量化开发工程师（Data方向）

Responsibilities

1.负责各类市场行情数据整理与维护，将历史数据与实时数据做统一化处理； 2.负责制定数据处理标准，设计并开发统一接口与框架，解决策略部门共性的数据需求； 3.开发数据回测及校验工具，改进存储格式，优化底层性能，不断提升数据服务质量与效率。 -Perform normalization and maintenance of multi-source market data (tick/OHLC), ensuring consistency between historical archives and real-time feeds. -Define data governance standards and architect unified API frameworks to serve cross-strategy team data needs. -Build quantitative backtesting pipelines with data validation modules, implement storage optimizations (e.g. columnar formats), and drive performance tuning for latency-sensitive data services.

Requirements

1.计算机科学、软件工程等相关专业科及以上学历； 2.有量化机构数据团队或海外数据供应商，3年及以上相关工作经验； 3.熟练掌握 Python/R、C++等编程语言； 4.熟悉Pandas/NumPy等常见数据处理和分析工具，具备一定的统计分析能力； 5.熟悉MySQL、Redis等常用数据库，具备性能优化方面的经验。 -Bachelor's degree or higher in Computer Science, Software Engineering, or a related field. -3+ years of relevant experience in quantitative data teams (at hedge funds/prop trading firms) or global data vendors (e.g., Bloomberg, Refinitiv). -Proficient in Python/R and C++ for data processing and system development. -Strong expertise in Pandas/NumPy for data analysis, with foundational statistical modeling skills. -Hands-on experience with MySQL and Redis, including database performance tuning.

Who this role is for

本科及以上

Company overview