Energy Trading Quant

Kepler Search

Singapore, SG

On-site

Why this role

Pace

Fast Paced

Collaboration

High

Autonomy

Medium

Decision Impact

Team

Role Level

Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

development of quantitative models
optimization of cargo flows
enhancement of proprietary analytics

Typical background

Master’s degree in quantitative disciplineExperience in energy trading

Transferable backgrounds

Coming from quantitative analyst
Coming from financial engineer

Skills & requirements

Required

Quantitative ModelingOptimization ToolsPhysical Commodities TradingLogistics AnalysisTrading And Commercial Stakeholder Interaction

Preferred

Energy TradingCommodity TradingFinancial Engineering

Stack & domain

MathematicsStatisticsPhysicsEngineeringComputer ScienceOperations ResearchQuantitative FinanceFinancial EngineeringEconometricsData ScienceStrong Commercial UnderstandingTechnical Quantitative CapabilityAbility To Operate In Relatively Unstructured Or Build-phase EnvironmentsEnergy TradingCommodity TradingOil MajorsIntegrated Energy CompaniesBanksSophisticated Trading/optimisation Environments

About the role

Original posting from Kepler Search via LinkedIn

Our client is seeking an experienced Oil Quantitative Analyst to support the continued growth and optimisation of its international physical trading portfolio.
Sitting closely alongside trading, shipping and commercial teams, this role focuses on developing quantitative capabilities across physical and financial optimisation, logistics, and analytics.
Key Responsibilities
Develop and enhance quantitative models and optimisation tools supporting physical and derivative trading activity
Analyse and optimise cargo flows, shipping economics, logistics, storage and broader portfolio optionality
Build proprietary analytics and decision-support frameworks for traders and commercial stakeholders
Work closely with trading, operations, shipping and analytics teams to identify and evaluate optimisation opportunities
Support pricing analysis, scenario modelling, exposure management and commercial strategy
Improve automation, modelling infrastructure and quantitative workflows across the platform
Contribute to the development of broader quantitative and optimisation capabilities within the business
Requirements
Master’s degree preferred in a relevant quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, Operations Research, Quantitative Finance, Financial Engineering, Econometrics, Data Science or other highly quantitative fields.
Experience within energy trading, commodity trading, oil majors, integrated energy companies, banks or other sophisticated trading/optimisation environments
Strong understanding of physical commodities trading and logistics, ideally across crude, refined products, condensates and/or LPG
Experience building optimisation models or quantitative tools supporting trading, shipping, logistics or portfolio management
Strong commercial understanding alongside technical quantitative capability
Experience working directly with traders and commercial stakeholders
Ability to operate in relatively unstructured or build-phase environments
Contact:
Dawn Gulanes
dawn.gulanes@keplersearch.com
EA Personnel no. R1551518

Source: Kepler Search careers (LinkedIn)