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Quantitative Developer

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Walker Elliott
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager, Data Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Quantitative Developer

Location: Houston, TX

Fully Remote: Considered for U.S.

-based candidates

Work Authorization: Applicants must be legally authorized to work in the United States and must not require sponsorship, now or in the future as client cannot provide Visa sponsorship or transfer

Industry: Energy Investment Firm

Must have oil & gas or energy experience.

About the Company

Our client is a leading energy investment firm focused on identifying and executing high-value opportunities across the sector. They invest in and manage large, producing assets across major U.S. basins and select international regions. The team combines deep technical expertise with advanced analytics to drive smart, long-term investment decisions.

About the Role

We are seeking a Quantitative Developer to design, build, and own a Python-based stochastic modeling framework that supports asset and portfolio-level investment decisions. This role is highly impactful and offers end-to-end ownership of simulation tools that inform acquisitions, divestitures, hedging, and capital allocation.

Responsibilities
  • Develop and maintain a modular Python modeling framework for asset-level and portfolio-level simulations.
  • Build and run stochastic models, including Monte Carlo simulations and commodity price forecasts.
  • Integrate production, cost, and financial data to evaluate uncertainty, risk, and return.
  • Automate reporting, visualization, and decision-support outputs for the investment team.
  • Collaborate with technical and financial teams to refine assumptions, scenarios, and analytics.
Requirements
  • 5+ years of hands-on Python development experience within quantitative, financial, or risk modeling environments.
  • Strong knowledge of stochastic processes, Monte Carlo simulation, statistics, and time-series analysis.
  • Experience working with energy, oil & gas, commodity markets, or production economics.
  • Ability to engineer clean, modular, production-quality code (Num Py, Pandas, simulation libraries).
  • Strong communication skills with the ability to translate complex data into actionable insights.

Do not apply unless you are authorized to work in the United States for any employer as client company cannot sponsor or transfer visas at this time.

Walker Elliott is an Equal Opportunity Employer.

For additional information, please email your resume to or apply online.

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