Quantitative Researcher

Intellectual Capital HR Consulting Pvt. Ltd.; Lucknow; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. invites applications for a Quantitative Researcher based in Lucknow to develop and implement quantitative strategies for trading and risk management.

The role requires strong mathematical and analytical skills and a drive to optimize portfolios. You will collaborate with finance and tech teams to design models, test hypotheses, and deploy algorithms in live markets. A Ph.D.

Qualifications

• PhD or Master's in a quantitative discipline.
• 3+ years of experience in quantitative research or algorithmic trading.
• Proficiency in Python, R, or C++.

Responsibilities

• Design and implement quantitative models and strategies.
• Develop models for forecasting, risk management, and performance evaluation.
• Collaborate with technology and trading teams to deploy algorithms and ensure efficient execution.

Skills

Python

R

C++

Education

PhD or MSc in Finance/Math/Statistics

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++.