Wealthsimple: Senior Analytics Developer, Brokerage & Ledger Product Data Science

Headquarters: Remote / Canada

Build something people loveWealthsimple 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.In this role you will: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.Role

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.Experience in financial services, trading, or accounting is a plus, but not a requirement.Compensation & Equity Base salary range: For this role, candidates located in Canada can expect a base salary range of CAD $151,200 - $189,000.

Actual compensation is determined based on skills, experience, and role level.

Exceptional candidates may be considered above the top of the range, and pay can increase quickly for those who make a big impact in the role.

Total compensation: In addition to base salary, this role includes equity compensation.

We use clear job levels and market-based salary bands to ensure compensation is fair and consistent across the company.Why Wealthsimple? 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 days️ 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) We’re a remote first team with over 1,500 employees across North America - and one of the best things about working here is the people.

You’ll be collaborating with incredibly talented, curious, and driven teammates who care deeply about doing great work.

Be a part of our Canadian success story and help shape the financial future of millions.Read our Culture Manual and learn more about how we work.

Technology & Innovation at WealthsimpleWe believe the future belongs to those who innovate boldly.

At Wealthsimple, every team member is expected to lean into new technologies, including AI, and tooling to rethink how we work, solve problems faster, and create even greater value.

We're looking for people who are not just comfortable with change but energized by it.

Our commitment is to build a company that evolves at the pace of the world around us, and we want you to help lead that future.DEI StatementAt Wealthsimple, we are building products for a diverse world and 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.

Accessibility StatementWealthsimple provides an accessible candidate experience.

If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation.

We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs.At Wealthsimple, we want interviews to feel like genuine conversations.

To support this, we use AI transcription during recruiter interviews.

This allows recruiters to be fully engaged, ask thoughtful follow-up questions, and ensure your experiences are captured accurately.

You’ll always have the choice to opt in or out before we begin.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.

These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.

To apply: https://weworkremotely.com/remote-jobs/wealthsimple-senior-analytics-developer-brokerage-ledger-product-data-science