Quantitative Researcher
A boutique quantitative asset manager in NYC is looking for someone to contribute to signal research process, work on portfolio construction methodologies and develop various performance and analytical tools.
- Transfer leading edge science and technology into investment strategies
- Structure portfolio construction through in-depth research and advanced quantitative analysis in mathematics and statistics
- Deploying innovative techniques including machine learning, Natural Language Understanding(NLU) and high performance parallel computing
The ideal candidate will have advanced degree in applied math, experimental physics, operation research or statistics
Qualifications:
Strong quantitative and analytical skills with solid background in numerical analysis, deep learning
Proficiency in foundational knowledge of C++, Python, CUDA and large scale computing
Experience with statistical analysis models
Willing to sponsor H1B