About this role
Senior Full Stack Developer - Portfolio Management System
We are seeking an experienced Software Developer to help modernize a mission-critical Portfolio Management System (PMS) used by investment professionals across front-office investment functions.
The successful candidate will play a key role in transforming a mature WPF-based desktop platform into a modern, scalable, high-performance application ecosystem. The work includes UI modernization, platform upgrades, API development, performance optimization, architecture simplification, technical debt reduction, and AI-enabled user experiences.
This role is well suited to an engineer with experience in buy-side portfolio, order, execution, risk, or investment analytics platforms who is comfortable working across desktop, web, service, integration, and data layers.
Responsibilities
Key Responsibilities
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Application Modernization
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Upgrade and modernize existing .NET, WPF, and DevExpress applications.
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Refactor legacy components, reduce technical debt, and improve maintainability.
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Improve the application user experience while preserving critical front-office workflows.
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Contribute to target architecture decisions and phased modernization plans.
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Performance Engineering
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Investigate and resolve application freezing, slow response times, memory leaks, and crashes.
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Profile and optimize desktop, server-side, database, and integration components.
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Improve data loading, caching, processing, and resource-management patterns.
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Implement appropriate diagnostics, logging, health monitoring, and performance measures.
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Architecture Simplification
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Reduce reliance on legacy SOA, middleware, and tightly coupled dependencies.
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Design simpler service-oriented and API-first components.
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Support migration toward modular, scalable, and supportable architecture patterns.
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Assess MongoDB dependencies and recommend pragmatic simplification or replacement approaches.
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API and Integration Development
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Design and build secure RESTful APIs for PMS data access.
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Develop integrations with trading, risk, reporting, analytics, and downstream systems.
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Implement authentication, authorization, validation, auditing, observability, and error handling.
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Produce clear API specifications and technical documentation.
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AI Enablement
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Build an AI-powered prompt/chat experience within the PMS.
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Integrate enterprise Large Language Models and approved AI services.
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Develop prompt orchestration, tool-calling, retrieval, guardrails, and workflow automation capabilities.
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Partner with investment users to identify and deliver high-value, controlled AI use cases.
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Web and Desktop Delivery
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Maintain and enhance rich desktop capabilities while introducing web-based applications where appropriate.
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Deliver across frontend, backend, service, integration, and data layers.
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Apply automated testing, code review, secure development, and CI/CD practices.
Skills
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Must have
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10+ years of professional software engineering experience delivering enterprise applications.
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Strong C# and .NET experience, including legacy .NET Framework and modern .NET versions.
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Deep experience with WPF, XAML, MVVM, desktop application architecture, and multithreading.
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Buy-side investment technology experience, particularly in one or more of the following areas: Portfolio Management Systems (PMS) , Order Management Systems (OMS), Execution Management Systems (EMS), Front-office trading applications, Fixed income, equities, FX, derivatives, swaps, options, TRS, or CDS workflows
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Hands-on DevExpress experience, including complex grids and performance-sensitive user interfaces.
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Experience designing and implementing RESTful APIs using ASP.NET Core or equivalent technologies.
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Python development experience for services, automation, analytics, or AI-related components.
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Strong SQL Server development and performance-tuning skills.
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Experience creating both web-based applications and rich desktop/fat-client applications.
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Practical expertise in profiling, diagnostics, memory management, performance tuning, and production troubleshooting.
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Experience with Git, automated testing, CI/CD, and Azure DevOps or similar engineering platforms.
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Nice to have
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React, Angular, or comparable modern web framework experience.
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MongoDB and data-access modernization experience.
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Microservices, modular monolith, event-driven, or message-based architecture experience.
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Microsoft Azure, containerization, Kubernetes, and enterprise API management experience.
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Experience integrating LLMs, AI assistants, retrieval-augmented generation, tool-calling, or enterprise AI gateways.
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Familiarity with application security, data entitlements, auditability, and regulated environments.
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Other
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Languages
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English: C1 Advanced
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Seniority
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Lead