Support the liquidation team on processing account debits.
Design and maintain SQL queries, dbt models, and analytical frameworks that provide reliable insights into delinquencies, reimbursements, and recovery rates across our products.
Develop dashboards and reports in tools like Preset, Metabase, or similar platforms that help stakeholders make informed decisions about risk management and operational priorities.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. They take financial services that are often confusing and expensive and make them transparent and low-cost for everyone. They're the largest fintech company in Canada, with 3+ million users who trust them with more than $100 billion in assets.
Design and build core analytical data models in BigQuery using dbt
Refactor and restructure existing models to improve clarity, consistency, and ease of use
Partner directly with solution teams to translate business needs into well-defined, reusable data models
Elastic is the Search AI Company and enables everyone to find the answers they need in real time, using all their data, at scale. Their Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI.
Apply advanced analytics techniques to solve complex business problems across finance and market risk domains.
Develop and maintain the finance data mart, with a focus on optimizing data quality, accessibility, and efficiency.
Create insightful dashboards to monitor financial KPIs, profitability metrics, and regulatory reporting requirements.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. They are the largest fintech company in Canada, with 3+ million users who trust them with more than $100 billion in assets.
Design, build, and maintain high-quality analytical data models that support core brokerage and ledger workflows.
Own critical datasets that power client-facing metrics, operational decision-making, and regulatory reporting.
Partner closely with product managers, engineers, operations, finance, compliance, and CX teams to understand stakeholder needs and translate them into durable data solutions.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, they take financial services that are often confusing and expensive and make them transparent and low-cost for everyone. They’re the largest fintech company in Canada, with 3+ million users who trust them with more than $100 billion in assets.
Be the dedicated data science partner to the Consolidation product team, owning the analytics and modeling that power product-led growth across onboarding, activation, and full consolidation.
Design and analyze rigorous product experiments across the client journey, from first funding through to full asset consolidation, using A/B testing, non-inferiority tests, and other causal inference methods to measure the impact of product changes on key growth metrics.
Develop deep product analytics to understand how clients move through the consolidation funnel, linking external accounts, reaching their first $5k, adopting multiple products, and identify where the biggest opportunities exist to accelerate that journey.
Wealthsimple helps everyone achieve financial freedom by reimagining what it means to manage your money. They are the largest fintech company in Canada, with 3+ million users who trust them with more than $100 billion in assets.
Complete exploratory data analysis and hypothesis testing.
Translate ambiguous business problems into clearly defined modeling challenges.
Design, build, and validate statistical, predictive, and machine learning models.
Buyers Edge Platform is revolutionizing the food service industry through technology, purchasing power and partnerships. They are one of the largest players in food service, with over 200K operator locations across North America and over $50 billion of aggregated spend volume.
Converting written instructions into program input.
Executing complex data extraction processes.
Providing data support to account and product teams.
S&P Global delivers essential intelligence that shapes decision-making, by providing the world’s leading organizations with the right data, connected technologies, and expertise to move ahead. They are a global organization with over 35,000 employees worldwide.
Define and govern enterprise data architecture standards.
Ensure interoperability and high data quality.
Drive innovation and strategic architecture direction.
Jobgether connects job seekers with partner companies through an AI-powered matching process. Their system quickly and fairly reviews applications against core requirements, ensuring top candidates are shared with hiring companies.
Own the data infrastructure and pipelines for business critical product and user data
Conceptualize and build best-in-class internal tools enabling others to increasingly self-serve data needs
Take an AI-first approach to scaling Runway’s data tooling and use.
Runway is building AI to simulate the world through merging art and science. They aspire to continuously build impossible things and their ability to do so relies on building an incredible team.