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MachineLearning Quantitative Researcher
MachineLearning Quantitative ResearcherSTORMLIGHT CAPITAL • Chicago, IL, US
MachineLearning Quantitative Researcher

MachineLearning Quantitative Researcher

STORMLIGHT CAPITAL • Chicago, IL, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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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