Quantitative Researcher

Intellectual Capital HR Consulting Pvt. Ltd.

Chandigarh

Hybrid

INR 2,500,000 - 5,000,000

Full time

7 days ago
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Job summary

Intellectual Capital HR Consulting Pvt. Ltd. is seeking a Quantitative Researcher to design and implement advanced quantitative strategies for trading and portfolio optimization.

The role focuses on researching markets, building models, and collaborating with tech and trading teams to deploy automated strategies, while maintaining robust risk controls and performance evaluation.

Qualifications

  • Advanced degree in Finance, Mathematics, Statistics, or related field.
  • 3+ years of quantitative research or algorithmic trading experience.
  • Strong programming skills in Python, R, or C++.

Responsibilities

  • Design, develop, and implement quantitative models and strategies to generate alpha.
  • Conduct research on financial markets, indicators, and datasets to identify opportunities.
  • Collaborate with tech and trading teams to deploy strategies into algorithms.
  • Develop and implement risk management protocols for model stability.

Skills

Quantitative research
Algorithmic trading
Data analysis

Education

Master's or PhD 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++.
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