Machine Learning Quantitative Researcher

Job Description: • Identify predictive patterns in alternative textual and tabular data sources • Mine time‑series and cross‑sectional relationships in high‑frequency and daily tabular data • Build and compare NLP architectures (transformers, embeddings, topic & sentiment models) • Develop statistical and machine‑learning models (linear factor, tree‑based, gradient boosting, neural nets) that combine text‑derived features with numeric factors • Construct robust, transaction‑arenaflex‑aware back‑tests • Partner with Data Engineering to scale data pipelines and feature stores • Work with Portfolio Engineering to integrate signals into systematic strategies and monitor live performance • Present findings to senior leadership; contribute to Stormlight’s research culture through white‑papers, internal talks, and code reviews Requirements: • Education – M.S. or Ph.D. in Computer Science, Statistics, Physics, Electrical Engineering, Applied Math, or a related quantitative field • Programming – Expert‑level Python (pandas, NumPy, PyTorch or TensorFlow, scikit‑learn); solid SQL; version control (git) • NLP & ML – Hands‑on experience training and fine‑tuning large language models, embeddings, and classical NLP pipelines; strong grasp of supervised learning, regularization, cross‑validation, and hyper‑parameter optimization • Data Handling – Comfort manipulating TB‑scale datasets; proficiency with Spark, Dask, or comparable distributed frameworks • Research Rigor – Track record of designing repeatable experiments, performing thorough statistical validation, and communicating uncertainty • Communication – Ability to translate complex technical concepts into clear, actionable insights for stakeholders Benefits: • Bonus based on performance • Flexible schedule • Home office stipend • Opportunity for advancement • Paid time off • Profit sharing • Signing bonus Apply tot his job Apply tot his job Apply To this Job