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Key Responsibilities
Some key responsibilities include:
Help design, implement, and maintain the market making algorithms and automated-response systems and further expand to EM.
Run statistical analysis and perform back-testing on large datasets.
Ad hoc data science and ML/AI projects.
Development and maintenance of in-house python and q libraries.
Knowledge/Experience/Skills
Most importantly the candidate should be creative, entrepreneurial and enjoy taking ownership of a project from start to finish.
Candidate should have experience and training in one or more of the following areas: financial engineering, machine learning, portfolio optimization and optimization theory, and/or algo pricing/market making.
Strong programming skills in python are required. Proficiency in KDB/q and SQL is a plus.
Highly technical role, experience and/or training in data science and statistical modelling are required.
The desk is closely integrated between traders, quants, and technologists and provides exposure to all aspects of the business. Business intuition and communication skills must be strong.
The candidate must be practically minded.
Qualifications
PhD. or M.A./M.S. in a quantitative discipline such as computer science, physics, engineering or financial engineering is required.
Time Type:
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