Quantitative Researcher, Global Allocation - Vice President
NY7 - 50 Hudson Yards, New York, United States
R
USD 162K-215K Executive-level Full Time
Tasks
- Collaborate with portfolio managers and analysts to deliver AI ML solutions end to end
- Design and develop data consolidation and analysis systems for unstructured data
- Develop systematic alpha strategies for equities asset allocation fixed income and cryptocurrencies
- Integrate AI services across the platform
- Run algorithms on large scale datasets using distributed computing
- Train fine tune and deploy machine learning models
Perks/Benefits
- Flexible time off
- Healthcare benefits
- Hybrid work model
- Parental support
- Retirement benefits
- Tuition reimbursement
Skills/Tech-stack
Agile | C++ | Data Engineering | Deep learning | Distributed Computing | GPU Computing | Java | LLM Frameworks | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Python
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Quantitative Researcher | Researcher
Regions
Countries
States
Cities
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