About the Role We’re looking for an APL Engineer to help support and enhance one of the industry’s most advanced managed accounts platforms. At InvestCloud , our technology underpins digital advice and operational workflows for many of the largest financial institutions in the US. Dyalog APL is the core part of our stack—powering key functionality in model management, trading, reconciliation, and performance. The backbone of the US wealth industry.

In this role, you’ll work alongside senior engineers to deliver production-grade code, improve quality across the codebase, and build features that directly impact advisors, clients, and operational teams. You’ll be contributing to the ongoing modernization of our APL systems while gaining exposure to critical investment processes including SMAs, UMAs, and private assets. This is a great opportunity for someone with solid APL experience and a passion for writing clean, maintainable code in a complex, high-value domain.

What You’ll Do Contribute to the development and maintenance of Dyalog APL components used in model management, trading, and operational workflows

Support refactoring and performance tuning efforts across existing APL systems

Work closely with product managers, QA, and senior engineers to deliver well-scoped business functionality

Assist in expanding automated test coverage and improving code quality

Help investigate and resolve production issues related to investment data, trading flows, and operational processing

Collaborate with teams integrating APL services into advisor tools, custodians, and alternative asset platforms What You Bring 3–6 years of software development experience, with at least 2+ years using Dyalog APL (or a similar APL dialect)

Exposure to financial services, ideally within managed accounts, trading, or portfolio operations

A clear, structured approach to writing APL code with an eye toward testability and maintainability

Some experience writing or maintaining unit and regression tests

Familiarity with Git, Jira, and basic CI practices

Strong communication skills and a willingness to learn from others and ask questions Nice to Have Exposure to SMAs, UMAs, or post-trade reconciliation processes

Experience working with model providers, custodians, or TAMPs

Comfort working alongside .NET, Python, SQL, or data integration layers

Understanding of Agile workflows (Scrum, Kanban)

Interest or experience in test-driven development (TDD/A-TDD), even in legacy contexts