Quantitative Analyst – LNG

Welcome to ConocoPhillips, where innovation and excellence create a platform for opportunity and growth. Come realize your full potential here.

Who We Are

We are one of the world’s largest independent exploration and production companies, based on proved reserves and production of liquids and natural gas. With operations and activities in 13 countries, we explore for, develop, and produce crude oil and natural gas globally. We are challenged with an important job to safely find and deliver energy to the world. Our employees are critical to our success, and with them we power civilization.

We’re grounded by our SPIRIT Values – safety, people, integrity, responsibility, innovation, and teamwork. These values position us to deliver strong performance in a dynamic business – but not at all costs. We believe it’s not just what we do – it’s how we do it – that sets us apart.

Fostering an Inclusive Work Environment

To deliver superior performance, we create an environment that respects the contributions and differences of every individual. Wherever possible, we use these differences to drive competitive business advantage, personal growth and, ultimately, create business success.

Job Summary

Position Overview

Key Responsibilities

Technical 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 Profile
To thrive in this role, you’ll 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.

• Master's 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.

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Benefits Overview

ConocoPhillips offers a competitive and comprehensive benefits package designed to support your well-being and career growth:

• Taking Care of Your Health & Wellness: Medical, dental, vision, mental health support, and wellness programs.

• Supporting and Building Financial Security: Competitive base pay, annual performance bonuses, and retirement savings plans.

• Promoting Work-Life Balance: Paid time off, paid parental leave, and family support resources.

• Offering Career Development: Access to training, mentoring, and internal career mobility tools.

• Guiding Recognition & Inclusion: Peer-nominated awards, inclusive culture, and employee resource groups.

Why ConocoPhillips

At ConocoPhillips, we believe our people power the future of energy. We’re committed to creating a workplace where employees feel valued, supported, and inspired to grow—professionally and personally.

We don’t just offer jobs—we offer meaningful careers in a company that values how we work as much as what we achieve.

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