Quantitative Researcher

6 days ago


Gurugram, India HuntingCube Recruitment Solutions Full time

Job Title: Quantitative Researcher – High Frequency Trading

Location: Global

About Us:

Join a globally recognized High Frequency Trading (HFT) firm that thrives at the intersection of technology and finance. We leverage advanced mathematical models, cutting-edge technology, and world-class talent to execute trades in financial markets with speed and precision. We are looking for exceptional minds to join our elite team of quantitative researchers.

Who Should Apply:

We’re seeking candidates with exceptional academic backgrounds from top-tier institutions such as IITs, IIMs, ISI, IISc, or global equivalents. If you are passionate about solving complex mathematical problems, love working with data, and want to shape the future of trading, we want to hear from you.

Key Responsibilities:

  • Research and Strategy Development:
  • Develop and test quantitative models to identify profitable trading opportunities.
  • Analyze large-scale datasets for statistical patterns and trading insights.
  • Build and optimize high-performance algorithms for financial markets.
  • Mathematical and Statistical Modeling:
  • Utilize advanced statistical techniques, machine learning, and optimization methods to design innovative trading strategies.
  • Continuously refine models to adapt to changing market dynamics.
  • Data Analysis and Backtesting:
  • Conduct thorough backtesting of trading strategies using historical data.
  • Implement rigorous validation techniques to ensure model robustness and reliability.
  • Collaboration:
  • Work closely with engineers to integrate models into trading systems.
  • Collaborate with traders to align strategies with market behavior and execution constraints.

Qualifications:

  • Degree in Mathematics, Statistics, Computer Science, Physics, Engineering, or related fields from a top-tier institution.
  • Strong analytical and problem-solving skills with a deep understanding of mathematical concepts, statistical analysis, and probability theory.
  • Proficiency in programming languages such as Python, R, C++, or Java.
  • Familiarity with machine learning techniques and frameworks is a strong plus.
  • Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced environment.
  • Prior experience in quantitative research, algorithmic trading, or data analysis is advantageous but not mandatory.

Why Join Us?

  • Be part of a collaborative and intellectually stimulating environment where your ideas drive success.
  • Access to cutting-edge technology and resources to build world-class trading solutions.
  • Competitive compensation, performance-based bonuses, and unparalleled career growth opportunities.
  • Work in an industry-leading firm at the forefront of financial innovation.

How to Apply:

If you have an exceptional academic record, a passion for solving complex problems, and a desire to excel in the high-stakes world of HFT, submit your application now



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