Data Scientist

Expiring today

Location
Bangalore City, Bangalore (IN)
Salary
Negotiable
Posted
Mar 26, 2019
Closes
May 25, 2019
Job Function
Wealth Management
Employment Type
Full Time

Job Role:

  • Help create prediction tools, automatic recommendation and scoring engines that will help investors monitor, review and act on their investment portfolios in an easier and more informed way
  • Help make sense of large amounts of data and help in automating several existing functions of the institution/platform
  • Lead a team of junior analysts for uploading large amounts of sensitive data, ensure its accuracy, sanctity and deliver an error free output in a fast-paced environment 

Job Requirements:

  • Iterate and build a recommendation engine for investors with machine learning and pattern recognition techniques
  • Help build multiple scoring engines for both the front end for better investment decisions and also for better data uploads and error recognition
  • Create dashboards and tools that help make sense of large amount of data and enable individuals to permute and compute from them
  • Understand various functions of the institution and then deliberate on how to automate them along with the tech team
  • Work closely with the tech team to enhance productivity and share best practices
  • Oversee a team of individuals who would upload data onto the Altiore platform and ensure accuracy and error free reporting. Help in betterment of the processes of upload and error identification
  • Keep information confidential
  • Comply with data integrity and security policies

Skills Needed:

  • Extremely proficient with Excel VBA
  • Experience with databases like Nosql, Mysql etc
  • Understanding of machine learning techniques and implementation
  • Understanding of Python and some coding skills is preferred
  • Understanding of financial markets is a big plus
  • Experience of data science toolkits would be desirable
  • Ability to work in a team with multi-faceted roles and responsibilities
  • Good Communication skills