T

LR8W4V6X

icon building Company : Ttukoffer
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Number of Applicants

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Job Description - LR8W4V6X

  • Location: East of England
  • Compensation: Competitive package

Job Highlights

  • Pioneer cutting-edge quant strategies in the dynamic digital assets space.
  • Work with massive datasets (on-chain, order books, pricing) to drive actionable insights.
  • Collaborate with a high-caliber team to deploy and optimize algorithmic trading systems.
  • Direct impact on risk-managed trading performance in fast-evolving markets.

Key Responsibilities

  • Source, clean, and analyze digital assets data using Python/R/C++ and proprietary tools.
  • Develop ML/statistical models for price prediction, arbitrage, and risk mitigation.
  • Backtest and refine trading strategies under live market conditions.
  • Implement real-time monitoring systems for strategy performance and risk thresholds.
  • Research emerging blockchain technologies and regulatory shifts to inform strategy.

Must-Have Requirements

  • STEM/Quant degree (Finance, Math, CS, Physics) from a top-tier university.
  • 5+ years hands-on experience in quant trading/research, preferably in digital assets/Web3.
  • Mastery of Python, C++, and data analysis libraries (Pandas, NumPy, TensorFlow).
  • Proven track record in linear arbitrage and strategy backtesting.
  • Mandarin fluency preferred; appetite for high-pressure, detail-driven environments.

How to Apply?

Click 'Apply' or send your resume to [[email protected]] with the subject line [Apply to WBLR8W4V6X]. Refer a friend for this role and earn up to £500 in referral bonuses! See details https://ttukoffer.co.uk/refer-a-friend-bonus/

量化研究员(数字资产方向)

  • 工作地点: 东英格兰
  • 薪资范围: 有竞争力的薪资

职位亮点

  • 参与前沿数字资产量化策略开发,直面行业高增长领域。
  • 处理海量链上/市场数据,构建高价值交易模型。
  • 与顶尖团队协作,实战优化算法交易系统。
  • 直接影响风险可控的交易决策,快速响应市场变化。

核心职责

  • 使用Python/R/C++清洗、分析数字资产市场数据(价格/订单簿/链上数据)。
  • 开发机器学习/统计模型,用于价格预测、套利及风险管理。
  • 对交易策略进行历史回测及实时市场调优。
  • 设计实时监控系统,跟踪策略表现与风险阈值。
  • 研究区块链技术趋势及监管政策,指导策略迭代。

硬性要求

  • 顶尖院校理工/量化专业背景(金融、数学、计算机、物理等)。
  • 5年以上量化交易/研究经验,数字资产/Web3领域优先。
  • 精通Python、C++及数据分析库(Pandas、NumPy、TensorFlow)。
  • 具备线性套利策略开发及回测经验。
  • 普通话流利者优先;适应高强度、高精度工作环境。

如何申请?

点击'Apply'申请或发送简历至[[email protected]],邮件标题注明[申请 WBLR8W4V6X]。推荐奖金:成功推荐人选可获得500英镑奖励。详情:https://ttukoffer.co.uk/refer-a-friend-bonus/

By applying, you acknowledge that TT UKoffer Ltd may process your personal data for recruitment purposes under the lawful basis of legitimate interest. This includes sharing your CV with potential employers. We comply with UK GDPR regulations, and you may request data removal at any time by contacting [email protected]

Original job LR8W4V6X posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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