Oscar Faye

About the Company

Oscar Faye is a high-performance talent solutions firm operating at the crossroads of human capability and technological acceleration.

We find the people who create tomorrow.

They are the builders, researchers and operators shaping what the world will be capable of next.

We specialise in talent-scarce, complexity-heavy markets where many claim expertise but few truly understand the terrain. This is where our experience makes the difference.

Our backgrounds lie at the forefront of innovative technology and finance and our networks have been built over decades. We understand the people who drive technological acceleration.

We deliver the talent that moves industries forward and we create an environment where exceptional people can work with exceptional businesses.

Listed Jobs

Company Name

Oscar Faye

Job Title

Machine Learning Researcher

Job Description

**Machine Learning Researcher** **Role Summary** Develops and deploys advanced machine learning models to solve complex prediction challenges in global financial markets, bridging research innovation with production systems for scalable impact. **Expectations** - Doctorate in quantitative discipline (e.g., Machine Learning, Computer Science, Statistics, Mathematics, Physics) - Proven experience developing and deploying deep learning models in research or industry - Demonstrated contributions to ML field via publications, open research, or systems with measurable impact **Key Responsibilities** 1. Design, evaluate, and optimize machine learning models for prediction, pattern discovery, and signal generation 2. Explore deep learning architectures on structured/unstructured data 3. Build large-scale experimentation pipelines to test hypotheses and validate model robustness 4. Collaborate with researchers and engineers to translate prototypes into production systems 5. Innovate features, architectures, and optimization strategies to enhance model performance 6. Develop research infrastructure to accelerate iteration and experimentation 7. Analyze time-dependent datasets to identify market-relevant relationships **Required Skills** - Proficiency in Python or C++ - Experience with ML frameworks (PyTorch, JAX, TensorFlow) - Competence in sequence modelling, time-series forecasting, reinforcement learning, or probabilistic modelling - Strong mathematical rigor and engineering problem-solving **Required Education & Certifications** - PhD in quantitative field (Computer Science, Statistics, Mathematics, Physics, etc.) - No specific certifications required.

New york city, United states

On site

18-03-2026