CFD量化风控专家（HK/MY）

About us

Bitget is one of the world's leading digital assets ecosystems. With over 120 million registered users, Bitget has one of the most comprehensive suites of blockchain products and services available via bitget.com.

Our mission is to support the growth of the digital assets industry and we believe it represents the future of finance. What we do empowers the future of finance by ensuring secure, efficient and smart digital transactions.

We are one of the fastest growing companies in the digital asset sector. If you are looking for cutting-edge work, where you will have opportunities to develop your career among peers who are experts in their field, and you believe in the future of digital currency, then look no further than Bitget!

What you'll do

1. User Profiling Feature Engineering & Quantitative Client Segmentation Modeling

• Feature Mining: Extract and construct a quantitative feature library reflecting clients' trading habits, risk exposures, and profitability from massive, high-frequency Tick data and user behavior data (e.g., capital utilization rates, overnight position preferences, dynamic win rates, Sharpe ratios, slippage sensitivity, etc.).
• Effectiveness Evaluation & Selection: Establish a rigorous feature validation framework (e.g., IV/WOE analysis, T-tests/hypothesis testing, correlation analysis, SHAP values for feature importance, etc.) to eliminate noisy factors.
• Anti-Overfitting & Data Leakage Prevention: Ensure the decay rate of features in out-of-sample and live trading environments remains controllable; strictly prevent look-ahead bias (future functions) to guarantee model robustness and generalizability.
• Client Segmentation & Flow Routing: Build machine learning or statistical models to accurately identify "toxic flow" versus standard retail flow. Provide quantitative decision support for the A/B Book hedging and routing engine to maximize revenue and minimize risk.

2. Risk Control Algorithm Design & Hedging Strategies

• Dynamic Margin & Liquidation Algorithms: Optimize the platform's dynamic leverage rules and tiered maintenance margin models to effectively mitigate negative equity/runaway loss risks under extreme market conditions.
• Risk Exposure & VaR Models: Establish a real-time risk exposure monitoring system for multi-asset classes (Forex, Commodities, Indices, and other CFDs); develop quantitative models for VaR (Value at Risk) and stress testing.
• Anomalous Trading & Fraud Detection: Design anti-abuse/anti-cheating algorithms to identify and block illicit or disruptive trading behaviors in real time, such as latency arbitrage, high-frequency scalping, and market manipulation.
• Automated Hedging Strategy Development: Assist in designing internal risk hedging models for B-Book and automated external routing (Straight-Through Processing/STP) algorithms for C-Book (hybrid models).

3. Engineering Implementation & System Iteration

• Collaborate closely with data engineering and backend development teams to translate quantitative models into production-ready, executable code within low-latency environments.
• Continuously track the on-live performance of models (analyzing backtest vs. production variance) to iterate and fine-tune algorithms.

What you'll need

1. Educational Background

• Bachelor’s degree or above from a top-tier university (985/211 or equivalent global ranking); major in Mathematics, Statistics, Financial Engineering, Computer Science, Physics, or related quantitative/STEM disciplines.

2. Professional Experience

• 1–3 years of experience in quantitative risk control, algorithmic trading, or data science within the financial industry; backgrounds in Forex or CFD derivatives trading platforms are highly preferred.

3. Core Skills

• Technical Proficiency: Expert-level command of Python (including Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, etc.) and SQL.
• Analytical Foundation: Solid expertise in machine learning, statistical analysis, and financial time-series analysis.

4. Business Acumen

• Deep understanding of derivatives pricing, margin mechanisms, Greeks, and VaR models.
• Familiarity with Market Maker mechanisms, A/B Book risk management logic, and Liquidity Provider (LP) integration principles.

5. Soft Skills

• Highly sensitive to data; possesses outstanding logical thinking, structured problem-solving capabilities, and excellent cross-departmental communication and collaboration skills.

Plus Points

• Familiarity with the backend architecture and underlying logic of mainstream trading platforms such as MT4, MT5, or cTrader.
• Prior experience in a similar core role at a top-tier global CFD broker (e.g., IG, CMC Markets, Exness, etc.).
• Hands-on experience in processing High-Frequency Trading (HFT) datasets.

岗位职责：

用户画像特征工程与用户分层量化建模

• 特征挖掘： 从海量高频Tick数据及用户行为数据中，挖掘并构建反映客户交易习惯、风险敞口和盈利能力的量化特征库（如资金利用率、隔夜持仓偏好、动态胜率、夏普比率、滑点敏感度等）。
• 有效性评估与筛选： 建立严谨的特征有效性检验体系（如IV/WOE分析、T检验/假设检验、相关性分析、特征重要性SHAP值等），剔除噪音因子。
• 防过拟合与数据泄漏： 确保特征在样本外及实盘环境中的衰减率可控，严格防止未来函数介入，保证模型的鲁棒性与泛化能力。
• 客群分类与流量路由： 构建机器学习或统计模型，精准识别“毒性流量”与普通零售流量。为A/B Book对冲路由引擎提供量化决策支持，实现收益最大化与风险最小化。

风控算法设计与对冲策略

• 动态保证金与平仓算法：优化平台动态杠杆规则、阶梯维持保证金模型，有效防范极端行情下的穿仓风险。
• 风险敞口与VaR模型： 建立多资产（外汇、商品、指数等CFD）的实时风险敞口监控体系，开发VaR及压力测试量化模型。
• 异常交易与欺诈检测： 设计反作弊算法，实时识别并拦截延迟套利、高频剥头皮、价格操纵等违规/破坏性交易行为。
• 自动化对冲策略开发： 协助设计B Book内部风险对冲模型及C Book（混合模式）的自动化外部抛单（STP）算法。

工程落地与系统迭代

• 与数据开发及后台技术团队紧密合作，将量化模型转化为可实盘运行的工程代码（低延迟环境）。
• 持续追踪模型的线上表现（回测与实盘差异分析），进行算法的迭代与调优。

任职要求：

1. 教育背景： 985/211本科及以上学历，数学、统计学、金融工程、计算机科学、物理等相关理工科专业。
2. 行业经验： 1-3年金融行业量化风控、算法交易或数据科学经验；有外汇（Forex）、CFD衍生品交易平台背景者优先。
3. 核心技能：
4. 精通 Python（Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch等）及 SQL。
5. 扎实的机器学习、统计分析及时间序列分析能力。
6. 业务理解：
7. 深入理解衍生品定价、保证金机制、Greeks及VaR模型。
8. 熟悉做市商（Market Maker）机制、A/B Book风险管理逻辑及流动性提供商（LP）对接原理。
9. 软性素质： 对数据高度敏感，具备出色的逻辑思维、问题解决能力及跨部门沟通协作能力。

【加分项】

• 熟悉 MT4/MT5/cTrader 等主流交易平台底层逻辑。
• 曾在头部全球性CFD券商（如IG, CMC Markets, Exness等）担任过类似核心岗位。
• 拥有高频交易（HFT）数据处理经验。

Why Bitget?

• Bitget is the world's leading web 3 platform for copy trading and one of the world's largest and most respected exchanges
• We are a global company with staff members from over 50 different countries and regions
• We are growing and looking for world-class ambitious talents to help us continue this journey
• We have a streamlined structure that empowers employees to work efficiently, delivering the best results in a short timeframe
• We offer competitive salaries and benefits
• Blockchain technology and digital assets have the potential to change finance in a way no other technology can - be part of it!

If you are ambitious and believe that digital assets could be the next financial and technological revolution, please apply!

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