Quantitative Data Scientist

Description

Istra is a leading Algo-Trading research company specializing in developing and deploying High Frequency Trading strategies (HFT). We use state of the art technology and algorithms that are developed by our elite highly-skilled group of experienced researchers and developers in a challenging, pleasant, and rewarding work environment.

We are always on the lookout for outstanding data scientists to join our team.

Our researchers explore phenomena in the financial markets and are responsible for researching new trading strategies as well as analyzing and improving the performance of existing algorithms.

In this role, you will:

• Analyze large and complex data sets to identify patterns and trends.
• Develop and improve algorithms for trading strategies.
• Collaborate with the team of researchers and developers in the development and deployment of new trading strategies.
• Explore new algorithms in the fields of machine learning, signal processing, data mining and statistics.
• Participate in knowledge sharing and continuous learning opportunities.

Requirements

What you’ll need to succeed:

• Summa cum laude BSc. in Mathematics, Physics, Computer Science or Electrical Engineering from a well-known academic institute
• Advanced degree (MSc./PhD.) in a relevant field is a plus
• Programming experience (C++ - advantage)
• Experience in statistical analysis of large data sets - significant advantage
• Deep learning experience - advantage
• Experience in quantitative finance - advantage
• A deep sense of intellectual curiosity and excellence
• Independent, thorough, motivated, and innovative

So, if you enjoy working with excellent people while analyzing huge data sets and have interest in delving into and extracting the essence out of them, we would love to hear from you.