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Quantitative Trader

IO Tech Solutions Limited
Hong Kong Island, Hong Kong
On-site

About this role

Quantitative Trader

Overview

We are seeking a highly motivated Quantitative Trader to research, design, and execute systematic trading strategies. This role combines market expertise, quantitative research, and real-time decision-making to generate alpha while managing risk. The ideal candidate has strong analytical skills, financial knowledge, and experience working with quantitative models in live trading environments.

Key Responsibilities

  • Research and develop quantitative trading strategies across multiple asset classes.

  • Analyze large datasets to identify market inefficiencies and trading opportunities.

  • Conduct backtesting, simulation, and performance evaluation of strategies.

  • Execute and monitor live trades, adjusting positions based on market conditions.

  • Collaborate with developers to implement strategies into production trading systems.

  • Manage risk exposure and ensure compliance with trading limits.

  • Continuously refine strategies through data-driven analysis and PnL attribution.

  • Stay informed on macroeconomic events, market structure changes, and regulatory updates.

Qualifications

  • Bachelors, Masters, or PhD in Mathematics, Physics, Computer Science, Engineering, Finance, or related quantitative field.

  • Strong background in statistics, probability, and financial mathematics.

  • Proficiency in Python, R, or MATLAB (C++ is a plus for low-latency environments).

  • Solid understanding of financial instruments (equities, futures, options, FX, fixed income).

  • Experience with backtesting, time-series analysis, and statistical modeling.

  • Ability to thrive in a high-pressure, fast-paced trading environment.

Nice-to-Have Skills:

  • Experience with machine learning or AI-driven trading models.

  • Knowledge of market microstructure and execution algorithms.

  • Familiarity with risk management, portfolio optimization, and transaction cost analysis.

  • Exposure to low-latency trading systems and order book analysis.

  • Experience with large-scale datasets and cloud-based computation

Required Skills

  • -Modeling
  • -Compliance
  • -Analysis
  • -Options
  • -Trading
  • -Physics
  • -Algorithms
  • -Decision-Making
  • -Analytical Skills
  • -Statistics
  • -Matlab
  • -R
  • -Optimization
  • -Developers
  • -Machine Learning
  • -Risk Management
  • -Mathematics
  • -C++
  • -Computer Science
  • -Research
  • -Finance
  • -Design
  • -Engineering
  • -Python
  • -Science
  • -Management

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