Data Scientist - Quant - BFS

- As a Data Scientist, you will be modelling high frequency data (microseconds/seconds level) for trading in markets. You will be responsible for conducting the entire research cycle on very large sets of historical market data for optimization and new strategy development.

- You will also be responsible for designing, debugging, improving and finally creating production ready nets.

Required Skill set : 

- Experience of working with deep learning models. Proficiency in any of data science language (e.g. Python, R).

Desired Skills : 

- Experience in Financial Modeling (algorithmic trading or high frequency environment is even better).

- Masters/PhD in financial engineering/machine learning (assuming you have published a few papers).

- Any relevant paper published in the area of deep learning (this would include Deep learning, Reinforcement learning, RNN, CNN etc.)

- Ability to solve problems and to explain the ideas to colleagues.

- Knowledge of C++.

- Experience of handling big data.