Quadeye Jobs

Intern - Quant Researcher

Quadeye

Intern - Quant Researcher

Posted 2 Months Ago

Gurgaon, Gurugram, Haryana, IND

In-Office

9M-9M Annually

Internship

Financial Services

The Role

Quantitative Strategist Interns conduct mathematical, statistical, and programming research to develop and backtest trading strategies. They analyze market data, microstructure, and strategy performance; improve research methodologies; build quantitative models and tools; and develop features for live, low-latency trading systems. The role is designed for engineering students with strong quantitative, analytical, algorithmic, and object-oriented programming skills.

Summary Generated by Built In

About Quadeye

Quadeye is an algorithmic trading firm operating across major global financial markets and exchanges. We combine quantitative research, advanced mathematical modeling, and high-performance technology to develop sophisticated automated trading strategies across diverse asset classes.

Our teams work at the intersection of markets, mathematics, statistics, and technology, with significant ownership across the entire strategy lifecycle—from research and ideation to implementation, deployment, and optimization.

We offer a highly meritocratic environment where talented researchers and engineers have the opportunity to work on challenging problems, access world-class infrastructure, and see the direct impact of their work on live trading performance.

The Role

We are looking for sharp, curious, and driven Quantitative Strategist Interns to work at the intersection of mathematics, programming, and financial markets.

You will conduct hands-on quantitative research, analyze market data, and contribute to ideas that can directly influence our trading strategies and the technology powering our live trading systems. This internship is designed for students who enjoy analytical thinking, problem-solving, quantitative research, and coding, and want to apply these skills to real-world financial markets.

You will work in a fast-paced, collaborative environment where you can take ownership of meaningful problems and see your ideas translate into real trading impact.

Research → Data Analysis → Signal Development → Backtesting → Implementation → Trading Impact

What You’ll Do

• Conduct quantitative research using mathematical, statistical, and programming techniques to explore trading opportunities.

• Explore financial research and market literature to generate new trading ideas and rigorously backtest them.

• Analyze large-scale datasets, market patterns, market microstructure, and strategy performance to generate actionable insights.

• Develop and test quantitative models and signals that can contribute to systematic trading strategies.

• Improve existing research methodologies, tools, and technology to make the research process more robust and efficient.

• Build models and tools that support current and future trading requirements.

• Develop functionality and features that contribute to Quadeye’s research and trading systems.

• Collaborate with quantitative researchers and engineers to translate promising research ideas into practical implementations

Requirements

• Pursuing an engineering degree in Computer Science or a related quantitative discipline, preferably from a leading academic institution.

• Strong quantitative aptitude with excellent analytical and problem-solving skills.

• Solid foundation in data structures, algorithms, and object-oriented programming.

• Strong programming fundamentals, preferably in C++ or C.

• Strong interest in quantitative research, financial markets, and systematic trading.

• Ability to approach complex problems independently and translate ideas into testable solutions.

• Familiarity with Linux-based environments is advantageous.

• Knowledge of Python, Perl, or R is a plus.

• Ability to manage multiple priorities and work effectively in a fast-paced environment.

• Strong communication and collaboration skills with a willingness to learn and take ownership.

Skills Required

Pursuing an engineering degree in Computer Science or a related discipline
Strong quantitative aptitude and analytical problem-solving skills
Solid foundation in data structures and algorithms
Solid foundation in object-oriented programming using C++ or C
Ability to handle multiple tasks in a fast-paced work environment
Strong communication skills and work ethic
Knowledge of Linux
Knowledge of Python
Knowledge of Perl
Knowledge of R

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The Company

HQ: Gurugram

192 Employees

Year Founded: 2007

What We Do

Quadeye combines the best of both worlds: the opportunity and spirit of a startup and the stability of an established, experienced firm. Our employees work hard to solve interesting problems, and their results are rewarded. We value continuous learning—from our outcomes, from the environment and from each other. By having deepest possible understanding of the financial markets and translating that understanding into great automated trading strategies, we have built a distinct track record of success. We trade across many asset classes and instruments, using a variety of models, across the globe.