Quantitative Strategy Analyst (Cryptocurrency)
CoinWorldCapGreater Kuala Lumpur
Type
Full-time
Work setup
On-site
Experience
Mid
Posted
Today
What research roles in crypto pay
25 salaries · our own dataMost research roles in crypto pay between $102k and $213k, with a median of $136k.
As a Quantitative Strategy Analyst at CoinWorldCap, you design, model, and build next-generation systematic trading strategies across cryptocurrency markets on centralized exchanges (CEXs) and decentralized exchanges (DEXs). This role combines market microstructure research with high-performance Web3 execution infrastructure. You actively explore trading signals in cryptocurrency spot, perpetual, and options markets, and leverage LLM programming agents to deploy strategies directly into production-ready execution flows.
What you'll do
- Research, design, and backtest systematic trading strategies including market-making, arbitrage, and momentum models for cryptocurrency spot, perpetual, and options markets
- Transform your quantitative models directly into production-ready backtesting suites and real-time trading execution logic for major CEXs and DEXs
- Optimize high-throughput data pipelines, order routing systems, and WebSocket/FIX connection handling to manage the extreme volatility and high concurrency of the cryptocurrency market
- Build workflows for smart contract interactions, MEV protection mechanisms, and liquidity provisioning for on-chain decentralized exchanges (DEXs) and options protocols
- Develop robust real-time risk control metrics and automated liquidation and hedging frameworks to ensure fund security in decentralized cryptocurrency trading venues
What you bring
- Deep understanding of cryptocurrency market microstructure, funding rate mechanisms, derivatives pricing models, and DEX liquidity pool (AMM) dynamics
- Proficiency in advanced coding with the ability to write robust production-grade backtesting frameworks and real-time execution engines from scratch
- Proficiency in Golang, Python, or Node.js, capable of implementing concurrent, high-throughput, and asynchronous trading services
- Proficiency in relational databases (MySQL, PostgreSQL), NoSQL (Redis), and specialized time-series databases for handling high-frequency financial data (ClickHouse, InfluxDB)
- Proficiency in using LLM programming agents such as Codex and Claude Code to accelerate code compilation, strategy building, and infrastructure optimization
- A strong sense of ownership, proactively building trading hypotheses from scratch to ultimately automate live trading deployments
- Fluency in English and Mandarin to enable smooth cross-departmental communication and collaborative algorithm development
Nice to have
- Practical experience in cross-exchange margin management, delta hedging strategies, or complex multi-leg option combinations in the cryptocurrency field
Context for this role
From the live jobs we track on CryptoJobsHQ, updated daily.
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