Requirements
- Earned or will earn a Master’s or Ph.D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science.
- Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks.
- Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision, speech, signal processing, scientific computing, finance, etc).
- Ability to generate impactful research in academic or professional pursuits.
- Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications, such as Python, C++, PyTorch, Tensorflow, etc.
Nice to Have
- Finance applications preferred but not necessary.
- Interest and enthusiasm for learning about financial markets (previous experience not required).
Benefits
- Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
- Comprehensive health benefits – Full health insurance coverage for employees and dependents.
- Daily meals provided – Enjoy free lunch at the office.
Work Arrangement
Remote (City/Region) — Abu Dhabi
