Sahil Jain

Product Engineer

United Kingdom4 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in low-latency trading systems development.
Strong background in quantitative finance and system optimization.
Proficient in C++ and Python for trading applications.

Stackforce AI infers this person is a Fintech expert specializing in low-latency trading systems and quantitative analysis.

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Skills

Core Skills

Low Latency TradingC++System Performance

Other Skills

AlgorithmsAnalytical SkillsApplied Machine LearningAttention to DetailBashBash ScriptingBitbucketBoost C++C (Programming Language)CommunicationData AnalysisData StructuresDeep LearningDesign PatternsExchange Connectivity

About

- Quantitative Technologist at Qube-RT, London, specializing in low-latency trading systems for global markets. - Proficient in C++ programming language, leveraging it extensively for low latency trading system development and optimization. - Completed Master's in Computer Science from IIT Kharagpur.

Experience

4 yrs

Total Experience

4 yrs

Average Tenure

4 yrs

Current Experience

Qube research & technologies

2 roles

Quantitative Technologist

Sep 2025 – Present · 9 mos · On-site

Quantitative Technologist

Jun 2022 – Sep 2025 · 3 yrs 3 mos · On-site

Developed and optimized low-latency market access systems for global trading, enhancing performance and reliability.
Conducted comprehensive gap analyses during exchange upgrades, improving system reliability and external communications.
Created exchange-specific trading simulators, allowing traders to backtest strategies with realistic random fill rates, leading to more informed trading decisions.

Low Latency TradingMarket Access SystemsSystem ReliabilityTrading SimulatorsC++