Quant Developer

2 weeks ago

Central Region, Singapore Private Advertiser Full time $70,000 - $120,000 per year

岗位职责 (Responsibilities)

  • 开发、测试并优化量化交易模型,进行统计研究和大规模市场数据分析。
  • 基于数据驱动的方法识别高概率交易机会,设计并验证交易策略。
  • 将研究成果工程化,实现自动化交易系统,并对接各类数字货币交易所 API(CEX/DEX)。
  • 优化和维护高性能量化交易平台,包括行情获取、订单执行和风控模块。
  • 提升系统的低延迟和高并发能力,保证实盘交易的稳定性与安全性。
  • 与研究员和交易员紧密协作,开展回测、参数优化及实盘监控。
  • 记录研究与开发过程,定期向团队汇报并展示成果。
  • 持续关注最新区块链技术与金融市场动态,推动交易工具与策略基础架构的迭代优化。

任职要求 (Requirements)

  • 计算机科学、软件工程、数学、统计学、金融工程等相关专业,本科及以上学历。
  • 至少 2 年量化研究、金融建模或交易系统开发相关经验。
  • 熟练掌握 Python / R / Matlab / C++ / Java / Go 中至少一种编程语言,具备良好的编程习惯。
  • 熟悉 数据结构与算法,具备高性能、低延迟系统开发经验。
  • 有使用回测框架(如 Backtrader、QuantConnect、Zipline)的经验。
  • 熟悉 交易所 API、WebSocket、RESTful,了解区块链生态与数字资产交易逻辑。
  • 扎实的统计学、数学或金融工程背景,熟悉金融市场(股票、衍生品、数字资产等)。
  • 具备较强的问题解决能力,能在高压环境下独立完成任务。
  • 优秀的团队合作精神和沟通能力,学习能力强。
  • 普通话流利,可与中文客户及团队高效沟通。
Responsibilities
  • Develop, test, and optimize quantitative trading models through statistical research and large-scale market data analysis.
  • Identify high-probability trading opportunities using data-driven approaches, design and validate trading strategies.
  • Implement research outcomes into automated trading systems running on both centralized (CEX) and decentralized (DEX) exchanges.
  • Optimize, and maintain high-performance trading platforms, including market data ingestion, order execution, and risk management modules.
  • Enhance low-latency and high-concurrency capabilities to ensure system stability and security in live trading.
  • Collaborate closely with researchers and traders on backtesting, parameter optimization, and live monitoring.
  • Document research and development processes, and present findings to the team.
  • Stay up to date with blockchain technologies and financial market developments, continuously improving trading tools and infrastructure.
Requirements
  • Bachelor's degree or above in Computer Science, Software Engineering, Mathematics, Statistics, Financial Engineering, or related fields.
  • Minimum 2 years of experience in quantitative research, financial modeling, or trading system development.
  • Proficient in at least one programming language: Python / R / Matlab / C++ / Java / Go, with solid coding practices.
  • Strong knowledge of data structures and algorithms, with experience in building high-performance, low-latency systems.
  • Experience with backtesting frameworks such as Backtrader, QuantConnect, or Zipline.
  • Familiarity with exchange APIs (REST/WebSocket) and an understanding of blockchain ecosystems and digital asset trading.
  • Strong foundation in statistics, mathematics, or financial engineering, with knowledge of financial markets (equities, derivatives, digital assets).
  • Excellent problem-solving skills and ability to work independently under pressure.
  • Strong teamwork and communication skills, with a fast learning curve.
  • Mandarin proficiency required for effective communication with Chinese clients and team members.

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