Quantitative Trader

Venture Search; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Venture Search is partnering with a leading quantitative digital asset investment manager to appoint a Quantitative Trader for its Singapore office. You will take ownership of developing, deploying, and managing systematic trading strategies, with direct responsibility for capital allocation and performance across global markets.

In a collegiate, research-driven setting, you will collaborate with CIOs, researchers, and engineers to design, backtest, and deploy ideas, monitor live trades, and

Qualifications

• 2–3+ years of experience in quantitative trading or systematic investing.
• Proven experience developing alpha-generating strategies across crypto and liquid markets.
• Strong programming skills in Python and experience with large datasets.
• Ability to own and manage quantitative trading strategies independently.
• Knowledge of portfolio construction, execution, and risk management.

Responsibilities

• Research, develop, and manage systematic trading strategies across global digital asset markets.
• Generate quantitative alpha signals using market, alternative, and on-chain data.
• Manage your own capital and take ownership of strategy performance from research to live deployment.
• Design and improve backtesting frameworks to validate new investment ideas.
• Monitor live strategies, analyse performance, and optimize execution and portfolio returns.
• Work directly with the CIO on portfolio construction, risk management, and capital allocation.
• Collaborate closely with quantitative researchers and engineers to enhance research infrastructure and trading systems.
• Stay at the forefront of developments in digital asset markets, quantitative investing, and market structure.

Skills

Python

Quant trading

Data analysis

Risk management

Backtesting

Portfolio construction

Job description

Venture Search is partnering with a leading quantitative digital asset investment manager to appoint a Quantitative Trader for its Singapore office.

The firm combines institutional investment expertise with cutting-edge quantitative research to develop systematic, market-taking strategies across global digital asset markets. With a strong emphasis on technology, data, and scientific research, the team is made up of experienced professionals from leading quantitative hedge funds and investment firms.

The Role

This is an opportunity to report directly to the CIO in a highly collaborative, research-driven environment. You'll take ownership of developing, deploying, and managing your own systematic trading strategies, with direct responsibility for capital allocation and investment performance.

The firm operates a market-taking, alpha-driven investment approach.

Responsibilities

• Research, develop, and manage systematic trading strategies across global digital asset markets.
• Generate quantitative alpha signals using market, alternative, and on-chain data.
• Manage your own capital and take ownership of strategy performance from research through to live deployment.
• Design and improve backtesting frameworks to validate new investment ideas.
• Monitor live strategies, analyse performance, and continuously optimise execution and portfolio returns.
• Work directly with the CIO on portfolio construction, risk management, and capital allocation.
• Collaborate closely with quantitative researchers and engineers to enhance research infrastructure and trading systems.
• Stay at the forefront of developments in digital asset markets, quantitative investing, and market structure.

Requirements

• 2–3+ years of experience in quantitative trading, systematic investing, within a hedge fund, proprietary trading firm, or asset manager.
• Proven experience developing systematic, alpha-generating derivative strategies across crypto, equities, futures, FX, fixed income, or other liquid markets.
• Strong programming skills in Python.
• Excellent statistical, mathematical, and analytical skills, with experience working with large datasets.
• Demonstrated ability to independently own and manage quantitative trading strategies.
• Strong understanding of systematic portfolio construction, execution, and risk management.
• Prior digital asset experience is advantageous but not essential for candidates with transferable quantitative trading experience.