Quantitative Trader

Caladan; Singapore; On-site; SGD 180,000 - 420,000; Full time

Benefits offered by this job

Daily catered lunch

Health insurance and wellness benefits

Unlimited vacation policy

Participation in company bonus pool

Job summary

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

You will deploy and fine-tune strategies across a multi-venue portfolio, monitor live performance, and work with engineers to improve latency and connectivity.

Qualifications

• Academic background in Mathematics, Computer Science, Engineering, or related field.
• Experience in high-frequency or proprietary trading, especially crypto or digital assets.
• Expertise designing or supporting automated trading strategies, including multi-leg or cross-venue execution.
• Process-oriented mindset with focus on building and refining research processes and capabilities.
• Comfort operating in high-ambiguity environments with curiosity to iterate quickly.

Responsibilities

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

Skills

Mathematics

Computer Science

Engineering

Quantitative Trading

Education

Mathematics

Computer Science

Engineering

Job description

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

What You Will Be Doing

• Deploy and refine quantitative trading strategies across a multi-venue, multi-asset portfolio.
• Monitor live strategy performance and adjust parameters in response to changing market conditions.
• Collaborate with engineering teams to improve execution infrastructure, latency, and connectivity across a wide range of venues.
• Conduct research into market microstructure, liquidity dynamics, and pricing inefficiencies.
• Manage position and risk limits in line with firm-wide risk policy.

The Ideal Candidate

• An academic background in Mathematics, Computer Science, Engineering, or a related field.
• Experience in high-frequency or proprietary trading, especially in crypto or other digital asset markets.
• Expertise designing or supporting automated trading strategies, including multi-leg or cross-venue execution.
• A process-oriented mindset with a focus on building and refining research processes and capabilities.
• Comfort operating in high-ambiguity environments, with the curiosity and adaptability to iterate quickly.

Compensation & Benefits

• Competitive salary based on experience
• Participation in company bonus pool
• Daily catered lunch
• Health insurance and wellness benefits
• Unlimited vacation policy

About Caladan

Caladan brings rationality to strange and unruly markets. We explore the frontier of finance, seek out new opportunities, and make markets more efficient and honest wherever we go. We support exchanges, tokens, and institutional investors with on-exchange liquidity, DeFi expertise, treasury solutions, and investments. Since 2017 we've been a pioneer in crypto market-making, powering over $170B in annual transactions across 1000+ assets.