Senior HFT Trader & Portfolio Manager

Grasshopper

Singapore

On-site

SGD 350,000 - 700,000

Full time

14 days+

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Benefits offered by this job

21 days annual leave
Insurance package
Gym membership
Dental & Wellness budget
Well stocked pantry

Job summary

Grasshopper, a Singapore-based quantitative trading technology provider and holding company of Grasshopper Asset Management, is expanding and seeking Senior HFT Traders or Portfolio Managers to drive Asia trading operations. You will apply high-frequency or intraday strategies, optimize algorithms, and collaborate with trading, research, and tech teams.

The role requires a proven track record with significant P&L, deep market knowledge, and strong quantitative skills.

Qualifications

  • Proven HFT or portfolio management track record with P&L > USD 5mm/year.
  • Own or operate successful alphas/strategies and willing to migrate to Grasshopper.
  • Experience trading in multiple markets (Japan, Singapore, USA, etc.).
  • Strong quantitative and analytical skills; able to use data/models for decisions.
  • Bachelor’s or Master’s degree in Finance, Economics, Mathematics, CS or related field.

Responsibilities

  • Develop and execute high-frequency or intraday trading strategies.
  • Manage and optimize trading algorithms and systems using quantitative analysis.
  • Collaborate with trading, research, and technology teams to refine models.
  • Monitor market conditions and adjust strategies to stay ahead of trends.
  • Ensure regulatory compliance and risk management best practices.

Skills

High-frequency trading experience
Portfolio management
Quantitative/analytical skills
Communication skills

Education

Bachelor’s or Master’s degree in Finance/Economics/Mathematics/CS

Tools

Trading platforms/market data tech

Job description

Grasshopper, a Singapore-based quantitative trading technology provider and holding company of Grasshopper Asset Management, is expanding and seeking Senior HFT Traders or Portfolio Managers to drive Asia trading operations. You will apply high-frequency or intraday strategies, optimize algorithms, and collaborate with trading, research, and tech teams.

The role requires a proven track record with significant P&L, deep market knowledge, and strong quantitative skills.

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