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Senior Engineer

Company Context

Alpari UK — a global FX trading firm operating in a tightly regulated, low-latency trading environment. Contract engagement, November 2011 to January 2012, London.

Summary

Delivered real-time risk, reporting, and process automation tools for a global FX trading firm. Operated across capital reporting, workflow orchestration, and CRM integration in a tightly regulated, low-latency trading environment.

Responsibilities

  • Built a Real-Time Capital Calculation Reporting system using Silverlight, MVVM, Reactive Extensions (Rx), and WCF Duplex Services, enabling immediate insight into client and firm risk exposure
  • Integrated long-running workflows in Windows Workflow Foundation (WF 4.0) with a customised SugarCRM instance to automate compliance hand-offs between departments (client services, finance, legal)
  • Developed a low-latency alerting engine with asynchronous messaging and parallel rule evaluation to notify risk managers of potential breaches or thresholds
  • Built a secure, self-service client portal enabling customers to manage their trading accounts across MT4, MT5, and Currenex platforms
  • Modelled data access and visibility through claims-based security, ensuring compliance with internal audit controls and FCA oversight
  • Introduced improved data handling strategies to reduce risk calculation lag and support high-volume peak-time reporting

Outcomes

  • Delivered real-time capital calculation reporting with immediate risk exposure visibility
  • Automated compliance hand-offs between client services, finance, and legal departments via CRM workflow integration
  • Enabled secure self-service account management for customers across multiple trading platforms

Reusable CV Bullets

  • Built a Real-Time Capital Calculation Reporting system using Silverlight, MVVM, Rx, and WCF Duplex Services for immediate client and firm risk exposure insight
  • Automated compliance hand-offs between departments by integrating WF 4.0 workflows with a customised SugarCRM instance
  • Developed a low-latency alerting engine with asynchronous messaging and parallel rule evaluation for risk threshold monitoring
  • Built a secure self-service client portal for trading account management across MT4, MT5, and Currenex platforms
  • Modelled data access through claims-based security, ensuring compliance with FCA oversight and internal audit controls
  • Reduced risk calculation lag through improved data handling strategies supporting high-volume peak-time reporting

Evidence / Source Notes

  • Source: verbose CV enrichment; reconciled with JobVia export (madu_alikor_export.json).
  • Confidence: medium — detailed role description from CV

Open Questions

  • Specific latency improvements or SLA metrics
  • Volume of trades or accounts managed through the portal