Kavayah Research and Analytics

Time Series Data Scientist

Kavayah Research and Analytics

Time Series Data Scientist

Kavayah Research and Analytics

Time Series Data Scientist

Kavayah Research and Analytics

Kathmandu
Key Skills: Market Research Data Science Time Series Data Science Nlp Data Science

Time Series Data Scientist

Basic Job Information

Job Category : Research and Development > Data analysis
Job Level : Mid Level
No. of Vacancy/s : [ 1 ]
Employment Type : Full Time
Job Location : Kathmandu
Offered Salary : NRs. 50,000.00 - 200,000.00 Monthly
Apply Before(Deadline) : Sep. 28, 2022 23:55 (1 week ago)

Job Specification

Education Level : Bachelor
Experience Required : More than or equals to 3 years
Professional Skill Required : Market Research Data Science Time Series Data Science Nlp Data Science

Job Description

About the company

Kavayah Research and Analytics is an investment research company based in Kathmandu, with highly driven team which aims to make a difference in the way investors interpret market data. The company works towards building complex economic models to value financial assets using the data available in the market. We aim to combine abstract ideas, economic theories, and machine learning techniques to historical data to understand investor behavior and make data backed investment recommendations.

Currently looking for candidates with:

  • Numerate individuals who are highly analytical and have exceptional attention to detail, with a logical mind and an interest in financial assets
  • Open minded, eager to learn, highly driven, flexible, and able to work in a fast-paced dynamic environment
  • Motivation to learn and not afraid to solve problems without any external input.
  • Though much of the position is self-motivated, it also requires analysts to work alongside team members to discuss trends and other highlights in the market.

Need to have:

  • Have past work experience of more than 3 years in Data Science (Time Series or NLP), Machine Learning, algorithm development, financial modelling, financial markets, and economics.
  • Experience with technology relevant to the current platform stack: Python, R, SQL Server, Tableau, Power BI
  • The ability to research and analyze the market data to develop new economic models to value assets and back-test various other economic models.
  • The drive to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques using ML to financial assets.

We are looking for people who are willing to take risks, overcome obstacles to produce new and creative solutions and most importantly with the "Can DO" mindset!

Are you ready to explore the unknown? Join our team!


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