QuantInsti Quantitative Learning Private Limited jobs - Content Writing

Content Writing

QuantInsti Quantitative Learning Private Limited
experience Fresher
salary Salary not disclosed
qualification
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Posted: 1 Month ago
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Job Description

About the internship
Selected intern's day-to-day responsibilities include:

1. Research on topics related to quant trading, including AI/ML, statistical arbitrage, momentum, mean-reversion, options trading and NLP, and applications of statistics and econometrics models
2. Create and publish highly informative and application-based technical blogs on cutting edge developments in the field of trading
3. Enhance the content and delivery (pedagogy) for the existing blog articles
Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 1st Jan'21 and 5th Feb'21

3. are available for duration of 2 months

4. have relevant skills and interests

Other requirements

1. Excellent grasp on trading in financial markets

2. Exposure to machine learning

3. Knowledge of python language is a must

4. Strong analytical and quantitative background

5. Good communication skills and team player

6. Should have a creative and analytical mind

7. High attention to detail and accuracy

8. Ability to work under pressure and deadlines

9. Ability to work on multiple projects at a given time

10. Good organizational and planning skills

Perks
  • Certificate
  • Flexible work hours
  • Informal dress code
  • 5 days a week
  • Number of openings
    1

    Certificate: Will be provided at the end of the Internship

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    Job Particulars

    Job TypeInternship / Projects
    Hiring Process Face to Face Interview

    About Company

    About QuantInsti Quantitative Learning Private Limited
    QuantInsti Quantitative Learning is Asia's pioneer algorithmic trading research and training institute, QuantInsti provides practical oriented education on algorithmic trading using online real-time video-sharing as well as interactive learning hands-on courses to its participants. Our flagship course executive program in algorithmic trading-(EPAT) has been successfully completed by participants from more than 35 countries across all six inhabited continents and it continues to grow.

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