Data Scientist (Mid-Level/Senior) - MS/PhD

Company:
Big Data Federation, Inc. 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 2+ years of applied data analysis and prediction experience.

**Job Type: Full-time

COVID-19 considerations:
Our team is fully vaccinated incl. Booster

Compensation:

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

Please send resume to [email protected].