Senior Data Scientist (Finance, Brokerage & Market Risk)

Join Wealthsimple, a leading financial technology company, as a Senior Data Scientist in the Finance, Brokerage, and Market Risk Data Science team. In this role, you will have a significant impact on strategic financial planning and market risk management. You will own the development and maintenance of finance and market risk data marts, design and build data pipelines, and create insightful dashboards. You will also mentor junior team members and contribute to best practices for data engineering and analytics development.

- Développer et maintenir les data marts financiers et de gestion des risques de marché, en optimisant la performance, la qualité des données, la fiabilité et l'efficacité. - Concevoir, construire et documenter des pipelines de données robustes qui génèrent des rapports financiers critiques et des indicateurs pour les parties prenantes. - Collaborer étroitement avec les parties prenantes commerciales dans le domaine de la courtage et des risques de marché pour lancer et soutenir de nouveaux produits financiers.

- Hands-on experience building and orchestrating data pipelines using modern tools such as dbt, Airflow, or similar workflow management platforms - 5+ years of experience in data engineering or analytics development, with demonstrated expertise in data mart architecture, design, and management - Experience with version control systems, particularly Git and GitHub, including branching strategies, pull requests, and code reviews - 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 - Working knowledge of cloud infrastructure, particularly AWS services (S3, Redshift, Snowflake or equivalent) - Familiarity with regulatory reporting requirements and financial product structures (a plus) - 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) - Strong proficiency in SQL with the ability to write complex queries, optimize performance, and work with large-scale datasets - Strong data visualization skills with experience using tools such as Tableau, Looker, Power BI, or similar platforms - Proven ability to translate complex business requirements into scalable, data-driven solutions - Demonstrated ability to collaborate effectively with cross-functional teams, including finance, risk, and product teams