Requirements for this role:

• Understanding of data structures, algorithmic complexities, and numerical algorithms.

• Strong intuition and deep thinking with data sets - designs new predictive signals.

• Demonstrates strong “hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal.

• Strong Applied-Mathematics and Statistics background

• Analytical and aim to create thoughtful solutions.

• Background in programming languages like C, C++, Python.

• Ability to work independently and with team members with different backgrounds.The primary role of new candidates:

• Feature engineering to enhance the performance of already developed machine learning models

.• Apply strategies to normalize time series data with the help of statistical techniques for better performance.

• Detect anomalies and hidden trends in high-frequency time-series data

.• Continuous research to develop new algorithms/features.

• Writing quality and performant code in C/C++.