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Quantitative Analyst

Early Applicant
  • Posted 20 hours ago
  • Be among the first 10 applicants

Job Description

Location: Ahmedabad, Gujarat (Work from Office only, no remote or hybrid)

Roles and Responsibilities:

  • Develop and implement quantitative trading strategies across various asset classes, including equities, futures and options.
  • Conduct research and analysis to identify alpha-generating opportunities using statistical modeling, machine learning techniques, and mathematical algorithms.
  • Develop, test, and back-test quantitative trading models using Python, R, or other programming languages.
  • Collaborate with traders and developers to optimize trading systems and algorithms for execution efficiency and risk management.
  • Monitor and evaluate the performance of trading strategies, making adjustments as necessary to enhance profitability and minimize risk.
  • Stay abreast of market trends, industry developments, and emerging technologies to maintain a competitive edge in quantitative trading.

Preferred candidate profile:

  • Strong quantitative skills with proficiency in statistical modelling, machine learning, and optimization techniques.
  • Experience with programming languages such as Python, R, or similar.
  • Experience with statistical modelling, time series analysis, optimization techniques, and machine learning algorithms.
  • Proven ability to work independently and as part of a team.
  • Excellent communication and presentation skills.
  • Strong understanding of financial markets and products.
  • A passion for quantitative finance and a desire to apply technical skills to solve real-world problems.

Perks and benefits:

  • In addition to a competitive salary, candidates will earn performance-based bonuses and incentives tied to the return on investment (ROI) of managed funds. This aligns with our commitment to rewarding excellence and fostering a results-driven culture.

How to Apply:

  • You can apply at this link: https://surbhifinsec.com/career/quantitative-analyst-data-analyst/ Or E-mail your CV at [Confidential Information] Or Via Linkedin

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About Company

Job ID: 152924753

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