Options Market-Making Quant Developer | Shape Liquidity

Wolverine Trading, LLC

Chicago, Northern (IL, KY)

Hybrid

USD 100,000 - 150,000

Full time

11 days ago
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Benefits offered by this job

Competitive salary
Annual discretionary bonus
Medical, dental, vision coverage
401K and Roth 401K
On-site gym and meals

Job summary

Wolverine Trading, LLC is seeking a Quantitative Developer to join a team disseminating liquidity in US Equity Options. Located in Chicago, IL, you will explore order flow dynamics and exchange rules while building analytics and experimental pipelines.

You’ll work with Python, learn C#, and develop datasets to boost trading feature development. The role emphasizes rigorous experimentation and effective communication across trading and engineering teams.

Qualifications

  • Background in a quantitative field with analytical problem solving.
  • Familiarity with regression analysis and statistical concepts.
  • Experience with Python and common data science packages.

Responsibilities

  • Gain domain expertise on US Equity Option exchange micro-structure.
  • Propose, run, and maintain production testing pipelines within an experimental framework.
  • Curate, document, and present experimentation results to trading and engineering staff.
  • Generate ideas for trading feature enhancement and parameter configurations through post trade analytics.
  • Work with large tick databases to build and maintain core datasets.

Skills

Quantitative background
Statistics basics
Python
Data science libraries
C#
Networking/FPGA basics
Technical communication

Tools

C#

Job description

Wolverine Trading, LLC is seeking a Quantitative Developer to join a team disseminating liquidity in US Equity Options. Located in Chicago, IL, you will explore order flow dynamics and exchange rules while building analytics and experimental pipelines.

You’ll work with Python, learn C#, and develop datasets to boost trading feature development. The role emphasizes rigorous experimentation and effective communication across trading and engineering teams.

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