Algo Trader – Prop Trading Firm – IIM/ISB/MDI/FMS Callisto Talent Solutions

The Corporate Institute

India

On-site

INR 2,000,000 - 4,000,000

Full time

14 days+

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Job summary

The Corporate Institute is seeking a Quant Trader with strong experience in Indian Exchanges. You will design and implement high-frequency trading strategies using historic data, and work closely with tech and non-technical stakeholders to optimize quantitative models.

Responsibilities include back testing, live implementation, and continuous improvement of trading strategies, leveraging ML, time-series analysis, NLP, and robust coding in Python and C++.

Qualifications

  • BE/BTech/MS in Maths/Statistics/Financial Engineering from Tier 1 institute.
  • 2+ years of relevant experience in investment banking, asset management or hedge funds.
  • Strong knowledge on Machine learning, time-series analysis, pattern recognition, NLP.
  • Excellent coding skills in Python, C++, financial engineering.
  • Excellent communicator with strong interpersonal skill who can work closely with tech and non tech audience.
  • Strong team player who can work in fast paced front office environment.

Responsibilities

  • Designing HFT trading strategies using historic global data.
  • Plan, develop, implement, and improve quantitative strategies and code.
  • Study trading signals, build predictive models and improve existing trading strategies.
  • Back testing and implementing trading models in live environment.

Skills

Python
C++
Machine Learning
Time-series Analysis
NLP
Financial Engineering
Communication
Team Collaboration
Front Office Experience

Education

BE/BTech/MS in Maths/Statistics/Financial Engineering

Job description

Our client is a global quantitative trading firm functioning across asset classes. They are team of highly skilled quant developers, researchers, mathematicians, and statistical experts. They are hiring for Quant Trader with strong experience in Indian Exchanges.

Job Responsibilities :
  • Designing HFT trading strategies using historic global data.
  • Plan, develop, implement, and improve quantitative strategies and code.
  • Study trading signals, build predictive models and improve existing trading strategies.
  • Back testing and implementing trading models in live environment.
Essential Qualification and Skills :
  • BE, BTech, MS in Maths/Statistics/Financial Engineering from Tier 1 institute.
  • 2+ years of relevant experience investment banking, asset management, hedge fund management.
  • Strong knowledge on Machine learning, time-series analysis, pattern recognition, NLP.
  • Excellent coding skills in Python, C++, financial engineering.
  • Excellent communicator with strong interpersonal skill who can work closely with tech and non tech audience.
  • Strong team player who can work in fast paced front office environment.

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful

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