Description
Wealthsimple is seeking a Senior Data Scientist to join the Finance, Brokerage and Market Risk Data Science team. The successful candidate will have the opportunity to make a significant impact through advanced analytics that support both strategic financial planning and sophisticated market risk management across the company's expanding brokerage services.
Key Responsibilities:
- Own the development and maintenance of 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 and 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.
Requirements:
- 5+ years of experience in data engineering or analytics development, with demonstrated expertise in data mart architecture, design, and management.
- Strong proficiency in SQL with the ability to write complex queries, optimize performance, and work with large-scale datasets.
- Experience working at brokerage operations or financial services, with knowledge of accounting principles and market risk concepts (preferred).
- 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.
- Working knowledge of cloud infrastructure, particularly AWS services (S3, Redshift, Snowflake or equivalent).
- Proficiency in Python for data manipulation, automation, and scripting.
- Experience with version control systems, particularly Git and GitHub, including branching strategies, pull requests, and code reviews.
- Proven ability to translate complex business requirements into scalable, data-driven solutions.
- Strong data visualization skills with experience using tools such as Tableau, Looker, Power BI, or similar platforms.
- Understanding of analytics engineering principles and best practices for building maintainable, well-documented data models.
- Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders.
- Demonstrated ability to collaborate effectively with cross-functional teams, including finance, risk, and product teams.
What We Offer:
- Competitive salary: CA$151K - CA$189K per year.
- Equity compensation.
- Top-tier health benefits and life insurance.
- Long-term group savings with employer match, through Wealthsimple for Business.
- 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year.
- Opportunity to work remotely.