交易风控策略专家
Build real-time trading risk models to detect and block market manipulation
Design and iterate trading risk strategies using high-frequency data to identify and counter price manipulation, wash trading, fake orders, and cross-market arbitrage abuse. Build trading behavior risk profiles from multi-dimensional data including order book, transaction flow, user positions, and fund transfers. Participate in margin risk model construction, including liquidation model optimization and liquidation warning threshold tuning.
Why This Role?
Explore AI/LLM applications in trading risk scenarios like intelligent anomaly detection and automated rule recommendations
Key Responsibilities
- Design and iterate trading risk strategies for core trading products
- Build trading behavior risk profiles using multi-dimensional transaction data
- Participate in margin risk model construction including liquidation optimization
- Apply graph computing and community detection algorithms to identify coordinated trading groups
- Establish trading risk indicator monitoring systems for continuous market anomaly tracking
- Explore AI/LLM applications for intelligent anomaly detection and automated risk attribution
Requirements
- 3+ years of risk model/strategy development experience
- Proficiency in at least one programming language: Python, Java, or Go
- Familiarity with mainstream ML models (XGBoost, LightGBM, logistic regression, time-series anomaly detection)
- Experience with graph databases (Neo4j, NebulaGraph) and community discovery algorithms (Louvain, LPA)
- Familiarity with real-time stream processing technologies (Flink, Kafka) for millisecond-level risk strategy implementation
Required Skills
Keywords
View Original Description from Lever Postings
Original description from Lever Postings
岗位描述 1、负责核心交易产品的风控模型与策略体系建设，覆盖事前预警、事中拦截、事后分析全链路 2、针对交易场景设计并迭代风控策略，利用高频数据识别并实时对抗价格操纵、洗单、虚假挂单、跨市场套利滥用等异常交易行为 3、基于订单簿数据、成交流水、用户持仓、资金划转等多维交易数据，进行特征工程与变量挖掘，构建交易行为风险画像 4、参与保证金风控模型建设，包括强平模型优化、爆仓预警阈值优化、穿仓风险控制等保证金风控核心模块 5、运用图计算与社区发现算法，识别协同操盘团伙、关联账户刷量等群体，结合链上资金追踪形成完整风险闭环 6、建立交易风控指标监控体系，持续跟踪市场异常信号，输出可解释的风险评估结论，支撑业务与合规决策 7、探索 AI/LLM 技术在交易风控场景的落地应用，如异常订单行为智能检测、策略规则自动推荐、风险事件归因分析 任职要求 1、全日制本科及以上学历，计算机科学、统计学、数学、金融工程或相关专业；3 年以上风控模型/策略开发经验，有交易所或券商交易风控背景者优先 2、熟练掌握至少一种编程语言Python、Java、Go，具备扎实的数据处理与建模能力，能独立完成从数据清洗、特征工程到模型上线的全流程工作 3、熟悉主流机器学习模型（XGBoost、LightGBM、逻辑回归、时序异常检测等）及其在高频交易数据场景下的工程化落地 4、熟悉图数据库（Neo4j、NebulaGraph 等）及社区发现算法（Louvain、LPA 等），有关联账户识别或团伙挖掘实战经验 5、熟悉实时流处理技术（Flink、Kafka 等），具备生产级别的毫秒级风控策略落地能力，覆盖从数据预处理、特征工程、模型训练到策略应用的全流程，能够保障在极端行情或高频交易场景下实现实时风险阻断 加分项 1、熟悉TradFi 品种金融规则：熟悉股票、ETF、外汇市场的交易规则，能有效将传统合规风控模型迁移至 TradFi 风控场景。 2、AI/LLM 应用经验：有将 LLM 实际用于风控场景的真实案例（用户异常行为识别、策略自动生成、风险报告自动化）。
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Frequently asked questions
- Is 交易风控策略专家 at Gate.io a remote job?
- This role is based in Remote. See the listing for remote/onsite details.
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- This is a full time position.
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