Quantitative Analyst – Remote / Canada

last updated January 13, 2026 19:37 UTC

Xsolla

HQ: Hybrid

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Overview:
We’re seeking a highly analytical Quantitative Analyst to join our FP&A team, leveraging advanced mathematical, statistical, and programming skills to build sophisticated models that enhance forecasting, budgeting, and strategic financial planning, transforming complex data into actionable business insights.
What you will do:
Model Development: Design, build, and maintain advanced financial models (forecasting, valuation, scenario analysis, budgeting) using quantitative techniques.
Data Analysis: Analyze large, complex datasets to identify trends, variances, risks, and opportunities impacting financial performance.
Forecasting & Planning: Apply statistical modeling, machine learning, and econometrics to improve accuracy in financial projections and strategic plans.
Risk & Performance: Conduct risk analysis, backtesting, and performance monitoring of financial models and business drivers.
Business Partnering: Collaborate with finance, operations, and business leaders to translate quantitative findings into clear recommendations for strategic decisions.
Automation: Develop automated reporting and analysis tools to streamline FP&A processes.
Reporting: Prepare and present detailed analyses, dashboards, and presentations to senior management.
What you need to succeed:
Education: Degree in Finance, Economics, Math, Stats, Comp Sci, or related quantitative field (advanced degrees preferred).
Technical Skills: Proficiency in Jedox, Scripting languages (Python), R/MATLAB, SQL, statistical modeling, data manipulation, advanced Excel, financial modeling.
Financial Knowledge: Strong understanding of financial statements, accounting principles, financial markets, and risk management.
Analytical Skills: Exceptional critical thinking, problem-solving, and attention to detail.
Experience: Proven experience in financial analysis, data science, or quantitative modeling.
$75,000 – $150,000 a year
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.
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