The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing.

• Perform analysis and generate models of financial datasets using machine learning techniques
• 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
• Strong record of research achievement – examples include scientific publications, conference presentations, grants or industry awards

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WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, gender identity, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.