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Campus C++ Software Engineer (Intern)
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Описание вакансии
Текст:
TL;DR
Campus C++ Software Engineer (Intern) (Trading Infrastructure): Building live trading, risk, backtesting, and post-trade analysis systems for global financial markets with an accent on high-performance C++, market data, and reliable production infrastructure. Focus on designing exchange connectivity, processing billions of data points, debugging full data pipelines, and optimizing systems that support trading strategies.
Location: Singapore. Candidates should be interested in working in Singapore for their full-time job after graduation.
Company
develops research-driven technology and trading infrastructure for global financial markets.
What you will do
- Design, build, and maintain live trading systems connecting strategies to exchanges, including market data handling, order entry, and order lifecycle management.
- Develop business-specific trading platforms supporting new businesses and markets.
- Build risk infrastructure with real-time performance monitoring and pre-trade and post-trade controls.
- Develop backtesting infrastructure for evaluating systematic strategies against large-scale historical market data.
- Produce high-throughput datasets and C++ compute engines for post-trade analysis across billions of orders and market data points.
- Own production systems by debugging incidents, tracing data through pipelines, and fixing root causes.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or a related field.
- Proficiency in C++ and hands-on experience with large-scale systems.
- Strong fundamentals in data structures, algorithms, system design, networking concepts, and operating systems.
- Solid debugging skills and the ability to navigate unfamiliar codebases quickly.
- Comfort working with Linux, including command-line tools, debugging, and bare-metal environments.
- Clean production-quality coding, ownership, collaboration, curiosity, and rigorous data analysis.
Nice to have
- System performance optimization experience.
- Python experience.
- Open-source contributions.
- Background in statistics or data analysis.
- Finance, economics, or competitive programming experience.
Culture & Benefits
- Work directly with trading, operations, finance, engineering, and research teams.
- Ship production code in a fast-paced trading environment.
- Use AI tools such as Claude and ChatGPT with sound judgment about their output.
- Collaborate in a culture focused on innovation, intellectual honesty, mutual respect, and shared ownership.
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