Senior Analytics Developer (Finance, Brokerage & Market Risk)

• The Finance, Brokerage and Market Risk Data Science team is a dynamic group of data scientists and analytics developers who deliver high-quality financial metrics and advanced analytics that drive key decisions at Wealthsimple. We support financial planning, treasury operations, liquidity management, and brokerage risk assessment for products like margin trading and options
• Our team has created a solid foundation for data-driven financial decision-making. Now we’re ready to scale these initiatives, optimizing financial resources and enhancing risk management as our product offerings grow increasingly sophisticated
• In this role, you’ll make a significant impact through advanced analytics that support both strategic financial planning and sophisticated market risk management across our expanding brokerage services
• Own the development and maintenance of the finance and market risk data marts, optimizing for performance, data quality, reliability, and efficiency
• Design, build, and document robust data pipelines that generate critical financial reports and metrics for stakeholders across the organization
• Build, automate, and maintain brokerage reporting & monitoring systems, ensuring data integrity and accuracy across financial processes
• Partner closely with business stakeholders in brokerage and market risk to launch and support new financial products and model development initiatives
• Create insightful dashboards and visualizations to monitor brokerage KPIs, profitability metrics, and regulatory reporting requirements
• Provide business intelligence support for trade and collateral monitoring, financial reporting, product performance analysis, and forecasting initiatives
• Translate complex business requirements into scalable analytics solutions that address key financial and risk management needs
• Participate in code reviews and contribute to best practices for data engineering and analytics development
• Mentor junior team members and share knowledge to elevate the team’s technical capabilities

Benefits

• Retirement savings matching plan through Wealthsimple Work
• Company equity for full-time employees
• Access to Premium Client perks, including personal finance learning & advice and a boosted interest rate on deposits
• Paid parental leave (6 months topped up to 100% of salary)
• 20 vacation days per year
• 90 Days Away program
• Top-tier health benefits
• Life & disability insurance
• Generous sick and mental health days
• Gender Affirmation benefits
• Employee resource plan including services like RMT, psychology, and physiotherapy
• Up to $5,000 per year for mental health supports
• Up to $1,500 per year for professional development
• Up to $1,500 per year for wellness and home office expenses
• Employee resource groups
• Social impact hours- Demonstrated ability to collaborate effectively with cross-functional teams, including finance, risk, and product teams
• Strong data visualization skills with experience using tools such as Tableau, Looker, Power BI, or similar platforms
• Familiarity with regulatory reporting requirements and financial product structures (a plus)
• Hands-on experience building and orchestrating data pipelines using modern tools such as dbt, Airflow, or similar workflow management platforms
• Strong proficiency in SQL with the ability to write complex queries, optimize performance, and work with large-scale datasets
• Understanding of analytics engineering principles and best practices for building maintainable, well-documented data models
• Proficiency in Python for data manipulation, automation, and scripting
• Experience working at brokerage operations or financial services, with knowledge of accounting principles and market risk concepts (preferred)
• Experience with version control systems, particularly Git and GitHub, including branching strategies, pull requests, and code reviews
• Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders
• Proven ability to translate complex business requirements into scalable, data-driven solutions
• Working knowledge of cloud infrastructure, particularly AWS services (S3, Redshift, Snowflake or equivalent)
• 5+ years of experience in data engineering or analytics development, with demonstrated expertise in data mart architecture, design, and management