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Quantitative Analyst / Data Scientist

Quantitative Analyst / Data Scientist

Job Title: Quantitative Analyst / Data Scientist
Contract Type: Permanent
Location: Mumbai
Industry:
Reference: 1_160110
Contact Name: Pooja Mungekar
Contact Email: poojamungekar@klicktosearch.com
Job Published: January 16, 2019 14:47

Job Description

Our client, a global asset manager, is looking for Quantitative Analyst/Data Scientist for their Mumbai office.

MAIN RESPONSIBILITIES

  • Looking to hire a Data Scientist with substantial knowledge and experience working with large sets of data as a data engineer or data scientist. 
  • Experience with application and development of machine learning algorithms to explore and analyze multidimensional data huge plus.
  • In this role, you will work directly with traders, researchers, and portfolio managers to discover opportunities in markets that allow us to create and enhance executable strategies.
  • You will be an integral part of a very successful quant equity team with a long track record.
  • You will have the opportunity to apply your hands-on statistical, data analysis, and modeling skills to oversee the full-life cycle of trading strategy development and execution.
  • This process includes general data wrangling, feature engineering, algorithm development, model training, back-testing, simulation, and implementation. In our fast-paced environment, not only will you receive rapid feedback, you’ll immediately see the direct impact of your work. 
  • You will be part of a global team and contribute to this team while being based in Mumbai.

QUALIFICATIONS

  • Ph.D. or Post Graduate Degree in Mathematics, Physics, Statistics, Computer Science, Electrical Engineering or related fields.
  • Professional experience in building and applying machine learning techniques.
  • Strong programming skills in Python and/or C++ and R.
  • Experience working and analyzing time series and reference data.
  • Demonstrated experience working with and drawing conclusions from large datasets.
  • Previous experience in financial data preferred but not a must.