Quantitative Strategy Developer Internship: Summer 2027
发布于 5 小时前实习/见习
值不值得投
综合评分 82
Top-tier quant internship with excellent developmental prospects, high compensation, and comprehensive perks, set in a collaborative and intellectually driven environment.
从学习成长、工作节奏、岗位方向和实习待遇综合评估，方便比较实习机会。
薪资怎么样
5.5万
比算法优化工程师中位数高
发布情况
新岗位 · 今天发布
公司情况
这家公司招聘很活跃
18 个在招
市场机会
选择面较广
算法优化工程师 · 约 630 个在招
职位详情
关于这个职位
该职位是Susquehanna国际集团面向2028届港新高校学生的暑期量化策略开发实习项目
最低要求
目前就读于香港或新加坡高校的全日制学生，并计划于2028年毕业
工作职责
参与为期10周的量化策略开发暑期实习项目，在美国总部进行高强度计算工作
优先资格
具备丰富的数值编程或高性能计算（HPC）经验
AI 洞察
优缺点分析
优点
- Opportunity to work at a globally renowned quantitative trading firm with a strong intellectual and collaborative culture.
- Comprehensive training on financial markets and direct mentorship from senior developers.
- Excellent perks including covered travel/housing, state-of-the-art fitness facilities, and a relaxed dress code.
- Highly computationally intensive role requiring strong performance-sensitive coding skills.
- Competitive environment typical of top-tier proprietary trading firms.
- Highly motivated STEM students graduating in 2028 with a strong passion for financial markets and low-latency system development.
缺点 / 挑战
暂无明显挑战项
角色解读
- Transition from a summer intern to a long-term full-time role in the Hong Kong office.
- Develop expertise in building complex, performance-sensitive trading strategies in a top-tier quantitative firm.
- Engage in a 10-week intensive quantitative strategy development program at the US Headquarters.
- Dive deep into financial markets and learn Susquehanna's trading approaches.
- Work on challenging projects involving signal creation, quantitative strategy analysis, and low-latency C++ strategy development alongside senior developers.
- Strong software development skills in C#, C++, or Python.
- Solid foundation in computer science, mathematics, or related STEM disciplines.
- Problem-solving abilities at the intersection of trading, quantitative analysis, and technology.
申请策略
- Ensure your university location (Hong Kong or Singapore) and expected graduation year (2028) are clearly stated.
- Consider applying for the Trading System Engineering Internship if your background is more systems-focused.
- Highlight projects or experience involving C++, Python, or C# with a focus on performance optimization and low-latency systems.
- Showcase strong numerical programming or High-Performance Computing (HPC) experience if applicable.
- Demonstrate problem-solving skills in quantitative or algorithmic contexts.
- Brush up on C++ for low-latency trading systems and Python for quantitative analysis.
- Gain a basic understanding of financial markets, trading strategies, and signal detection.
面试指南
- Use the STAR method (Situation, Task, Action, Result) to structure your responses, focusing on the technical challenges and the measurable impact of your optimizations.
- For trading-related questions, show curiosity about market mechanics and connect your technical skills to financial problem-solving.
- Can you explain a time you optimized code for performance or low latency?
- How do you approach debugging a complex, performance-sensitive system?
- What interests you about quantitative trading and Susquehanna's approach?
- Describe a project where you used C++ or Python to solve a computationally intensive problem.
- Review core computer science concepts, especially data structures, algorithms, and system design for low-latency applications.
- Familiarize yourself with basic options pricing, market microstructure, and Susquehanna's specific trading philosophy.
职位点评
薪资福利
The internship offers top-tier compensation for a student role, with travel and housing fully covered, plus extensive on-site perks and discounts.
成长发展
Provides deep dive into financial markets, mentorship from senior developers, and a clear path to long-term placement in the Hong Kong office.
工作生活
Relaxed dress code, fully stocked kitchens, and extensive on-site services promote a comfortable daily life, though the role is computationally intensive.
使命价值
Working at a globally influential quantitative firm pushing boundaries in systematic trading, though the direct social impact is neutral compared to healthcare or green tech.
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