Machine Learning Quantitative Researcher

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🕒 November 6, 2025

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Stormlight Capital

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

💸 Finance

💳 Fintech

Finance • Fintech

Stormlight Capital is a high-frequency trading firm and market maker that specializes in event contracts. The firm leverages advanced technology and quantitative expertise to provide deep liquidity, efficient pricing, and disciplined risk management for its proprietary trading strategies. Continuous innovation in infrastructure and execution-focused operations drives their market-making and event-based trading capabilities.

📋 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‑cost‑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