
HFT Crypto Quantitative Trader
2 days ago
Quantitative Trader – High-Frequency Strategies (DeFi/CeFi) – Relocation support
Overview
A leading proprietary trading firm specializing in digital assets is seeking an exceptional
Quantitative Trader
to join its high-frequency trading (HFT) team. The firm deploys cutting-edge strategies across centralized and decentralized venues, leveraging research, data, and infrastructure to capture opportunities in highly competitive markets. This role offers the chance to work in Singapore with relocation support, alongside a world-class team of traders, engineers, and researchers at the forefront of algorithmic crypto trading.
Key Responsibilities
Research, design, and implement
high-frequency trading strategies
across
CEXs and DEXs .
Deploy, optimize, and monitor trading algorithms to maximize performance while minimizing risk.
Continuously evaluate and refine existing strategies to maintain a competitive edge.
Leverage large datasets and advanced statistical techniques to identify alpha opportunities.
Collaborate with quant researchers and developers to enhance trading infrastructure and execution pipelines.
Proactively monitor risk, liquidity, and market conditions to ensure capital is allocated efficiently.
Requirements
Proven track record of
profitable trading strategies
in crypto or traditional HFT environments.
Demonstrated
Sharpe ratio >5
on deployed strategies.
Strong knowledge of
market microstructure , order book dynamics, and execution optimization.
Hands-on experience with trading on
CEXs
and/or
DEXs .
Advanced programming skills in
Python, C++, or Rust , with experience in production-level trading systems.
Solid quantitative background: statistics, applied mathematics, computer science, or related fields.
Highly driven, entrepreneurial, and comfortable operating in fast-moving, competitive markets.
Seniority level
Director
Employment type
Full-time
Job function
Other
References/mentions: referrals can increase interview chances; applicants in Singapore are encouraged to apply.
#J-18808-Ljbffr
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