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Quantitative Traders

SNAP INNOVATIONS PTE. LTD.

Singapore

On-site

SGD 60,000 - 80,000

Full time

2 days ago
Be an early applicant

Job summary

A leading financial technology firm in Singapore is seeking a Foreign Exchange Trader to establish and manage an independent trading desk. The ideal candidate will have experience in algorithmic trading or traditional trading methodologies, as well as proficiency in programming and quantitative analysis. This role offers unlimited performance-based compensation and the opportunity to scale personal trading strategies within a supportive environment.

Benefits

Unlimited performance-based compensation
Access to low-latency infrastructure
Long-term career growth

Qualifications

  • Minimum 2 years of live trading experience in Equities, Futures, FX, Commodities, or Options.
  • Demonstrated ability to build, test, and deploy trading algorithms.
  • Proven track record of profitability and disciplined risk management.

Responsibilities

  • Launch and operate an independent trading desk backed by Quant Matter.
  • Research, develop, and implement alpha-generating strategies.
  • Conduct rigorous quantitative analysis to identify trading opportunities.

Skills

Quantitative modeling
Statistical analysis
Problem-solving
Programming in Python
Adaptability to market conditions

Education

Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, Finance

Tools

MATLAB
C++
Java

Job description

About Snap Innovations

We are seeking an ambitious and self-driven Foreign Exchange Trader to establish and manage their own trading desk. This role is ideal for algorithmic traders, but experienced traders without coding skills will also be considered. You must have your own trading strategies

Key Responsibilities

  • Launch and operate an independent trading desk backed by Quant Matter.
  • Research, develop, and implement alpha-generating strategies across global financial markets.
  • Conduct rigorous quantitative analysis to identify high-probability trading opportunities.
  • Back test and optimize strategies using robust statistical and computational techniques.
  • Monitor market conditions and macroeconomic factors to refine positioning.
  • Apply comprehensive risk management to preserve capital and minimize drawdowns.
  • Work closely with internal teams to improve execution infrastructure and scale strategies.

Requirements

  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, Finance, or a related field (others considered based on experience).
  • Minimum 2 years of live trading experience in Equities, Futures, FX, Commodities, or Options.
  • Preferably 3+ years of exposure to global financial markets (e.g., U.S., KRX, JPX, ASX, SGX, SSE).
  • Proficiency in programming languages such as Python, C++, Java, or MATLAB.
  • Strong skills in quantitative modeling, statistical analysis, and problem-solving.
  • Demonstrated ability to build, test, and deploy trading algorithms.
  • Adaptability to changing market conditions and environments.
  • Proven track record of profitability and disciplined risk management.
  • Self-starter with an entrepreneurial mindset and a passion for markets.
  • Must have his/her own strategy

Bonus Points For

  • Experience with high-frequency trading (HFT) strategies
  • Expertise in risk management and execution systems
  • Track record in building and scaling trading strategies

What We Offer

  • Unlimited performance-based compensation with full P&L ownership.
  • The opportunity to build and scale your own desk with institutional-grade support.
  • Access to low-latency infrastructure, real-time data, and advanced research tools.
  • A collaborative and performance-driven culture.
  • Flexibility and autonomy in strategy development and execution.
  • A base in Singapore — one of the world’s premier financial hubs.
  • Long-term career growth in a forward-thinking, innovation-led firm.

If you are a motivated quant trader with a proven track record and an entrepreneurial spirit, we want to hear from you!

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