Senior Software Engineer - Mercury Command
Remote in CanadaMercury
7+ YOECandidates need 7 or more years of software engineering experience, including scaled LLM-powered products in production. They also need agentic system design, eval infrastructure experience, and comfort with TypeScript and learning Haskell.
TypeScript, Haskell
Senior Product & Regulatory Counsel - Investment Products
Remote in CanadaMercury
6+ YOECandidates need 6+ years of legal experience, at least 2 in non-deposit investment products, and familiarity with the Investment Advisers Act, Securities Act, Investment Company Act, Regulation Best Interest, Form CRS/ADV and FINRA rules. Strong communication skills, ownership, and working knowledge of AI in legal workflows are required.
AI tools for legal workflows
Senior Data Scientist - Risk ML
Remote in CanadaMercury
5+ YOECandidates need 5+ years analyzing large, messy datasets, including 3+ years of machine learning work. Strong SQL and Python, plus experience putting and monitoring models in production, are essential.
SQL, Python, dbt
Senior Data Analyst - Reconciliation
Remote in CanadaMercury
6+ YOECandidates need 6+ years of complex financial or transactional data experience in fintech or financial services. They need advanced SQL, knowledge of payment rails and card networks, strong investigative skills, and experience with BI dashboards and cross-functional leadership.
SQL, dbt, Blackline, Omni, Looker, Tableau
Senior Analytics Engineer
Remote in CanadaMercury
4+ YOEMercury needs 4+ years of analytics or data engineering experience, skill with SQL and Python, and experience with dimensional data modeling. Candidates should use AI agents to speed up their work and write readable, well-tested code.
dbt, Snowflake, Fivetran, Airflow, Omni, Hex
Lead Compliance Risk Manager, Product Compliance - AI
Remote in CanadaMercury
8+ YOECandidates need 8+ years in compliance advisory, product compliance or regulatory risk, ideally in fintech or financial services. Mercury wants knowledge of US banking regulation (UDAAP, ECOA, BSA/AML, GLBA), familiarity with AI frameworks such as NIST AI RMF, and technical fluency with AI model behaviour and data access controls.
Regulatory compliance, Documentation, Risk management, Liaise with auditors, Root cause analysis, Policy development