Top Benefits
Retirement savings matching plan
Company equity for full-time employees
Paid parental leave (6 months, 100% salary)
About the role
Who you are
- Strong business acumen and product sense
- Excellent Python & SQL skills, first hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and Jupyter
- Strong understanding of statistics: both frequentist and Bayesian approaches
- Strong understanding of fundamental machine-learning algorithms: regression and decision trees
- Is able to articulate their stance in a manner that effectively collaborates with different stakeholders
- Adjusts quickly to changing priorities and effectively manages complexity and change
- Has exceptional communication skills and is able to communicate effectively to both technical and non-technical teams
- Is eager to teach and learn from your team. We value making each other successful!
- Is a lifelong learner. You’re constantly seeking and welcoming feedback to continue improving yourself and your craft
What the job involves
- At Wealthsimple, our SDI teams are the driving force behind Self Directed Investing and Crypto products.
- We are hiring for an experienced data scientist to specifically focus on crypto products.
- This individual will work on some of the highest priority initiatives at Wealthsimple, ensuring that our product strategy is well grounded in data and analytics
- Crypto products data science at Wealthsimple offers a unique opportunity to be at the forefront of innovation in the FinTech industry.
- You'll contribute to democratizing access to cryptocurrency, empowering Canadians on their journey to financial freedom
- You'll tackle complex challenges and leverage cutting-edge technologies to analyze user behavior, optimize product performance, and shape the future of cryptocurrency within a dynamic and fast-growing environment.
- The crypto space is constantly evolving, making this a thrilling area for data-driven decision-making and impactful contributions
- Analyze user behavior to understand how clients interact with the product
- Develop and implement experiments to evaluate new features and product changes
- Apply causal inference methods in non-experimental settings
- Use machine learning algorithms to segment users and personalize product experiences
- Develop and maintain core data models and pipelines to ensure data quality and accessibility
- Partner with our Product, Product Marketing and Engineering teams to support works across some of Wealthsimple’s highest priority efforts
- Build robust, efficient, and integrated data models in cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization
- Apply statistical techniques and build machine learning models to solve real life product problems and to inform product decisions and strategies
- Apply software engineering best practices like version control and continuous integration to the analytics code base; ensure data models are well tested, documented and maintained
- Translate business requirements into data models and analysis that will help stakeholders answer key business questions and inform strategic decisions
- Continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend
- Take ownership and ship it
Benefits
- Retirement savings matching plan through Wealthsimple Work
- Company equity for full-time employees
- Access to Premium Client perks, including personal finance learning & advice and a boosted interest rate on deposits
- Paid parental leave (6 months topped up to 100% of salary)
- 20 vacation days per year
- 90 Days Away program
- Top-tier health benefits
- Life & disability insurance
- Generous sick and mental health days
- Employee resource plan including services like RMT, psychology, and physiotherapy
- Up to $5,000 per year for mental health supports
- Gender Affirmation benefits
- Up to $1,500 per year for professional development
- Up to $1,500 per year for wellness and home office expenses
- Employee resource groups
- Social impact hours
Top Benefits
Retirement savings matching plan
Company equity for full-time employees
Paid parental leave (6 months, 100% salary)
About the role
Who you are
- Strong business acumen and product sense
- Excellent Python & SQL skills, first hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and Jupyter
- Strong understanding of statistics: both frequentist and Bayesian approaches
- Strong understanding of fundamental machine-learning algorithms: regression and decision trees
- Is able to articulate their stance in a manner that effectively collaborates with different stakeholders
- Adjusts quickly to changing priorities and effectively manages complexity and change
- Has exceptional communication skills and is able to communicate effectively to both technical and non-technical teams
- Is eager to teach and learn from your team. We value making each other successful!
- Is a lifelong learner. You’re constantly seeking and welcoming feedback to continue improving yourself and your craft
What the job involves
- At Wealthsimple, our SDI teams are the driving force behind Self Directed Investing and Crypto products.
- We are hiring for an experienced data scientist to specifically focus on crypto products.
- This individual will work on some of the highest priority initiatives at Wealthsimple, ensuring that our product strategy is well grounded in data and analytics
- Crypto products data science at Wealthsimple offers a unique opportunity to be at the forefront of innovation in the FinTech industry.
- You'll contribute to democratizing access to cryptocurrency, empowering Canadians on their journey to financial freedom
- You'll tackle complex challenges and leverage cutting-edge technologies to analyze user behavior, optimize product performance, and shape the future of cryptocurrency within a dynamic and fast-growing environment.
- The crypto space is constantly evolving, making this a thrilling area for data-driven decision-making and impactful contributions
- Analyze user behavior to understand how clients interact with the product
- Develop and implement experiments to evaluate new features and product changes
- Apply causal inference methods in non-experimental settings
- Use machine learning algorithms to segment users and personalize product experiences
- Develop and maintain core data models and pipelines to ensure data quality and accessibility
- Partner with our Product, Product Marketing and Engineering teams to support works across some of Wealthsimple’s highest priority efforts
- Build robust, efficient, and integrated data models in cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization
- Apply statistical techniques and build machine learning models to solve real life product problems and to inform product decisions and strategies
- Apply software engineering best practices like version control and continuous integration to the analytics code base; ensure data models are well tested, documented and maintained
- Translate business requirements into data models and analysis that will help stakeholders answer key business questions and inform strategic decisions
- Continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend
- Take ownership and ship it
Benefits
- Retirement savings matching plan through Wealthsimple Work
- Company equity for full-time employees
- Access to Premium Client perks, including personal finance learning & advice and a boosted interest rate on deposits
- Paid parental leave (6 months topped up to 100% of salary)
- 20 vacation days per year
- 90 Days Away program
- Top-tier health benefits
- Life & disability insurance
- Generous sick and mental health days
- Employee resource plan including services like RMT, psychology, and physiotherapy
- Up to $5,000 per year for mental health supports
- Gender Affirmation benefits
- Up to $1,500 per year for professional development
- Up to $1,500 per year for wellness and home office expenses
- Employee resource groups
- Social impact hours