Quantitative Analyst Lead, V&S LNG

ExxonMobil Asia Pacific Pte. Ltd.; Singapore; Vor Ort; SGD 180.000 - 300.000; Vollzeit

Zusammenfassung

ExxonMobil Asia Pacific Pte. Ltd. seeks a senior quantitative analytics leader to support LNG traders, originators and structuring teams.

The role requires advanced degrees, direct experience with LNG valuation and portfolio optimization, and the ability to translate complex analytics into commercial actions. You will lead analytics teams, work closely with traders and senior stakeholders, and develop scalable tools and frameworks to optimize LNG portfolios and risk exposures in a fast-paced

Qualifikationen

• Master's or PhD in Applied Mathematics, Statistics, Financial Engineering, OR, Physics, Engineering, Economics, CS, or related quantitative field.
• Significant front-office quantitative analytics experience in LNG/energy trading environments.
• Experience leading quantitative analytics teams in a commercial trading setting.
• Experience working with traders/decision-makers to evaluate transactions and assess risk.

Kenntnisse

Quantitative analytics

Leadership

Communication

Stakeholder management

Problem solving

Trends analysis

Decision support

Ausbildung

Master's or PhD in a quantitative discipline

Tools

Python

Quantitative tools

Model governance

Jobbeschreibung

• Master's or PhD degree in Applied Mathematics, Statistics, Financial Engineering, Operations Research, Physics, Engineering, Economics, Computer Science, or a related quantitative discipline.
• Significant front-office quantitative analytics experience supporting LNG traders, originators, structuring teams, or portfolio managers within commodity trading or energy trading organizations.
• Demonstrated leadership experience managing, mentoring, or leading quantitative analytics teams in a commercial trading environment.
• Extensive experience working directly with traders and commercial decision-makers to evaluate transactions, structure deals, assess risk exposures, and identify value creation opportunities.
• Deep understanding of LNG valuation, portfolio optimization, structured transactions, and commercial optionality.
• Strong expertise in option pricing theory, stochastic modeling, optimization techniques, Monte Carlo simulation, and risk analytics.
• Experience valuing LNG supply agreements, LNG offtake contracts, destination flexibility, shipping portfolios, storage assets, regasification capacity, and transportation agreements.
• Advanced proficiency in Python and experience developing scalable quantitative tools, optimization frameworks, and analytical applications.
• Strong understanding of global LNG markets, natural gas pricing hubs, shipping economics, market fundamentals, and portfolio optimization strategies.
• Experience with model validation, calibration, back-testing, and quantitative governance frameworks.
• Ability to translate complex quantitative analysis into commercially actionable recommendations for traders, originators, and senior stakeholders.
• Excellent communication and stakeholder management skills with the ability to influence decision-making at multiple levels of the organization.
• Demonstrated ability to lead complex projects, manage competing priorities, and deliver results in a fast-paced front-office environment.

Preferred Qualifications

• Advanced degree in a quantitative field.
• Experience leading front-office quantitative analytics, valuation, structuring, or portfolio optimization teams supporting LNG trading organizations.
• Experience supporting global LNG portfolios across Atlantic Basin and Pacific Basin markets.
• Deep knowledge of LNG contract structures, destination flexibility, diversion economics, shipping optimization, regasification economics, and storage optimization.
• Experience developing portfolio optimization and commercial decision-support frameworks for LNG trading and origination organizations.
• Knowledge of natural gas, LNG freight, power, and related commodity markets.
• Experience with cloud-based analytics platforms, distributed computing environments, and modern quantitative technology stacks.
• Familiarity with software engineering best practices including version control, testing, model governance, and deployment frameworks.
• Demonstrated success partnering with trading leadership and commercial organizations to deliver strategic initiatives, improve portfolio performance, and capture commercial value.