Commercial DT, Quantitative Developer

ConocoPhillips • Houston, TX

17h

About The Position

The Commodities Quantitative Developer designs, develops, and supports quantitative analytics for ConocoPhillips’ physical and financial commodity trading activities. The role focuses on pricing, valuation, optimization, analytics, and market risk across commodities such as LNG, natural gas, power, crude oil, and associated hedging products.

The position works closely with traders, Market Risk, quantitative analysts, commercial technology, and data teams to translate business requirements into scalable, production-quality analytical solutions. It operates across a multi-ETRM landscape with consolidated data and reporting, combining quantitative knowledge, hands-on software development, and practical understanding of commodity markets.

Requirements

• Legally authorized to work in the United States.
• Bachelor’s degree or higher in Mathematics, Physics, Engineering, Computer Science, Financial Engineering, Statistics, or a related quantitative field.
• At least 7 years of experience as a quantitative developer, front-office developer, trading strategist, or in a similar role within energy or commodity trading.
• At least 7 years of experience developing or supporting models for physical or financial commodity products.
• Advanced proficiency in Python, including delivery of production-quality analytical libraries, services, APIs, and applications.
• Advanced proficiency in SQL and experience working with relational or analytical data platforms.
• Advanced knowledge of commodity derivatives pricing, valuation, PnL, and market risk concepts.
• Advanced knowledge of numerical and statistical methods used in pricing and risk, including simulation, interpolation, and optimization.
• Advanced proficiency integrating quantitative models with trading, risk, market data, or reporting systems through APIs, services, or data pipelines.
• Advanced proficiency reconciling analytical results across different models, systems, and data sources.
• Advanced analytical and problem-solving skills.
• Advanced ability to explain quantitative concepts to technical and commercial stakeholders.
• Intermediate proficiency with software development practices, including automated testing, source control, code review, and release management.

Nice To Haves

• Master’s degree in Mathematics, Physics, Engineering, Computer Science, Financial Engineering, Statistics, or a related quantitative field.
• Strong combination of quantitative rigor and practical software delivery.
• Collaborative approach and ability to build effective relationships with traders, Risk, Technology, and Data teams.
• Strong ownership mindset focused on reliability, controls, and maintainability.
• Ability to work across commodities, systems, and geographically distributed teams in a fast-paced trading environment.
• Experience across multiple energy commodities, particularly LNG, natural gas, power, crude oil, refined products, or environmental products.
• Experience with one or more ETRM platforms, including OpenLink Endur, TriplePoint, RightAngle, or Planlogic EOS.
• Experience modeling physical commodity optionality, such as storage, transportation, delivery flexibility, inventory, or structured supply arrangements.
• Experience with Snowflake, Azure, AWS, or other cloud-based data and analytics platforms.
• Programming experience in C++, Java, C#, .NET, OpenJVS, or another language used within trading-system environments.
• Familiarity with model governance, model validation, and controlled deployment within a trading environment.

Responsibilities

• Design, develop, and maintain quantitative pricing, valuation, optimization, and risk analytics for physical and financial commodity trading.
• Develop models and analytical tools for forwards, futures, swaps, options, spreads, and structured transactions.
• Build reusable, production-quality quantitative libraries, services, and applications.
• Integrate quantitative analytics with ETRM platforms, market data services, the consolidated data model, and downstream reporting solutions.
• Define and validate market, trade, and reference data required by models, including forward curves, volatility surfaces, correlations, FX rates, calendars, and contract metadata.
• Implement model validation, benchmarking, and reconciliation controls to ensure analytical outputs are accurate, traceable, and reproducible.
• Optimize model performance, troubleshoot production issues, perform root-cause analysis, and implement sustainable fixes.
• Apply software engineering standards, including modular design, automated testing, peer review, version control, and controlled deployment.
• Maintain model and technical documentation covering methodology, assumptions, limitations, data requirements, and operational controls.
• Contribute to the broader quantitative, risk, and data architecture across the commodities trading landscape.

Benefits

• Medical, dental, and vision coverage.
• Mental health support and wellness programs.
• Competitive base pay and annual performance bonuses.
• Retirement savings plans.
• Paid time off and paid parental leave.
• Family support resources.
• Training, mentoring, and internal career mobility tools.
• Peer-nominated awards, an inclusive culture, and employee resource groups.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior