Intern - Quant Researcher
quadeyeNew York (NY)
Intern - Quant Researcher
Posted 14 days ago
quadeyeNew York (NY)
SENIORITY
Intern
About the role
Quantitative Strategist Intern Quadeye is a global algorithmic trading firm operating across all major financial markets and exchanges. We specialize in transforming deep market insights into sophisticated, automated trading strategies across diverse asset classes. By combining advanced mathematical models with cutting-edge technology, we build scalable, resilient, and high-performance trading systems. Our flat, meritocratic culture empowers engineers and researchers to take full ownership, drive innovation, and make a direct impact on trading performance. With access to world-class infrastructure, strong mentorship, and real-time feedback, our team thrives on solving some of the toughest problems in quantitative finance. We are a team of entrepreneurial thinkers, expert coders, and quantitative minds united by a passion for performance and innovation. We approach markets with a systematic, research-driven mindset and constantly explore new global opportunities. Beyond our technical excellence, Quadeye offers a vibrant and collaborative work environment that values curiosity, teamwork, and balance. From international offsites and sports tournaments to team outings and social events, we ensure that excellence and enjoyment go hand in hand.
Role Overview:
We're looking for sharp, curious, and driven individuals to join us as Quantitative Strategist Interns. This internship sits at the intersection of mathematics, programming, and financial markets. You will conduct real, meaningful research that contributes directly to trading strategies and the technology that powers our live trading systems. This is a hands-on opportunity designed for students who enjoy analytical thinking, problem-solving, quantitative research, and coding. You will work in a fast-paced, collaborative environment where your ideas can translate into real trading impact.
What You'll Work On:
- Conduct research projects using mathematical, statistical, and programming skills
- Explore financial literature to generate new trading ideas and backtest them
- Analyze data patterns, market microstructure, and strategy performance
- Improve or enhance existing research methodologies and technology
- Build models and tools that support present and future trading requirements
- Develop functionality and features that contribute to Quadeye's trading systems
What We're Looking For:
- Pursuing an engineering degree in Computer Science or a related discipline from premier institutes
- Strong quantitative aptitude and analytical problem-solving skills
- Solid foundation in data structures, algorithms, and object-oriented programming (C++ or C preferred)
- Ability to handle multiple tasks and thrive in a fast-paced work environment
- Strong communication skills and work ethic
- Knowledge of Linux, Python, Perl, or R is a plus
Benefits:
At Quadeye, you are not just an intern—you are part of a high-performance organization where you can create real impact from your first day.
What We Offer:
- A flat, non-hierarchical culture with no bureaucracy
- Opportunity to work directly on systems that influence real trading decisions
- Full-stack ownership and the chance to write code used in live trading environments
- Exposure to high-frequency trading, quantitative research, and low-latency systems
- Career Growth Potential full-time offers for top-performing interns
- Mentorship by leaders and experts in quantitative finance and engineering
- Lifestyle & Perks:
- All meals and snacks provided (fully stocked pantry)
- Annual sports events, tournaments, and fitness initiatives
- Team parties and social gatherings
- In-house physiotherapist and wellness support
- In-house library
- Recreation and games area
- Opportunities to network with senior team members and mentors
- Quadeye goodies and merchandise
- A vibrant, energetic office environment built around teamwork and curiosity
- Learning & Development:
- Hands-on project experience
- Real-time feedback from mentors
- Exposure to large-scale data, statistical modeling, and strategy development
- Deep dive into market microstructure, pricing, and trading systems
Before you apply
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A number in mind
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Your notice period
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