Low-Latency Quant Dev for HFT Strategies

The Corporate Institute

Hinoba-an

On-site

PHP 900,000 - 1,300,000

Full time

3 days ago
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Benefits offered by this job

Health covered
Annual offsites
Relocation support
Performance-based bonuses

Job summary

The Corporate Institute is seeking a highly skilled Quantitative Developer to own day-to-day operations for our high-frequency trading strategy. You will combine deep mathematical analysis with hands-on C++ development and rigorous performance optimization.

You will independently manage strategy execution and continuously improve latency and reliability. Ideal candidates have 2+ years in quantitative trading or related fields, expert C++ skills, and strong background in statistics, Linux, and

Qualifications

  • Bachelor’s degree in Mathematics, Computer Science, Statistics, or related quantitative field.
  • MS/PhD in quantitative discipline preferred.
  • Proven track record in developing low-latency C++ systems is essential.

Responsibilities

  • Manage daily operation and monitoring of high-frequency trading strategies.
  • Ensure smooth execution across trading sessions with starts/stops and intraday adjustments.
  • Monitor real-time performance metrics and respond to anomalies.
  • Maintain and optimize existing C++ codebase for strategy implementation.
  • Design and implement A/B tests for strategy improvements.
  • Build reporting dashboards for performance attribution.

Skills

C++ (low-latency)
Multithreading
Linux systems
Python (pandas, numpy)
Trading systems knowledge

Education

Bachelor’s degree in Mathematics, CS, Stats
MS/PhD preferred

Tools

Exchange APIs
Market data feeds
Backtesting tools

Job description

The Corporate Institute is seeking a highly skilled Quantitative Developer to own day-to-day operations for our high-frequency trading strategy. You will combine deep mathematical analysis with hands-on C++ development and rigorous performance optimization.

You will independently manage strategy execution and continuously improve latency and reliability. Ideal candidates have 2+ years in quantitative trading or related fields, expert C++ skills, and strong background in statistics, Linux, and

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