Quant Researcher – BFS Youth4 Talent Solutions

The Corporate Institute; Gurgaon; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

The Corporate Institute in India is seeking a highly skilled Quantitative Trader with a strong background in quantitative finance, mathematics, statistics, computer science, or related fields to develop and implement cutting-edge trading strategies.

You will collaborate with the technology team to deploy strategies and monitor their performance in live trading environments, while continuously refining approaches based on market conditions and feedback.

Qualifications

• Master’s or Ph.D. in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field.
• Proven experience in developing and backtesting quantitative trading strategies.
• Proficiency in programming languages such as Python, R, C++, or MATLAB.
• Strong understanding of financial markets, instruments, and trading mechanisms.
• Experience with data analysis tools and techniques.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.
• Strong communication skills, both written and verbal.

Responsibilities

• Develop and implement quantitative trading strategies.
• Perform rigorous backtesting of strategies to ensure their robustness and reliability.
• Analyze large datasets to identify patterns and trading opportunities.
• Collaborate with the technology team to implement and deploy strategies.
• Monitor and evaluate the performance of strategies in live trading environments.
• Continuously refine and improve strategies based on market conditions and performance feedback.
• Stay updated with the latest research and trends in quantitative finance and algorithmic trading.

Skills

Python

R

C++

MATLAB

Data analysis

Communication

Education

Master's or PhD in Quantitative Finance/Math/CS

Tools

Pandas/Numpy

Backtesting frameworks

Trading platforms

Job description

Key Responsibilities:

• – Develop and implement quantitative trading strategies.
• – Perform rigorous backtesting of strategies to ensure their robustness and reliability.
• – Analyze large datasets to identify patterns and trading opportunities.
• – Collaborate with the technology team to implement and deploy strategies.
• – Monitor and evaluate the performance of strategies in live trading environments.
• – Continuously refine and improve strategies based on market conditions and performance feedback.
• – Stay updated with the latest research and trends in quantitative finance and algorithmic trading.

Qualifications:

• – Master’s or Ph.D. in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field.
• – Proven experience in developing and backtesting quantitative trading strategies.
• – Proficiency in programming languages such as Python, R, C++, or MATLAB.
• – Strong understanding of financial markets, instruments, and trading mechanisms.
• – Experience with data analysis tools and techniques.
• – Excellent problem-solving skills and attention to detail.
• – Ability to work independently and as part of a team.
• – Strong communication skills, both written and verbal.

Preferred Skills:

• – Experience with machine learning and AI techniques.
• – Knowledge of high-frequency trading (HFT) and market microstructure.
• – Familiarity with trading platforms and execution systems.
• – Previous experience in a similar role within a financial institution or hedge fund.