AI Researcher (UAE)

Role Overview

AI Researcher at Vatic Labs in Abu Dhabi. You will research and develop innovative AI-driven quantitative trading strategies, exploring vast amounts of market and alternative data to discover and capitalize on trading opportunities.

Company Overview

Vatic Labs is a team of talented researchers and technologists recognized as leaders in AI and quantitative trading. The environment is highly collaborative and open, sharing AI and trading expertise across team members and fostering innovation and growth. Distinguished researchers have been widely cited for their publications in top-tier, peer-reviewed scientific journals.

Role Purpose

To invent and apply state-of-the-art technologies inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods to discover novel AI-driven trading strategies and capitalize on market opportunities.

Key Responsibilities

Research & Development

• Research and develop innovative AI-driven quantitative trading strategies.
• Explore vast amounts of market and alternative data using advanced AI methods.
• Invent and apply state-of-the-art technologies inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods.
• Generate impactful research in academic or professional pursuits.

Qualifications & Experience

• 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 machine learning/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.
• Deep knowledge of large language models and deep neural networks for practical applications such as NLP, vision, speech, signal processing, scientific computing, and finance.
• Interest and enthusiasm for learning about financial markets (previous experience not required).

Skills & Competencies

• Advanced understanding and practical experience with programming languages and software tools for data analysis and machine learning/AI applications, including Python, C++, PyTorch, and Tensorflow.

Additional Information

• 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; free lunch at the office.