Want to get hired at QuantConnect?
Data Quant Intern
QuantConnect
HybridHybrid
Original Job Summary
Overview
QuantConnect is a radically open-source, algorithmic trading technology company empowering engineering and financial analysts worldwide. With over 60 public repositories and a global community of 400,000 engineers, the company processes billions in trading volumes and trillions of data points daily using its state-of-the-art LEAN platform.
Job Functions
- Review data bug reports and fix existing datasets.
- Monitor live feeds and daily processing logs for timely data delivery.
- Develop technology to automate data processes.
- Assess data reports to distinguish actual issues from normal market operations.
- Onboard new datasets by reviewing vendor APIs and implementing QC C# classes.
- Document new datasets and research historical price discontinuities.
How to Stand Out
Show initiative by linking concrete work results at the top of your cover letter:
- Fork the QuantConnect Repository Data SDK Template and implement a LEAN dataset.
- Fix an issue tagged 'good first issue' in the LEAN repo and mention your application.
- Research an equities data issue and demonstrate your findings with code and news links.
Qualifications and Requirements
- Degree in quantitative finance or strong market mechanics familiarity.
- Proficiency in Python or C#.
- Creative problem solving and strong written communication skills.
- Attention to detail and market mechanics understanding.
Desirable Skills
- Experience in investing or trading.
- Familiarity with the algorithm API for strategy definition.
- Experience with Git pull-request processes.
Benefits
Work in a creative, challenging environment with high autonomy. Enjoy collaboration with top quant and engineering minds and benefit from paid holidays and comprehensive US healthcare, dental, and life insurance.
Key Skills/Competency
- Data Analysis
- Python
- C#
- Algorithmic Trading
- Open-source
- Automation
- Market Analysis
- Data Engineering
- Git
- Documentation
How to Get Hired at QuantConnect
🎯 Tips for Getting Hired
- Research QuantConnect's culture: Study their open-source mission and community impact.
- Customize your resume: Highlight relevant Python, C#, and finance experience.
- Show initiative: Provide links to real project contributions.
- Prepare technical details: Emphasize data processing and automation skills.
📝 Interview Preparation Advice
Technical Preparation
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Review Python and C# data processing libraries.
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Practice solving data bug reports and logs.
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Study automation and vendor API integration.
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Brush up on algorithmic trading fundamentals.
Behavioral Questions
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Describe a time solving data issues.
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Explain your process for problem prioritization.
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Share an example of team collaboration.
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Discuss handling constructive feedback.