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Senior Analytics Developer, Brokerage & Ledger Product Data Science at wealthsimple
wealthsimpleRemote·2h ago
SeniorFull-timePythonRustData ScienceAIData
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Wealthsimple is seeking a Senior Analytics Developer to join their Brokerage & Ledger Product Data Science team. This role involves building and maintaining high-quality analytical data models that support core brokerage and ledger workflows, with a focus on data quality, testing, documentation, and observability.
Key Responsibilities
- →Design, build, and maintain high-quality analytical data models that support core brokerage and ledger workflows
- →Own critical datasets that power client-facing metrics, operational decision-making, and regulatory reporting
- →Work with large, complex, and often imperfect data sources, making trade-offs explicit and outcomes reliable
- →Partner closely with product managers, engineers, operations, finance, compliance, and CX teams to understand stakeholder needs and translate them into durable data solutions
- →Establish and uphold standards for data quality, testing, documentation, and observability
- →Use automation and modern tooling to reduce manual work and increase confidence in outputs
- →Apply AI-assisted workflows thoughtfully to improve speed, quality, or insight generation
- →Mentor and support other analytics developers through design reviews, code reviews, and informal coaching
- →Communicate complex data concepts clearly to partners
Requirements
- ✓Demonstrated experience working with large, complex analytical datasets in a production environment
- ✓Strong SQL skills and experience building analytical models or data marts
- ✓Product-oriented mindset with a focus on data usability, consistency, and long-term ownership
- ✓Experience collaborating with non-technical stakeholders and translating ambiguous questions into concrete analytical work
- ✓Familiarity with modern analytics tooling such as dbt, Airflow, Python, and cloud data warehouses
- ✓Experience applying AI tools or techniques to analytics or data engineering workflows
- ✓Comfort working in regulated or high-stakes environments
- ✓Experience in financial services, trading, or accounting is a plus
Benefits
- ★Competitive base salary range of CAD $151,200 - $189,000
- ★Equity compensation
- ★Top-tier health benefits and life insurance
- ★Long-term group savings with employer match
- ★20 vacation days + 4 wellness days per year
- ★Unlimited sick and mental health days
- ★90 days away program
- ★Employee Resources Groups
- ★Remote-first culture
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