Senior Analytics Developer, Brokerage & Ledger Product Data Science

Wealthsimple

19h • Remote

About The Position

Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with 3+ million users who trust us with more than $100 billion in assets. And we’re just getting started.

We’re looking for someone who thinks big, sweats the small stuff and keeps things simple. You’ll join a high-bar, fast-paced team where people are trusted to own their work, communicate openly, and ship things that improve our clients’ lives. Collaboration, humility, and an obsession over quality are how we get stuff done.

This team sits at the operational core of Wealthsimple. We build the analytical foundation that powers how client activity is recorded, validated, executed, and reported across the business. Our work spans three closely connected domains:

Book of Record The authoritative historical record of all client financial activity. These datasets power virtually every client-facing metric at Wealthsimple. At our scale, small design decisions have outsized downstream impact.

Ledger Operations The internal systems and analytics that ensure the ledger is accurate, explainable, and trusted. This work partners closely with operations and CX teams to investigate issues, validate outcomes, and continuously improve data quality.

Brokerage, Capital Markets & Regulatory (BCMR) The back office of the trading platform. This includes datasets related to market maker interactions, brokerage feeds, margin, options, futures, and regulatory and compliance reporting. Accuracy and traceability here are non-negotiable.

The problems are interconnected and the data is shared. We’re hiring a Senior Analytics Developer to join the Brokerage & Ledger Product Data Science team. As a Senior Analytics Developer, you may work primarily in one of these areas, but the role is intentionally broad. You’ll own complex analytical datasets end-to-end, from raw inputs to well-designed, well-documented models that are trusted by product, operations, finance, and regulatory partners. You’ll be expected to operate with high autonomy, shape technical direction, and raise the bar for how analytics work is done.

Requirements

• Demonstrated experience working with large, complex analytical datasets in a production environment.
• Strong SQL skills and experience building analytical models or data marts that are consumed by others.
• 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 (e.g. Redshift, Snowflake). Deep expertise in every tool is not required.
• Experience applying AI tools or techniques to analytics or data engineering workflows, with the ability to explain the impact clearly.
• Comfort working in regulated or high-stakes environments where correctness, auditability, and trust matter.

Nice To Haves

• Experience in financial services, trading, or accounting is a plus, but not a requirement.

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.
• Take a product-minded approach to analytics: designing datasets for clarity, usability, and long-term maintainability, not just correctness.
• 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, and clearly articulate where and why they add value.
• Mentor and support other analytics developers through design reviews, code reviews, and informal coaching.
• Communicate complex data concepts clearly, helping partners understand not just what the data says, but how to use it.

Benefits

• Top-tier health benefits and life insurance
• Long-term group savings with employer match using our Wealthsimple for Business platform
• 20 vacation days + 4 wellness days per year, and unlimited sick and mental health days
• 90 days away program: Employees can work outside of Canada for up to 90 days per calendar year
• A wide variety of peer and company-led Employee Resources Groups (e.g., Rainbow, Women of Wealthsimple, Black @ WS)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed