Python Developer
Randstad Digital
Full Job Description
Number of openings: 1, 12-Month initial contract
Location: Toronto, ON (Hybrid – 3 days/week onsite)
Must be eligible to work in Canada
Roles and responsibilities:
We are seeking a
Senior Python Developer
with a strong background in Capital Markets to design, build, and optimize enterprise-grade services for
Capital, Prime Brokerage (PB), and Liquidity Risk (LCR)
reporting platforms. In this role, you will work closely with business users and cross-functional engineering teams to translate complex regulatory and risk requirements into robust technical solutions. Key Responsibilities
Design & Engineering:
Architect and implement high-performance Python services and automated data processing jobs integrated with enterprise job schedulers. Business Collaboration:
Partner directly with business stakeholders to refine requirements, map upstream/downstream data dependencies, and deliver scalable risk-reporting solutions. Database & Performance Optimization:
Write, tune, and optimize complex SQL Server (T-SQL) and MySQL queries to ensure seamless data flow and query performance. Production Support:
Troubleshoot production bottlenecks, ensure code quality via unit testing and logging, and support environment deployments. Must have skills/ experience/qualifications
Python Expertise:
Advanced hands-on experience in Python development within service-oriented architectures. Capital Markets Domain Knowledge:
Solid understanding of Capital Markets, specifically
Capital, PB, or Liquidity Risk (LCR) reporting
business logic. Database Skills:
Strong proficiency in SQL Server (T-SQL) performance tuning, indexing, and query optimization, along with MySQL experience. Data Processing & Pipelines:
Proven track record building and managing data pipelines, job scheduling, and handling complex data dependencies. Engineering Standards:
Experience with Git, Agile workflows, debugging production environments, and CI/CD release support. Nice to Have
Prior experience in regulatory reporting frameworks within large financial institutions.
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