花旗金融
Senior Algorithmic Trading & SOR Software Engineer (Senior Vice President)
Senior Algorithmic Trading & SOR Software Engineer (Senior Vice President)
发布于 大约 4 小时前普通员工/个人贡献者
Kowloon, Kowloon City, Hong Kong SAR
高级经验
全职员工
混合式弹性办公
本科
CI/CD
Agile
Sor
Market Microstructure
Smart Order Routing
AI 估算 · 100k–200k
香港地区高级算法交易工程师薪资水平较高，结合12年经验及金融科技门槛，月薪在10-20万人民币区间。
职位详情
关于这个职位
该职位是花旗金融股权电子交易团队的高级算法交易与智能路由软件工程师，负责设计和交付下一代算法交易及SOR平台
需要与交易台、产品开发和量化研究紧密合作，确保高性能和低延迟
适合有12年以上低延迟Java、C++或Rust经验，并熟悉算法交易或SOR系统的资深工程师
最低要求
Qualifications:
Minimum 12 years of experience with strong technical knowledge and expertise in Low Latency Java, C++ or Rust.
Prior experience in developing Algorithmic Trading or SOR platforms or equivalent in a global financial institution.
Strong understanding of automated testing techniques and quality engineering practices.
Strong understanding of Agile methodologies and Continuous Integration processes.
Expertise in low-latency system design, including performance optimization, concurrency, and high-throughput architecture.
Ability to prioritize multiple tasks, set goals, and meet deadlines in a fast-paced, globally distributed environment.
Excellent communication skills with a demonstrable ability to present and grasp complex concepts in a multicultural, cross-regional environment.
Knowledge of regional exchange microstructure and regulatory regimes.
Bachelor's degree / University degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
工作职责
Responsibilities:
Core Development: Design and development of Citi’s next gen algorithmic trading platforms.
Product Collaboration: Partner with traders, quant researchers, and clients to understand their needs and translate them into product features and enhancements.
Testing: Continuously improve and maintain automation testing frameworks, development tools, and environments to ensure platform reliability and performance at scale.
AI-Powered SDLC: Leverage Citi's suite of AI-powered development tools throughout the Software Development Life Cycle (SDLC) to enhance productivity, code quality, and innovation.
Agile & CI/CD: Implement Agile development practices and Continuous Integration/Continuous Delivery (CI/CD) processes with a focus on shift-left testing and accelerated release cycles.
Platform Support & Enhancement: Build and maintain common solutions for trading platform monitoring, trade reconciliation, application recovery, and other essential support functions.
AI 洞察
优缺点分析
优点
- Work on cutting-edge low-latency trading systems at one of the world's largest financial institutions.
- Opportunity to collaborate with top-tier traders, quants, and global teams, gaining deep domain knowledge.
- Competitive compensation package including high base salary and performance bonuses typical for Hong Kong finance roles.
- Access to Citi's AI-powered development tools and modern SDLC practices, fostering continuous learning.
- High pressure to deliver extremely low-latency and high-reliability systems in a fast-paced trading environment.
- Requires deep expertise in both software engineering and financial market microstructure, limiting candidate pool.
- Global team collaboration may involve irregular hours to align with different time zones.
- This role is ideal for experienced software engineers with a passion for high-performance computing, financial markets, and building mission-critical trading platforms.
缺点 / 挑战
暂无明显挑战项
角色解读
- Advance to lead architect or principal engineer within the electronic trading domain, driving platform strategy.
- Move into quantitative development or trading strategy roles, leveraging deep technical and market knowledge.
- Expand influence across regions as a subject matter expert in algorithmic trading technology.
- Design and develop Citi's next-generation algorithmic trading and smart order routing platforms, focusing on low-latency and high-throughput performance.
- Collaborate closely with traders, quantitative researchers, and product teams to translate business needs into technical features and enhancements.
- Implement automation testing frameworks and CI/CD pipelines to ensure platform reliability and accelerate release cycles.
- Build and maintain monitoring, reconciliation, and recovery solutions for production trading systems.
- Deep expertise in low-latency programming languages (Java, C++, or Rust) with at least 12 years of experience.
- Proven experience in developing algorithmic trading or smart order routing platforms in a global financial institution.
- Strong understanding of market microstructure, exchange regulations, and high-performance system design.
- Proficiency in automated testing, Agile methodologies, and continuous integration practices.
申请策略
- Tailor your resume to explicitly mention 'algorithmic trading' and 'low latency' experiences, using metrics to quantify impact.
- Research Citi's electronic trading business and recent technology initiatives to show genuine interest during interviews.
- Emphasize hands-on experience with low-latency Java/C++/Rust development, including specific latency optimization techniques (e.g., garbage collection tuning, lock-free data structures).
- Showcase prior work on algorithmic trading, smart order routing, or market making systems, highlighting performance improvements and throughput metrics.
- Detail knowledge of exchange microstructures (e.g., order types, matching engines) and regulatory frameworks in Asian or global markets.
- Highlight experience with CI/CD, automated testing, and Agile practices in a financial services context.
- Deepen understanding of market microstructure for Hong Kong (HKEX) and other Asian exchanges.
- Familiarize with Citi's internal AI development tools, though general AI-assisted coding experience (e.g., GitHub Copilot) is valuable.
面试指南
- For design questions: start with requirements and constraints, then propose architecture, discuss trade-offs, and justify decisions with quantitative reasoning.
- For experience questions: use STAR method (Situation, Task, Action, Result) to highlight your role and impact.
- For troubleshooting questions: explain systematic debugging approach, focusing on measurement, hypothesis testing, and iterative optimization.
- Describe a low-latency system you designed
- what were the key performance bottlenecks and how did you address them?
- Explain how you would implement a smart order router that balances latency, cost, and fill rate across multiple exchanges.
- How do you handle multithreading and concurrency in a high-frequency trading environment? Provide examples.
- Walk through your experience with market microstructure and how it influences your system design decisions.
匹配度报告
65
综合匹配度
Top-tier pay and advanced low-latency trading technology at a global bank, but demanding work hours in Hong Kong.
适合人群
This role is best for a highly experienced engineer who prioritizes high compensation and cutting-edge technical work over work-life balance.
最强匹配
薪资福利匹配
最弱匹配
工作生活匹配
薪资福利85
成长发展75
工作生活40
使命价值60
薪资福利匹配
85较高
The role is a senior position at a premier global bank in Hong Kong, offering a competitive compensation package typical for financial technology leaders. Benefits include stock options and bonuses, but specific figures are not disclosed in the JD.
薪资信号未披露（AI估算：100K-200K/月）
成长发展匹配
75中等
The role involves working with modern low-latency technologies and AI-powered SDLC tools, providing strong skill development. However, promotion paths are not explicitly mentioned in the JD.
技术前沿前沿/新兴技术
技术栈Java、C++、Rust、Low Latency、Algorithmic Trading、SOR、CI/CD
业务类型profit_center
工作生活匹配
40较低
The role is hybrid based in Hong Kong, but the trading environment often requires long hours and on-call support. No explicit WLB signals are provided in the JD.
工作模式混合式弹性办公
办公地点市区核心地段
加班情况未提及（无法判断）
使命价值匹配
60中等
Algorithmic trading directly impacts market efficiency and liquidity, offering a sense of purpose in finance. The industry is mature but still innovating, and the role contributes to Citi's global market presence.
行业发展稳定成熟行业
社会影响中性/一般
创新程度积极采用新技术
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