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Open nowFirst seen 2 days ago

Quantitative Trader

IO TECH SOLUTIONS LIMITED787 open roles

Where
Hong Kong Island, Hong Kong
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Your applicationOpen nowQuantitative TraderIO TECH SOLUTIONS LIMITED · Hong Kong Island, Hong Kong

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on IO TECH SOLUTIONS LIMITED's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

The posting

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
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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against IO TECH SOLUTIONS LIMITED's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on IO TECH SOLUTIONS LIMITED's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    IO TECH SOLUTIONS LIMITED's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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3×

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  • Who got the interview, and who heard nothing

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