Manager, Quantitative Market Risk

🕒 August 18

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🎲 Risk

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Wealthsimple

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

💼 Consulting

🛡️ Insurance

💳 Fintech

🔥 Funding within the last year

💰 $393M Series E - Wealthsimple on 2025-10

Consulting • Insurance • Fintech

Wealthsimple is a Canadian financial technology company that provides consumer banking, investing, and wealth management services. It offers chequing accounts, savings, credit cards, self-directed trading (stocks, ETFs, options), cryptocurrency trading, managed portfolios, tax services, and advisory wealth management for high-net-worth clients. Wealthsimple combines digital-first banking and low-fee investing products aimed at retail customers, along with tools and educational content to support personal finance.

📋 Description

• Own the development, testing, and ongoing maintenance of quantitative risk models, including VaR, SVaR, broad-based stress testing, and single-stock stress testing • Update models as market conditions and regulatory requirements evolve • Write and maintain clear methodology documentation for every model used in day-to-day stakeholder decisions • Apply knowledge of CIRO 5000 margin rules to model margin requirements and capital impacts under stressed conditions • Develop production-quality code across multiple programming languages to build, maintain, and improve model infrastructure • Work cross-functionally with margin, delinquency, and dynamic risk reporting teams to support risk-cognizant decision-making • Translate complex model outputs into clear, actionable guidance • Identify and proactively flag model performance issues, including inaccurate or non-meaningful outputs • Potentially lead a small team and be evaluated for a Senior Manager position depending on qualifications and skills

🎯 Requirements

• 7 to 10 years of experience in a quantitative risk or quantitative analytics role within financial services • Preferably experience in a CIRO-regulated brokerage environment • Hands-on model development experience across VaR, SVaR, broad-based stress testing, and single-stock stress testing • Deep knowledge of markets, trading instruments, and valuation principles across equities, options, futures, and fixed income • Deep understanding of CIRO 5000 margin rules and ability to model margin requirements and capital impacts under stressed conditions • Expert-level proficiency in at least one quantitative programming language, such as Python or R, with demonstrated ability to develop production-quality code • Strong written communication skills and ability to produce clear methodology documentation for technical and non-technical audiences • Ability to work independently on complex technical problems and deliver under tight deadlines • Ability to lead a small team • Legally eligible to work in Canada • Direct experience building capital impact models using CIRO 5000 margin rules and 7–10 years of quantitative risk experience in a Canadian brokerage environment • Independently built and documented a VaR, SVaR, or stress testing model from scratch using production-quality Python or R

🏖️ Benefits

• Top-tier health benefits and life insurance • Long-term group savings with employer match, through Wealthsimple for Business • 20 vacation days • 4 wellness days • Unlimited sick and mental health days per year • Work outside Canada for up to 90 days per year • Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS • Collaboration with talented, curious, and driven teammates • Accessible hiring experience and accommodations throughout the interview process