Options Execution Quantitative Researcher

Wolverine

$100K — $140K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong quantitative background in statistics, mathematics, or computer science
  • Hands-on experience with options trading, including familiarity with pricing models and executions
  • Experience training models on time-series or event-driven data
  • Proficiency in programming languages: C#, Python, and SQL
  • Strong analytical thinking with problem-solving focus
  • Ability to communicate findings clearly and collaborate with diverse teams
  • Experience in building dashboards or visualizations (plus)

Responsibilities

  • Research and develop options execution strategies for trades
  • Analyze transaction costs, slippage, and fill quality
  • Develop and refine execution algorithms like VWAP and TWAP
  • Build models for estimating market impact and order placement
  • Partner with engineers to implement models into trading systems
  • Design Python and SQL workflows for large trading datasets
  • Identify new opportunities and drive research direction

Benefits

  • Generous paid time off and flexible scheduling
  • 100% coverage of medical, dental, vision, life, and disability benefits for single coverage
  • Generous Paid Parental Leave
  • Retirement Plans: 401K and Roth 401K
  • Profit sharing plan
  • Long- and short-term disability
  • Free breakfast and lunch from in-house kitchen
  • On-site gym with subsidized membership
  • Frequent company outings
  • Opportunities to give back to the community
  • In-house education team for continuous learning
  • Mentorship Program during the first six months
Full Job Description
Options Execution Quantitative Researcher

Department: Technology

Employment Type: Full Time

Location: Chicago, IL

Description

Find the edge. Build the algo. Win the execution.

The mission is simple: deliver best-in-class execution - for our strategies and our customers'. You'll study market microstructure, analyze execution performance, and build models that improve how orders are routed and filled-refining both our internal algorithms and collaborating with clients to enhance theirs.

This is a high-ownership role in a rapidly growing execution business. You'll work with large trading datasets and complex market behavior to identify opportunities that improve execution quality, while helping shape the research agenda and where we invest next. Working closely with traders, sales, engineers, and researchers, you'll turn those insights into production improvements and see the results quickly.

If you enjoy applying rigorous quantitative research to real market problems and want the autonomy to shape how a business executes - we want to talk to you.

What You'll Do
  • Research and develop options execution strategies for single-leg and multi-leg option trades.
  • Analyze transaction costs, slippage, and fill quality across strategies and venues
  • Develop and refine execution algorithms - VWAP, TWAP, liquidity-seeking, and beyond
  • Build models to estimate market impact, fill probability, and optimal order placement
  • Partner with engineers to move models into production trading systems
  • Design Python and SQL workflows for analyzing large-scale trading datasets
  • Identify new areas of opportunity and drive the research direction as the business grows


What We're Looking For
  • Strong quantitative background in statistics, mathematics, computer science, or a related field
  • Hands-on experience with options trading, including familiarity with options pricing models, Greeks, and option executions.
  • Experience training models on time-series or event-driven data where feature engineering and leakage prevention are non-trivial
  • Proficiency in C#, Python and SQL
  • Strong analytical thinking and a bias toward solving real problems end-to-end
  • Ability to communicate findings clearly and collaborate across trading, engineering, and research teams
  • Experience building dashboards or visualizations (Tableau or similar) is a plus


Benefits:
  • Highly competitive salary & bonus opportunity
  • Generous paid time off and flexible scheduling
  • 100% coverage of medical, dental, vision, life, and disability benefits for single coverage
  • Generous Paid Parental Leave
  • Retirement Plans: 401K and Roth 401K
  • Profit sharing plan
  • Long- and short-term disability

Additional Perks:
  • Free breakfast and lunch from our in-house kitchen with rotating menus (including snacks!)
  • On-site gym with a subsidized membership
  • Frequent company outings
  • Opportunity to give back to organizations that help individuals in need in the Chicagoland area

Professional Development:
  • In-house education team - classes and resources are offered for continuous learning opportunities
  • Mentorship Program through your first six months of employment

The base compensation range for this role is approximately $100,000-$140,000 contingent on experience. WEX's total compensation model includes base salary and an annual discretionary bonus.

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