Quant Analytics Associate Trainee - Delhi, India - Scan Holdings Pvt. Limited

Scan Holdings Pvt. Limited
Scan Holdings Pvt. Limited
Verified Company
Delhi, India

2 weeks ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter


Description

QUANT ANALYTICS ASSOCIATE TRAINEE
We are a reputed Export organization having turnover of around 100 crores. We are recruiting 'Quantitative Analytics Associate Trainee' for our 'Investments and Wealth Management' division.

The person will be responsible for developing and implementing algorithms/strategies that help in better decision making for investments in real life stock market environment.


Job Responsibilities:

  • To provide quantitative analysis of trading data
  • To build statistical models for investing
  • To design investing algorithms.

Job Requirements:
Bachelor's degree or Master's degree in Statistics/ Computer Engineering/ Mathematics/ Economics/ Data-Science and machine Learning/ Finance related field
Excellent knowledge in Data Analysis / Python Coding / Algorithm development / Statistics / Mathematics/ Computer Engineering/ Economics/ Finance-related Field

Self-motivation, readiness to learn with a steep learning curve.


Experience: 0-2 years; Fresh Post Graduate/ Graduate with working knowledge in Python coding/Algorithm development/ Statistics and Probability/Data Analysis and Research can apply.


Salary:
INR 15,000/- per month to 20,000/- per month depending on qualification, experience and performance.


What Company Offers:
International work environment

Highly qualified and skilled team to work with

Safe and positive work culture

Ample scope for learning and growth


Job Types:
Full-time, Permanent


Salary:
₹180, ₹240,000.00 per year


Schedule:

  • Day shift

Ability to commute/relocate:

  • Paschim Vihar, West Delhi, Delhi , Delhi: Reliably commute or planning to relocate before starting work (required)

Application Question(s):

  • Give details/links of projects developed by you in writing algorithms/ python coding/ statistical model/regression model development that shows your experience in desired areas for this post

Education:


  • Bachelor's (preferred)

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