野村控股
Associate, Quantitative Strategist
Associate, Quantitative Strategist
发布于 大约 15 小时前普通员工/个人贡献者
Central, HK
中级经验
全职员工
仅现场办公
本科
研究与开发 (研发)
SQL
MATLAB
Machine Learning
AI 估算 · 70k–130k
香港投行量化策略师薪资水平较高，Associate级别月薪通常在7-13万人民币，具备算法交易经验可获更高薪酬。
职位详情
关于这个职位
野村证券Instinet部门全球交易研究组正在招聘一名量化策略师，加入香港的量化交易策略团队
你将运用量化分析技能，专注于亚太区股票执行的优化，通过A/B测试和模型设计提升算法交易性能，驱动收入增长
该职位要求对数据分析和算法交易有深厚热情，适合具备强大技术背景和金融领域经验的从业者
最低要求
Proven experience extracting and analyzing insights from large and complex datasets using SQL.
Proficient in scripting in Python (experience with C++, Matlab, Java and R would be an advantage).
Knowledge and understanding of current and future of trading technologies such as AI and emerging technologies.
Demonstrable ability to implement practical applications of quantitative research.
Excellent communication and presentation skills with excellent command of the English language.
Strong team player with willingness to both teach others and learn new approaches.
University degree in a scientific discipline e.g. Statistics, Mathematics, Physics, Machine Learning or Computer Science.
工作职责
Improve quantitative performance of trading algorithms.
Perform research on trading outcomes to measure contextual efficacy of various trading strategies.
Perform and design A/B tests to evaluate.
Design models to more effectively use trading tactics to achieve strategic performance, and work closely with engineering team to implement the models.
Be involved in algorithmic trading from inception of idea to research to quantitative follow-up.
优先资格
Experience with Algorithmic Trading would be an advantage.
Experience with C++, Matlab, Java and R would be an advantage.
AI 洞察
优缺点分析
优点
- Work in a prestigious global financial institution with strong brand recognition.
- Directly impact trading performance and revenue, providing high visibility within the firm.
- Exposure to cutting-edge algorithmic trading and quantitative research methodologies.
- Opportunity to collaborate with top-tier engineers and traders in a dynamic Hong Kong office.
- High-pressure environment with demanding performance targets and tight deadlines.
- Requires deep expertise in quantitative analysis and financial markets, steep learning curve.
- May involve long working hours, especially during market hours or project deliveries.
- This role is ideal for quantitative professionals with a passion for data and algorithms, who thrive in fast-paced financial markets and seek to bridge research with real-world trading.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to senior quantitative strategist leading complex research projects.
- Transition to head of quantitative trading strategy or portfolio management roles.
- Move into broader algorithmic trading or market making positions within global markets.
- Improve the quantitative performance of trading algorithms by conducting research on trading outcomes.
- Design and implement A/B tests to evaluate the effectiveness of different trading strategies.
- Build models to optimize trading tactics and collaborate with engineering team for production deployment.
- Proficient in Python and SQL for data analysis and insight extraction from large datasets.
- Strong understanding of quantitative research methods and ability to implement practical applications.
- Knowledge of algorithmic trading, market microstructure, and AI/emerging technologies.
- Excellent communication skills to present findings and work in a team.
申请策略
- Tailor your cover letter to demonstrate passion for algorithmic trading and data-driven decision making.
- Research Nomura's recent innovations in trading technology and mention alignment.
- Emphasize experience with Python and SQL in large-scale data analysis projects.
- Highlight any work related to algorithmic trading, A/B testing, or quantitative strategy development.
- Showcase academic background in a quantitative discipline (e.g., Statistics, Mathematics, Physics).
- Include examples of research outcomes that improved performance or generated revenue.
- Strengthen knowledge of market microstructure and algorithmic trading strategies.
- Practice A/B test design and statistical analysis for trading applications.
面试指南
- Use the STAR method for behavioral questions: Situation, Task, Action, Result.
- For technical questions, outline your thought process step-by-step and mention tools used.
- Always connect your answer to business impact (e.g., improving execution quality or revenue).
- How would you design an A/B test to evaluate a new trading algorithm?
- Explain a time you used Python and SQL to extract insights from complex data.
- Describe your understanding of market microstructure and its impact on algorithmic trading.
- How do you measure the performance of a trading strategy? Include statistical metrics.
- Discuss a challenging quantitative problem you solved and the approach you took.
职位点评
69
综合评分
Top-tier global bank quant role in Hong Kong focusing on algorithmic trading and quantitative research, with high growth potential but demanding lifestyle.
更适合这类人
This role is best suited for candidates who prioritize skill development, intellectual challenge, and high compensation over work-life balance.
表现最好
成长发展
相对薄弱
工作生活
薪资福利85
成长发展90
工作生活40
使命价值60
薪资福利
85较高
The position offers competitive compensation typical for quantitative roles in a global investment bank in Hong Kong, including bonus potential. Salary is likely above industry average.
薪资信号未披露（AI估算：70K-130K/月）
成长发展
90较高
The role provides strong developmental opportunities through exposure to advanced algorithmic trading, quantitative research, and emerging technologies. The firm encourages learning and collaboration.
技术前沿前沿/新兴技术
技术栈Python、SQL、Algorithmic Trading、A/B Testing、Machine Learning、AI
成长机会team player with willingness to both teach others and learn new approaches
业务类型profit_center
工作生活
40较低
Hong Kong finance roles typically involve onsite work with long hours. The job description does not mention flexibility or work-life balance.
工作模式仅现场办公
办公地点海外（不适用）
加班情况未提及（无法判断）
使命价值
60中等
Working in finance contributes to market efficiency and client success, but the primary focus is revenue generation rather than broader social impact.
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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