Quantitative Researcher

Intellectual Capital HR Consulting Pvt. Ltd.; Ahmedabad District; On-site; INR 2,000,000 - 4,500,000; Full time

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. in Gujarat seeks a Quantitative Researcher to develop quantitative models and trading strategies, leveraging strong mathematical skills.

The candidate should hold a Ph.D. or Master\'s in Finance/Math/Statistics, with 3+ years of experience and strong programming in Python, R, or C++. Collaboration with traders and technology teams will be essential for risk management and deployment.

Qualifications

• Advanced degree (Ph.D. or Master\'s) in Finance, Mathematics, or Statistics.
• 3+ years of experience in quantitative research or related field.
• Proficient programming in Python, R, or C++.

Responsibilities

• Develop and implement quantitative models and strategies to generate alpha.
• Analyze datasets and markets for forecasting and risk assessment.
• Collaborate with tech and trading teams to integrate strategies into systems.
• Monitor execution and optimize algorithmic trading processes.

Skills

Quantitative research

Algorithmic thinking

Data analysis

Education

PhD or Master\'s in Finance/Math/Statistics

Tools

Python

R

C++

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++.