We are seeking a Quant Systems Engineer with a strong Computer Science background and deep expertise in C++ to build, optimize, and maintain our proprietary quantitative trading infrastructure. You will work directly with our quant researchers and data engineers to design high-performance systems for backtesting, execution, and real-time data processing.
This is a core engineering role within a next-generation AI-driven quant fund — ideal for developers passionate about performance, systems architecture, and bridging research with live trading.
Key Responsibilities
Develop and maintain C++ backtesting and live trading engines with an emphasis on speed, accuracy, and robustness.
Build low-latency data ingestion, event handling, and execution pipelines for equities and other asset classes.
Implement and optimize multi-threaded, memory-efficient systems for real-time processing of market data.
Collaborate with the quant team to integrate strategy logic, factor generation modules, and analytics layers.
Work closely with the data infrastructure team to design scalable interfaces between Python, C++, and ClickHouse/PostgreSQL layers.
Conduct profiling, performance tuning, and code optimization on critical trading components.
Develop tools for system monitoring, simulation diagnostics, and risk checks.
Requirements
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field.
Strong C++ development skills (C++17 or newer) with solid understanding of STL, templates, and memory management.
Experience with multi-threading, concurrency, and low-level system optimization.
Familiarity with Python for scripting or integration purposes.
Working knowledge of Linux systems, shell scripting, and version control (Git).
Experience with market data structures, FIX protocols, or trading APIs is a strong plus.
Bonus: exposure to Linux, ClickHouse, PostgreSQL, or Kafka, and interest in quantitative finance or algorithmic trading.
What You’ll Gain
Hands-on exposure to cutting-edge trading infrastructure powering real capital.
Opportunity to design systems used by AI-driven multi-agent research pipelines.
Experience in performance-critical C++ engineering in a real trading environment.
Direct mentorship from senior quant developers and fund technologists.
Kindly note that only shortlisted candidates will be notified.
Related Job Searches:
- Company:
Varsity Holdings - Designation:
Junior Quant Systems Engineer - Profession:
Engineering - Industry:
Finance - Location:
Central Area