Job Description
Transparency Pricing & Risk Developer
Location
London, UK
Business Unit: Transparency Pricing, Global Market IT
Business Context
The Transparency team is a Front Office development team responsible for the development of cross-asset
automated pricing and risk systems, primarily focused on FICC derivatives. The team works directly with
global sales/trading/quant teams on the development of applications incorporating pricing and risk models
used for electronic trading. These applications are used globally by Front Office sales and traders and are
critical to trading activities. This is a global team with engineers in Toronto, London, New York and
Singapore.
Technology Stack:
• Java 17+/Python 3+
• Solace messaging
• Hazelcast distributed computing
• ZeroMQ for remote socket communication
• Google Protocol Buffers/JSON/SBE for serialization
• Graphite and Grafana for metrics
• RHEL Linux 8+
Position Overview
Looking for a senior-level software engineer in London, UK to join the core pricing/risk services
development team.
Essentials:
• 8+ years’ experience as a software engineer delivering FO pricing/trading/risk solutions
• Experience working with sales/trading/quant teams on pricing/risk model implementations
• Experience working with eTrading/infrastructure teams on model output distribution
• 8+ years’ strong Core Java (JDK 11+)
• 4+ years’ strong Python with enterprise development experience
• Experience developing high-performance event-driven messaging systems
• Experience implementing automated unit + regression tests in CI/CD
• Strong multi-threaded programming knowledge
Highly Desirable:
• Strong knowledge of Interest Rate Swap products (FRA/IRS/XCCY)
• Experience with Bloomberg APIs (e.g., BPIPE, SAPI, DAPI)
• Experience with Java performance testing
• JavaScript + React experience
The Ideal Candidate Will Also:
• Lead technical design with focus on efficiency, scalability, security
• Provide technical expertise aligned with enterprise standards
• Support and guide teammates on technical implementations
• Manage multiple projects concurrently
• Be familiar with Agile and SDLC processes
Education & Accreditation
• Degree in Computer Science, Engineering, Mathematics, or related numerical field