Data Scientist

Industry: Technology
Company size: 11-50
Not disclosed

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Job description

A US-based tech startup that is growing at a rapid pace and building innovative solutions, is looking for a Data Scientist. The developer will be responsible for the entire product lifecycle of quantitative strategy implementation and trading. The company picks up less explored, unique problems and works from first principles to discover quantitative opportunities in the markets. This will be a full-time, long-term position and requires 4+ hours overlap with the PST time zone. 


Job Responsibilities:

  • Research and take in live a variety of quantitative strategies based on several forms of historic and live market data
  • Lead a growing team of data scientists and researchers
  • Take ownership of the research, design, development and, implementation of the strategy 
  • Effectively communicate and collaborate with other teammates

Job Requirements:

  • Master Degree (or Ph.D.) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities
  • At least 3+ years of relevant experience as a Data Scientist
  • 3-5 years of experience in high-level Python programming
  • Good knowledge of applied and theoretical statistics, linear algebra, and machine learning techniques
  • Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modeling
  • Relevant knowledge and understanding of financial statements and related techniques
  • A proven ability to lead and drive innovation to solve project challenges and roadblocks
  • Experience in storing and retrieving data from large and complex time series databases is nice to have
  • Great practical knowledge on time-series modeling and forecasting (ARIMA, ARCH, and Stochastic modeling) is desirable
  • Nice to have prior experience in optimizing and backtesting quantitative strategies
  • Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker, etc.) is nice to have
  • Familiarity with REST APIs, data extracting, and cleaning techniques 
  • Good to have experience in Pyspark or any other big data programming/parallel computing
  • Familiarity with derivatives, knowledge in multiple asset classes along with Equities is nice to have
  • Progress towards CFA or FRM is a bonus

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