Job SummaryWe are seeking a high-caliber Quantitative Analyst to join our team supporting global LNG trading, origination, structuring and portfolio optimization. The position sits within a centralized, multi-commodity quantitative analytics team and your work will directly influence trading decisions, deal structuring, portfolio value extraction, and risk management across cargo optimization, medium-term structures, and long-term SPAs.
You will hold model ownership for the optimization and valuation engine at the core of our long-term LNG platform - accountable for optimization logic, constraint formulation, engine mathematics, model performance, and the commercial defensibility of the valuations it produces - and will partner directly with Structuring & Origination on high value, complex transactions.
This role may require periodic international travel to our London and Singapore trading offices, up to 10% of the time.
Position OverviewKey ResponsibilitiesTechnical Leadership & Model Development- Own and evolve the optimization logic, constraint formulation, and mathematical engine underpinning our LNG portfolio valuation platform.
- Support deal structuring on complex transactions, providing independent quantitative challenge on methodology, assumptions.
- Extend the platform to accommodate new contract types, pricing structures, and market features as the origination pipeline evolves, including structures the current model cannot yet represent.
- Manage solver performance and runtime, model scalability, and the compute economics of running large batches of parallel scenario and optimization cases.
- Lead model validation and assurance activity: back-testing, stress testing, sensitivity analysis, synthetic and edge-case test construction, benchmarking against accepted external references, and reconciliation of model output against independent calculation.
- Develop pricing frameworks for optionality that standard valuation does not adequately capture - spread options, swing and flexibility valuation, compound and embedded structures, and non-standard indexation.
- Deliver model outputs that stand up to scrutiny: intrinsic and extrinsic value decomposition, profit attribution by source, hedging analytics, and stochastic cash flow distributions.
- Maintain rigorous model documentation, automated test coverage, release notes, versioned assumptions, and calculation lineage sufficient to withstand internal audit and independent peer review.
- Collaborate with Commercial IT, data engineering, and data science teams on productionization, data pipeline integrity, and release validation - retaining full ownership of the underlying mathematics.
- Contribute reusable components - curve handling, calendars, optimization building blocks, scenario frameworks - back into the shared multi-commodity quantitative library, and help establish the modeling standards and governance practices that library will run on.
- Participate in commercial and governance discussions, clearly communicating valuation methodology, optionality drivers, sensitivities, and portfolio impacts to technical and non-technical audiences alike.
Success ProfileTo thrive in this role, youll demonstrate the following leadership competencies:
- Partners Collaboratively - Builds positive relationships based on trust and seeks collaboration across organizational boundaries to achieve goals.
- Demonstrates Financial/Quantitative Acumen - Understands how key financial and quantitative indicators impact business
- Thinks Strategically - Analyzes stakeholder needs, global, political, and market trends to understand how they shape the future and impact business results.
Required Qualifications- Legally authorized to work in the United States.
- Masters degree or higher in Applied Mathematics, Operations Research, Financial Engineering, Statistics, Physics, Engineering, Computer Science, or a related quantitative discipline.
- 10 or more years of hands-on experience as a quantitative analyst in energy commodities or financial markets, with a demonstrated record of building and deploying production-grade valuation, optimization, or risk models.
- Demonstrated command of optimization methods applied to commercial problems: mixed-integer linear programming, linear and network optimization, and stochastic or dynamic programming approaches. Practical experience with commercial solvers (Gurobi, CPLEX, XPRESS, HiGHS) and modeling frameworks such as Pyomo.
- Experience applying real options and derivatives pricing to physical optionality: spread options, swing and flexibility valuation, Black-76, and least-squares Monte Carlo or comparable dynamic programming methods.
- Demonstrated experience building hedging analytics - Greeks computation, hedge construction, and hedge effectiveness measurement - for physical or structured commodity portfolios.
- Experience with commodity price forecasting and quantitative modeling techniques, including simulation-based approaches used for valuation and risk management.
- Advanced Python development skills with experience building production-quality analytical and quantitative modeling applications.
- Knowledge of LNG market mechanics sufficient to encode them correctly: FOB and DES pricing, destination and diversion economics, quantity tolerances and make-up provisions, cancellation rights, shipping and chartering fundamentals, boil-off and voyage economics, and regasification and capacity arrangements.
- Understanding of global LNG and gas market structure, including Atlantic and Pacific Basin trade flows, principal pricing hubs and indices, shipping economics, and portfolio optimization principles.
- Experience with model validation, back-testing, calibration, and analytical governance frameworks.
- Sufficient commercial fluency to work credibly with traders, originators, and structurers.
- Proven ability to explain sophisticated quantitative work to commercial audiences, in writing and in person.
- Demonstrated ability to work collaboratively, manage competing priorities, and deliver under commercial timelines without compromising model rigor.
Preferred Qualifications- Strong communication skills with the ability to explain complex analytical concepts to both technical and non-technical audiences.
- Demonstrated ability to manage multiple priorities, collaborate across teams, and deliver high-quality results in a fast-paced commercial environment.
- Experience valuing long-term LNG supply and offtake agreements, shipping portfolios, regasification capacity, storage assets, and structured LNG transactions.
- Familiarity with Forward Freight Agreements (FFAs) and their use in commodity shipping markets to hedge future freight rates.
- Experience pricing non-market risk exposures, including counterparty credit and operational risk factors.
- Experience building dual-horizon optimization models -with appropriate constraint relaxation across horizons.
- Familiarity with LNG shipping operations as optimization constraints.
- Experience with large-scale, cloud-native compute architectures for quantitative workloads, including containerized solvers, asynchronous job queues, and distributed batch simulation.
- Experience with enterprise data platforms such as Snowflake for managing scenario inputs, simulation outputs, and result persistence.
- Familiarity with machine learning applied to energy markets, including freight and spot charter rate modeling, demand and price forecasting, or hybrid optimization and machine learning approaches.
- Experience contributing to or maintaining a shared, multi-contributor quantitative library with enforced standards and code review.
- Familiarity with model risk governance frameworks, independent model validation, and exposure or VaR quantification methodologies.
- Exposure to ETRM or CTRM environments, deal capture, mark-to-market, and position management workflows.
- Proficiency in C++ or C# alongside Python.
What We Offer- Competitive base salary commensurate with experience, plus performance-based bonus.
- Model ownership of an institutionally significant LNG valuation and optimization platform, with a defined enhancement roadmap and senior leadership visibility rather than a legacy system in maintenance mode.
- Direct line of sight from your models to multi-billion-dollar commercial decisions.
- A centralized quantitative team being built and scaled deliberately, with strong institutional backing for capability development, and reach across crude, natural gas, power, LNG, and NGLs beyond your primary LNG alignment.
- Close partnership with traders, originators, structurers, market analysts, and risk management across Houston, London, and Singapore.
- Comprehensive benefits including medical, dental and vision coverage, a company-funded pension plan, a 401(k) with company match, and relocation support where applicable.
Apply By:Sep 21, 2026
Sponsorship: ConocoPhillips sponsorship for employment authorization in the U.S. is NOT available for this position.
