Quantitative Researcher

Edgehog Trading

$120K — $175K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering
  • 1-3 years of research or industry experience in quantitative finance or applied ML/data science
  • Strong Python programming skills with experience in numerical libraries like NumPy and pandas
  • Solid foundation in probability, statistics, and machine learning
  • Ability to critically assess model assumptions and conduct out-of-sample validation
  • Proficient with AI tools to streamline research and development processes
  • Curiosity about markets and trading dynamics; open to candidates from diverse quantitative backgrounds

Responsibilities

  • Conduct research to develop and enhance trading strategies
  • Design and iterate quantitative trading models from creation to deployment
  • Analyze market microstructure and execution quality to inform research
  • Collaborate with traders and engineers to implement research into trading systems
  • Utilize AI tools throughout the research workflow for efficiency and accuracy
  • Contribute to the development of research infrastructure, including data pipelines

Benefits

  • Comprehensive health, dental, and vision insurance fully covered by the company
  • 401(k) with a 4% company match
  • Unlimited paid time off and sick leave
  • Free meals and refreshments at the office
  • Commuter benefits to reduce transport costs
  • Engaging team culture with monthly social events and celebrations
Full Job Description
What you'll do:

  • Conduct signal, alpha, and feature research to develop models that improve trading strategy performance
  • Design, backtest, and iterate on quantitative trading models from ideation through production deployment
  • Analyze market microstructure, execution quality, and options pricing dynamics to identify new research directions
  • Collaborate closely with traders and engineers to translate research findings into live trading systems
  • Use AI tools actively throughout your research workflow - from exploring datasets and generating hypotheses to accelerating code and stress-testing model assumptions
  • Contribute to research infrastructure: data pipelines, evaluation frameworks, and reproducibility tooling

Qualifications and skills:

  • BS, MS, or PhD in a quantitative field - Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or similar
  • 1-3 years of research or industry experience in quantitative finance, systematic trading, or applied ML / data science
  • Strong programming skills in Python; comfort with numerical libraries (NumPy, pandas, SciPy) and data analysis at scale
  • Solid foundation in probability, statistics, and machine learning
  • Ability to think rigorously about model assumptions, overfitting risks, and out-of-sample validation
  • Comfort with AI-assisted development: you actively use LLMs and other AI tools to move faster, think more clearly, and build better
  • Genuine curiosity about markets, trading, and how quantitative systems interact with real-world price dynamics
  • Candidates from data science or applied ML backgrounds are welcome - strong modeling instincts and statistical rigor matter more to us than prior finance experience

Why Edgehog:

  • Small team advantage: Direct access to founders and senior team members from day one
  • Ownership early: Manage real P&L and make meaningful impact within your first year
  • Cutting-edge tech: Work with our proprietary models and low-latency trading systems built in-house
  • Tight feedback loops: Weekly 1-on-1s with your mentor, quarterly reviews with leadership
  • Chicago-based: Affordable cost of living, vibrant trading community

Benefits:

  • Comprehensive health, dental, and vision insurance with premiums 100% covered by the firm
  • 401(k) with a 4% company match
  • Unlimited paid time off and sick leave
  • Free lunch, coffee, drinks, and snacks
  • Commuter benefits
  • Monthly happy hours and annual team events


The base salary range for this position is listed below. Base salary represents just one part of overall compensation; all full-time, permanent roles are eligible for a discretionary bonus and benefits, including items in the above list.

The base salary for this role is 120,000 - 175,000 USD per year

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