Edward-Matei Gheorghe
I am a senior software engineer with 7+ years of experience delivering high-performance trading, risk management, and financial data systems in front-office and regulated environments.
About
I am a senior software engineer with 7+ years of experience delivering high-performance trading, risk management, and financial data systems in front-office and regulated environments. I specialize in Python and Java and design distributed microservice architectures to power real-time risk analytics, market data processing, and low-latency trade execution. I enjoy bridging business and technology, collaborating directly with traders, quants, and risk officers to reduce operational risk and accelerate decision-making.
I am currently relocating from the UK to Switzerland as an EU citizen with a valid permit. I look forward to contributing my cross-functional experience to dynamic teams and continuing to build robust, scalable financial systems in a local context.
- 8 years' experience
- Joined August 2025
Languages
- EnglishFluent
Industry experience
- Financial Services
- Software & Internet
- Professional Services
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Work experience· 35 roles
Optimized Java (Spring, Hibernate) backend services for an Automated Risk Management platform, reducing risk processing latency by 45% and enabling faster decision-making for high-volume betting operations. Maintained and extended the React-based frontend portal, improving accessibility of real-time odds, risk exposure, and settlement data for clients. Enhanced Kafka-based microservice communication, increasing event throughput by 40% within an event-driven architecture. Delivered high-priority integrations for new client onboarding, contributing to £1.2M in additional annual revenue and expanding the company’s market footprint.
Led design and delivery of RACE, a stateless Python platform using FastAPI, Pandas, and NumPy to aggregate and snapshot real-time risk data for multi-asset trading desks. Reduced computation time by over 50% and accelerated trader decision-making. Architected migration from monolithic to microservices-based risk systems, cutting deployment cycles from 3 weeks to 3–4 days. Implemented scenario generation, historical data tracking, rule calculation calculators, and automated alerts, increasing risk event detection coverage by 30%. Managed infrastructure provisioning and CI/CD (AWS, Kubernetes, Jenkins), improving deployment reliability. Delivered UI enhancements (React, AgGrid) and supported RTR, a C# real-time stateful risk system, boosting risk control automation by 25%. Mentored junior engineers to uphold code quality and best practices.
Optimised Java (Spring, Hibernate) backend services for an automated risk management platform, reducing risk processing latency by 45% and enabling faster decision-making for high-volume betting operations. Maintained and extended the React-based frontend portal, improving accessibility of real-time odds, risk exposure, and settlement data for clients. Enhanced Kafka-based microservice communication, increasing event throughput by 40% within an event-driven architecture. Delivered high-priority integrations for new client onboarding, contributing to £1.2M in additional annual revenue.
Education· 7
Certifications and awards
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