Quantitative Researcher - Experienced Hires (India)

Trexquant Investment; Gurugram District; On-site; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Health insurance

Pre-tax commuter benefits

Weekly company meals

Job summary

Trexquant invites data scientists, physicists, engineers, economists and programmers to join our quantitative research team. As a Quantitative Researcher you will design market-neutral signals, parse large data sets, and work with the Data and Strategy Research team to build predictive models for equities, futures, commodities, and event-driven research.

You will explore cutting-edge ML methods, backtest strategies, and optimize performance.

Qualifications

• BS/MS/PhD in any STEM field.
• 2+ years in a systematic trading environment.
• Passion for machine learning.
• Fluent in Python.
• Strong problem-solving skills.
• Team player with ability to work independently.

Responsibilities

• Design, implement, and optimize ML models to predict liquid assets.
• Parse and analyze large datasets to identify alpha signals.
• Investigate and apply state-of-the-art research in quantitative finance.
• Improve models by integrating new data sources and techniques.
• Collaborate with researchers to backtest hypotheses and refine strategies.

Skills

Machine Learning

Python

Problem Solving

Teamwork

Education

BS/MS/PhD in STEM

Job description

Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets.

As a Quantitative Researcher you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive models. While we are open to researchers in any asset class we are currently focusing on roles in equities, futures, commodities, and event driven research.

Responsibilities

• Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals.
• Parse and analyze large datasets to identify actionable alpha signals and develop strategies for systematic trading.
• Investigate and implement state-of-the-art academic research in the field of quantitative finance.
• Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability.
• Collaborate closely with a team of experienced quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through rigorous simulations and data analysis.

• BS/MS/PhD degree in any stem field
• 2+ years in a systematic trading environment
• Passion for machine learning
• Fluent with programming languages like Python
• Strong problem-solving skills
• Ability to work effectively both as an individual and a team player

• Competitive salary plus bonus based on individual and company performance
• Collaborative, Casual, and friendly work environment
• Health insurance premiums fully covered for you and your dependents
• Pre-tax commuter benefits
• Weekly company meals

Trexquant is an Equal Opportunity Employer