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Python Development Jobs Opening in Quants Jugglers at Delhi

Python Development

Quants Jugglers
experience-icon 0 Years
salary-icon Not disclosed
qualification-icon BCA, BE/B.Tech, BSc, Other Course
Expired

Posted: 09 May 22

Job Description

 Designation - Python Development 

Number of openings - 3

Selected candidates day-to-day responsibilities include:
 

  •   Create codes for normal day-to-day tasks
  •   Work on AWS supervision
  •  Work on APIs
  •  Analyze and visualize market data and create optimum strategies
  •   Work on the creation and live execution of algorithms
  •   Work on exception handling in Python
  •   Create an overall infrastructure for the automation of algorithms
Skill(s) required
  • CSS
  • Django
  • Flask
  • HTML
  • Machine Learning
  • Python
  • REST API
 
Who can apply

  •   are available for full time (in-office) internship
  •  can start the internship between 8th May'22 and 12th Jun'22
  •  are available for duration of 4 months
  •   have relevant skills and interests

Perks
  • Certificate
  • Letter of recommendation
 

Certificate: Will be provided at the end of the Internship
 

Job Particulars

Role others
Education BCA, BE/B.Tech, BSc, Other Course
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeInternship / Projects
Job Id1474020
Job Category BSc/BCA/BBM
Locality Address
State Delhi
Country India

About Company

About Quants Jugglers
Quants Jugglers is a data analytics company catering specifically to the financial market domain. We are a startup owned by full-time traders who have immense experience in trading and managing funds at the proprietary level. We have been building quants-based strategies for stock markets and are now willing to expand to provide algorithmic-based experience to people by providing in-house research-based strategies. We provide fund management services to our clients based on quants based system in order to generate alpha from markets. Times have been changing, and so are we. We bring our in-house research on the development of strategies, and algorithms that can be used to manage funds according to different classes of investors based on their needs.
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