Wealthsimple

Sr Analytics Developer, Finance, Brokerage & Market Risk

Wealthsimple • $110K — $130K *
US-AnywhereRemote in Canada
Finance & Insurance
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data engineering or analytics development
  • Strong proficiency in SQL for complex data manipulation
  • Experience in brokerage operations or financial services preferred
  • Hands-on experience with modern data pipeline tools like dbt or Airflow
  • Working knowledge of cloud infrastructure, especially AWS
  • Proficiency in Python for data automation and scripting
  • Strong data visualization skills using software like Tableau or Power BI
  • Excellent communication skills for technical discussions with non-technical stakeholders

Responsibilities

  • Own the finance and market risk data marts' development and maintenance
  • Design and document data pipelines for financial reporting
  • Build and maintain brokerage reporting systems ensuring data accuracy
  • Collaborate with stakeholders to support new financial product launches
  • Create dashboards for monitoring KPIs and profitability metrics
  • Provide business intelligence support for trade and collateral tracking
  • Translate business needs into scalable analytics solutions
  • Participate in code reviews and contribute to data engineering best practices
  • Mentor junior team members to enhance technical skills

Benefits

  • Opportunities for professional development and mentorship
  • Collaborative work environment with cross-functional teams
  • Exposure to innovative financial product initiatives
  • Chance to work with modern data engineering tools and technologies
  • Environment focused on performance optimization and data quality
Full Job Description
In this role, you will have the opportunity to:
  • 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


What you bring:
  • 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


About Wealthsimple

Wealthsimple is a financial services company that provides online investment management and trading services. The company's platform allows users to invest in a variety of financial products, including stocks, bonds, and exchange-traded funds (ETFs), and offers a range of tools and resources to help users manage their investments. Wealthsimple also offers a high-interest savings account and a tax preparation service. The company was founded in 2014 and is headquartered in Toronto, Canada.
Learn more about Wealthsimple
Size
500 employees
Industry
Finance & Insurance
Founded
2014
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at Wealthsimple

More Finance & Insurance Jobs

Find similar Sr Analytics Developer, Finance, Brokerage & Market Risk jobs:

NationwideRemote