Software Engineer, Financial Platforms

A global investment management organization is seeking a Software Engineer to join a technology-focused team supporting critical business applications, data processes, and analytical tools. This individual will work across software development, automation, and data initiatives, partnering with business users to improve workflows, deliver new capabilities, and enhance operational efficiency. The role is ideal for someone who enjoys building scalable applications, working with large datasets, and solving complex business problems through technology. Team members have the opportunity to contribute across the full development lifecycle, from requirements gathering and design through implementation and ongoing enhancement. What You'll Be Working OnDevelop and maintain internally-facing software applications and data solutions. Create tools that improve business processes, reporting, and decision-making. Build integrations between various data sources, platforms, and internal systems. Automate manual workflows and enhance operational efficiency. Support ongoing modernization efforts related to cloud infrastructure and data architecture. Work closely with end users to understand challenges and deliver practical technical solutions What They're Looking ForDegree in Computer Science, Engineering, Mathematics, Finance, or a related discipline. Professional experience developing software applications, analytical tools, or data-driven solutions. Strong programming skills, particularly with Python. Experience working with SQL and relational databases. Exposure to cloud environments, data pipelines, and application development best practices. Familiarity with Git and collaborative development workflows. Interest in financial services or data-intensive industries is a plus. Why It's Interesting Opportunity to join a growing business area with substantial investment in technology. High-impact work with direct visibility to key business stakeholders. Ability to work across software engineering, data, automation, and analytics initiatives. Lean team environment offering significant ownership and exposure. Competitive compensation and long-term growth potential.