Quantitative Researcher

Intellectual Capital HR Consulting Pvt. Ltd.; Gurugram District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. in India seeks a Quantitative Researcher to join our team. You will design and implement quantitative models, conduct market analysis, and contribute to algorithmic trading initiatives. Candidates should hold a Ph.D. or Master’s in Finance, Mathematics, or Statistics, and have at least 3 years of experience with Python, R, or C++. This role offers exposure to cutting-edge research, risk management, and collaboration with trading and tech teams.

Qualifications

• Advanced degree (Ph.D. or Master’s) in a quantitative discipline.
• 3+ years of experience in quantitative research or related field.
• Proficient in Python, R, or C++.

Responsibilities

• Quantitative strategy development and implementation to generate alpha.
• Data analysis, modeling, forecasting, and risk assessment.
• Collaborate with tech and trading teams to integrate strategies into systems.
• Develop risk management protocols to ensure model integrity.

Skills

Python

R

C++

Education

Ph.D./Master's in Finance/Math/Stats

Job description

Job Title: Quantitative Researcher

Job Summary:

We are seeking a highly skilled and motivated Quantitative Researcher to join our quantitative research team. As a Quantitative Researcher, you will play a critical role in developing and implementing innovative quantitative strategies, leveraging your strong mathematical and analytical skills.

Responsibilities:

1. Quantitative Strategy Development:

• Design, develop, and implement quantitative models and strategies to generate alpha and optimize investment portfolios.
• Conduct thorough research on financial markets, economic indicators, and relevant datasets to identify and capitalize on trading opportunities.

2. Data Analysis and Modeling:

• Develop and refine quantitative models for forecasting, risk management, and performance evaluation.

3. Algorithmic Trading:

• Collaborate with the technology and trading teams to implement quantitative strategies into algorithmic trading systems.
• Monitor and optimize algorithmic trading processes to ensure efficient execution and performance.

4. Risk Management:

• Work on developing and implementing risk management protocols to ensure the integrity and stability of quantitative models and strategies.

Qualifications:

• Advanced degree (Ph.D. or Master's) in a quantitative discipline such as Finance, Mathematics, Statistics, or a related field.
• Proven experience in quantitative research, algorithmic trading, or a related field, with a minimum of 3 years of experience.
• Strong programming skills in languages such as Python, R, or C++.