MachineLearning Quantitative ResearcherSTORMLIGHT CAPITAL • Chicago, IL, US

MachineLearning Quantitative Researcher

STORMLIGHT CAPITAL • Chicago, IL, US

17 days ago

Job type

Full-time

Job description

Job Description

Benefits :

Bonus based on performance
Flexible schedule
Home office stipend
Opportunity for advancement
Paid time off
Profit sharing
Signing bonus

About Stormlight Capital

Stormlight Capital LLC is a high-frequency trading firm and market maker specializing in event contracts. Leveraging advanced technology and quantitative expertise, we deliver deep liquidity, efficient pricing, and robust risk management for our proprietary trading strategies. Continuous innovation and disciplined execution keep us at the forefront of event-based markets.

Role Summary

You will spearhead research initiatives that transform largescale textual and structured datasets into systematic trading signals. Working closely with portfolio managers, data engineers, and software developers, you will own the full research lifecyclefrom idea generation and data acquisition through model development, backtesting, and handoff to production.

What Youll Do

Identify predictive patterns in alternative textual and tabular data sources

Mine timeseries and crosssectional relationships in highfrequency and daily tabular data

Build and compare NLP architectures (transformers, embeddings, topic & sentiment models)

Develop statistical and machinelearning models (linear factor, treebased, gradient boosting, neural nets) that combine textderived features with numeric factors

Construct robust, transactioncostaware backtests

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 Stormlights research culture through whitepapers, internal talks, and code reviews

Minimum Qualifications

Education M.S. or Ph.D. in Computer Science, Statistics, Physics, Electrical Engineering, Applied Math, or a related quantitative field

Programming Expertlevel Python (pandas, NumPy, PyTorch or TensorFlow, scikitlearn); solid SQL; version control (git)

NLP & ML Handson experience training and finetuning large language models, embeddings, and classical NLP pipelines; strong grasp of supervised learning, regularization, crossvalidation, and hyperparameter optimization

Data Handling Comfort manipulating TBscale 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

Preferred / Bonus Skills

Prior alpharesearch or riskmodeling experience in equities, futures, options, or FX

Familiarity with market microstructure and execution cost modeling

Contributions to opensource ML / NLP projects or published research

Why Stormlight

Impact from Day 1 Your models feed directly into active portfolios

ResearchFirst Culture time for bluesky experimentation; regular reading groups

Competitive Total Compensation Base salary, performancelinked bonus, and profitshare.

Flexibility Hybrid schedule or fully remote in a USfriendly time zone

This is a remote position.

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MachineLearning Quantitative Researcher • Chicago, IL, US

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