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Internship Algorithmic Trading Quant Jobs in Colorado

GNC Engineer III

Denver, CO · On-site

$115K - $190K/yr

Conduct trade studies and provide design recommendations for GNC hardware such as reaction wheels ... Develop GNC algorithms and implement them in flight software; verify performance and robustness ...

GNC Engineer II

Denver, CO · On-site

$90K - $155K/yr

Conduct trade studies and provide design recommendations for GNC hardware such as reaction wheels ... Develop GNC algorithms and implement them in flight software; verify performance and robustness ...

Internship Algorithmic Trading Quant information

What are the key skills and qualifications needed to thrive as an Internship Algorithmic Trading Quant, and why are they important?

A strong foundation in mathematics, statistics, and programming (especially in Python, C++, or MATLAB), along with coursework or experience in finance, is essential for an Internship Algorithmic Trading Quant. Familiarity with data analysis libraries, quantitative modeling tools, and version control systems like Git is typically required. Analytical thinking, attention to detail, and effective communication set candidates apart in collaborative and fast-paced trading environments. These skills are crucial for designing, testing, and implementing robust trading algorithms that perform reliably in real-world financial markets.

What is an Internship Algorithmic Trading Quant?

An Internship Algorithmic Trading Quant is a student or recent graduate who works with a quantitative trading team to develop, test, and implement mathematical models and algorithms used for automated trading in financial markets. Their responsibilities often include data analysis, coding trading strategies, backtesting performance, and collaborating with senior quants and traders. This role provides hands-on exposure to quantitative finance, programming, and financial markets, making it a valuable learning experience for those interested in a career in trading, finance, or data science.

What types of projects or tasks can I expect to work on as an Algorithmic Trading Quant Intern?

As an Algorithmic Trading Quant Intern, you'll typically work on projects involving data analysis, strategy backtesting, and model development. You may assist in researching and testing new trading algorithms, analyzing market data, and developing tools to improve trading efficiency. Interns often collaborate closely with quantitative researchers, software engineers, and traders, gaining exposure to both the technical and business aspects of trading. This hands-on experience is invaluable for understanding how quantitative strategies are developed and deployed in real-world markets.
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Software Engineer - Trading Systems

Software Engineer - Trading Systems

WorldQuant

Austin, CO • On-site

Full-time

Re-posted 26 days ago


Job description

Job Summary:
WorldQuant is a company that develops and deploys systematic financial strategies across global markets. They are seeking exceptional C++ developers to enhance and build their next generation trading platforms.
Responsibilities:
• Write low latency, high throughput C++ code
• Implement mission critical trading infrastructure
• Work with portfolio managers to implement new trading systems
• Adapt existing systems to our next generation trading platform
Qualifications:
Required:
• A minimum of 4 years of writing high performance C++
• Modern C++ knowledge (C++17/20, etc)
• C++ template meta programming knowledge
• Possess in-depth knowledge of network programming and distributed computing
• Strong knowledge of Unix/Linux fundamentals
• Strong understanding of data structures and algorithms
Preferred:
• Finance experience is preferred but not required
Company:
WorldQuant is a quantitative investment management firm. Founded in 2007, the company is headquartered in Old Greenwich, USA, with a team of 1001-5000 employees. The company is currently Late Stage.