Portfolio managers, traders, and risk analysts move billions through syndicated loan markets every day. Their order management system has to be fast, precise, and auditable down to the last allocation. You’re going to architect the UI that makes that possible.
Siepe’s Order Management Platform is the nerve center of our front office—real-time dashboards, full trade lifecycle tracking, live execution monitoring, flexible allocations with calculation audit trails, and deep integrations with liquidity providers. The private credit space is surging, the workflows are complex, and the engineers building this platform aren’t writing boilerplate. They’re designing solutions and directing AI to build them.
We don’t hire engineers to type code into an editor. We hire architects who describe the what, the why, and the how—and let AI handle the keystrokes.
In this role, you’ll own the Angular front-end of our Order Management system—the screens that traders and PMs live in all day. You’ll define the architecture, specify the behavior, set the quality bar, and direct AI to execute. Your craft is in the specification: clear component contracts, rich test scenarios, enforceable NFRs, and post-deployment validation that proves what shipped actually works under production load.
What You'll Do
- Describe trade workflows, dashboards, and allocation UIs with enough precision that AI delivers correct Angular components—validation, state, API integration—on the first pass.
- Define integrated test scenarios that go beyond happy paths: edge cases around partial fills, allocation splits, audit trail integrity, and real-time data races.
- Set non-functional requirements up front—response times on large order books, rendering thresholds for data grids, accessibility scores—and enforce them through automated checks.
- Own post-deployment validation: confirm that what shipped behaves correctly under real trade volume and real market data.
- Drive the AngularJS-to-Angular migration by decomposing the problem and directing AI through it systematically.
- Design high-signal trader experiences—real-time order dashboards, execution monitoring, bulk operations—where milliseconds and accuracy both matter.
- Architect data-dense UIs that handle large datasets gracefully: virtual scrolling, smart caching, the right loading strategy for each workflow.
- Integrate with .NET/C# backend APIs and SignalR for live data, with robust error handling and secure auth flows.
- Shape codebase conventions so AI produces better output over time: consistent component structure, standardized NgRx patterns, clear service boundaries.
What You'll Bring
You see a trade workflow and immediately start decomposing it—components, state flows, API contracts, test scenarios, performance targets—before anyone opens an IDE.
- Strong Angular and TypeScript experience building enterprise applications with complex business logic.
- You can spec a solution clearly enough—architecture, edge cases, NFRs, KPIs—that AI (or a junior engineer) could build it from your description alone.
- Practical NgRx and RxJS experience for managing complex, real-time UI state.
- You review AI output the way a tech lead reviews a pull request: fast, precise, and always thinking about what breaks downstream.
- Comfortable working with .NET/C# backends, SQL Server, and RESTful API patterns.
- Solid HTML, CSS/SCSS fundamentals with responsive and accessible design instincts.
- Financial services or investment management background—trade lifecycle, positions, financial instruments (loans, bonds, swaps).
- Experience with Trade Order Management Systems, FIX/SWIFT integrations, or Bloomberg AIM.
- You've built data-intensive UIs where accuracy, auditability, and performance are non-negotiable.
- Must have current and ongoing authorization to work in the country of employment without the need for visa sponsorship, now or in the future.
