Senior Data Science Manager, Wealthsimple
Professional investing services made simple
Be an early applicant
Professional investing services made simple
1001+ employees
Be an early applicant
1001+ employees
Company mission
To help everyone achieve financial freedom.
Role
Who you are
- Experience leading multiple Data Science teams and a proven dedication to helping your teams and others grow
- Strong business acumen and product sense and ability to help drive strategic vision
- 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
- 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
- Can coach people in their current roles to improve performance and prepare them for future roles
- Has exceptional communication skills and is able to communicate effectively to both technical and non-technical teams
- Plans, organizes, schedules, and budgets in an efficient, productive manner
- 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 Investing teams are the driving force behind Self Directed Investing and Managed Invest products.
- We are hiring for an experienced data science leader to join our Investing leadership team.
- 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
- Analyze user behaviour 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
- Manage the partnership with our Product, Product Marketing and Engineering teams to support works across some of Wealthsimple’s highest priority efforts
- Lead a best-in-class team of data scientists and grow each individual
- 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
- Set organizational standards and influence our data science and engineering culture
- 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
- Empower the team by leveraging their diverse educational backgrounds
- Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!)
Our take
Wealthsimple is one of a crop of robo-advisors trying to democratize investment management. These companies are disrupting the industry by automating many of the processes involved in investment removing the need for human advisors.
But while other so-called robo-advisors are focused on courting the high end of the market, Wealthsimple is trying to provide the same types of tools and advice to all users, regardless of the amount they have to invest.
Wealthsimple does have higher fees than some other robo-advisors such as Betterment and Charles Schwab. However, the company believes that it provides a more user-friendly platform, tailored to millennials who will be attracted to Wealthsimple due to its ease of use and social impact offerings.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
-10% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
May 2021
$520.4m
LATE VC
Oct 2020
$87m
LATE VC
Total funding: $817.4m
Company 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
Company HQ
Fashion District, Toronto, ON
Articles
Leadership
Michael Katchen
(CEO)Previously worked as a Business Analyst at McKinsey and then at Ancestry.com as Country Director for Canada.
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