Crypto Quant Trader - Auto Trading, Multi-Venue Strategies

Caladan Group; Singapore; On-site; SGD 180,000 - 320,000; Full time

Benefits offered by this job

Daily catered lunch

Health insurance and wellness benefits

Unlimited vacation policy

Participation in bonus pool

Job summary

Caladan Group seeks a Quant Trader to design, implement and manage systematic trading strategies across digital asset markets. You will work with trading, research and technology teams to identify alpha opportunities, refine pricing and execution models, and manage risk across the firm's portfolio.

Ideal candidates have a background in mathematics, CS or engineering, with experience in high-frequency or proprietary trading in crypto markets and a process-oriented mindset.

Qualifications

• Academic background in Mathematics, Computer Science, Engineering or related field.
• Experience in high-frequency or proprietary trading, especially in crypto markets.
• Expertise designing automated trading strategies and multi-venue execution.
• Process-oriented with ability to refine research processes.

Responsibilities

• Deploy and refine quantitative trading strategies across a multi-venue, multi-asset portfolio.
• Monitor live strategy performance and adjust parameters in response to market conditions.
• Collaborate with engineering to improve execution infrastructure and connectivity.
• Research market microstructure, liquidity dynamics, and pricing inefficiencies.
• Manage position and risk limits per firm-wide risk policy.

Skills

High-frequency trading

Crypto markets

Automated strategies

Execution optimization

Education

Bachelor's degree in Mathematics, Computer Science, or Engineering

Job description

Caladan Group seeks a Quant Trader to design, implement and manage systematic trading strategies across digital asset markets. You will work with trading, research and technology teams to identify alpha opportunities, refine pricing and execution models, and manage risk across the firm's portfolio.

Ideal candidates have a background in mathematics, CS or engineering, with experience in high-frequency or proprietary trading in crypto markets and a process-oriented mindset.