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  • ID
    #16505290
  • Job type
    Permanent
  • Salary
    Depends on Experience
  • Source
    Big Data Federation, Inc.
  • Date
    2021-06-11
  • Deadline
    2021-08-10
 
Permanent

Vacancy expired!

Company:Big Data Federation tackles complex financial and economic problems. We apply machine-learning technologies to our mass data to generate predictions and signals for our asset management subsidiary. Our team comprises a group of technologists, mathematicians, data scientists, industry analysts, economists, and programmers. The company was incorporated in 2015, is headquartered in Santa Clara, California and has a European office in Moldova. We are backed by one of the world’s largest venture capital firms.Job Profile:This is an exciting role in which Silicon Valley meets Wall Street. You will play a key role in bringing technological innovation to the financial industry. In particular you will use your finely honed mathematical, computer science, and coding skills to create data-driven investment strategies and novel trading opportunities for our asset management firm. We particularly welcome passionate, data-oriented candidates eager to learn new skills, and mentor their colleagues in areas where they themselves excel.

As a Data Scientist you will:
  • Collaborate with researchers to provide insights in data
  • Do statistical analysis to figure out leading indicators to market
  • Visualize and explore data to figure out patterns and create new predictive features
  • Develop data science infrastructure tooling such as proprietary R packages
  • Use modeling techniques with finance intuition to advance existing quantitative and fundamental strategies and introduce new opportunities
  • Backtest trading strategies
  • Collaborate with software engineers to handle data/prediction ingestions and deploy models

Experience:
  • Solid background in statistics and mathematics
  • Strong knowledge and hands-on experience in data analysis and fundamental machine-learning techniques
  • Demonstrated experience highlighting innovation, creativity, and intuition
  • Proficient in R (preferred), or Python, and their respective library ecosystems
  • Familiar with financial analytics, time series econometrics, and trading strategies
  • Able to mentor junior data scientists through code reviews and best practices
  • Ability to multitask with attention to details
  • Strong verbal and written communication and presentation skills

Education:PhD/Master’s degree in a technical or quantitative discipline, like math, statistics, science, engineering, with 3+ years of applied data analysis and prediction experience.

Compensation:Competitive salary; stock options; health benefits; paid time off; short- and long-term disability life insurance.

Vacancy expired!

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