relationships with various teams across the business
Excellent communicator who is able to translate business requirements into data models & maintain clear
Knowledge of another programming language e.g. Python is a plus.