Process, clean and verify the integrity of unstructured data and turn data into valuable insights
Develop and create data that seek to predict the movement of financial market
Transfer data into internal infrastructure applying variety of algorithmic techniques
What You’ll Bring
Have a Master’s degree or higher from a leading university in Computer Science, Electrical Engineering or other related areas
Good academic record
Familiar with modeling, data structures, algorithms and optimizations
Strong knowledge of machine/deep learning algorithms
Proficient in programming languages of both C++ and Python
Possess good communication and presentation skills in English
Ability to work independently and as member of a team
Research scientist mindset: deep thinker, creative, strong work ethic, persevering, smart & a self-starter
Detail oriented and capable of multitasking and delivering in fast-paced work environment
As a plus
While not mandatory, a strong interest in financial markets will definitely be beneficial
Participant of ACM-ICPC
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