Quant Strategist

Entity: Supply, Trading & ShippingJob Family Group: Supply & Trading GroupJob Description: About usOur purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need new talent to pursue commercial opportunities, motivated by best-in-class insight and expertise. We’re always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too. Together we continue to grow as the world’s leading energy company!The Global Data Strategists team, part of Trade Analytics & Insights supports commercial teams across London, Singapore, New York and Houston. We are seeking a proven Quant Strategist to join the Houston gas trading team, working directly on the trading floor in a fast paced, front office environment.This role is fully embedded with traders and focuses on building systematic models and signals that directly influence commercial decisions, position taking, and risk. The role sits at the intersection of global analytics and trading, drawing on shared tooling, technology, and expertise from Trade Analytics & Insights, while Houston gas trading retains full ownership of day‑to‑day priorities.Role OverviewAs a Data Strategist, you will design, test, and operationalize trading signals and models using financial, fundamental, and alternative datasets. You will work side-by-side with gas traders, contributing insight, shaping strategy development, and its commercial application.This role is particularly suited to collaborative individuals who want to develop systematic trading strategies and may in future seek a trading role.Key AccountabilitiesWork with traders to develop, test, and deploy trading models built from financial, fundamental, and alternative datasets, to support commercial activity.Work physically on the Houston trading floor, receiving day-to-day direction and research focus directly from the gas trading teamWork collaboratively across regions sharing research, tools, and best practicesBuild strong partnerships with traders and technology to implement robust, scalable, production ready solutions.What Success Looks LikeTraders directly use your signals or research to inform risk deployment.Your models operate reliably in production and improve PnL or decision quality.You collaborate effectively with Trade Analytics & Insights leveraging best practices and successful quantitative approachesEssential Experience & SkillsDemonstrated experience generating profitable trading signals or predictive models within a front office environment (energy major, hedge fund, bank, or similar).Backtesting and the application of a rigorous statistical framework for hypothesis testing and risk managementStrong knowledge of machine learning, probability, and applied statistics.Strong programming expertise in Python, and the ability to write production grade numerical code.Ability to distil complex quantitative approaches into actionable insight for traders.Familiarity with gas, power, basis markets, and weather driven dynamics is a significant advantage.What Success Looks LikeTraders directly use your signals or research to inform risk deployment.Your models operate reliably in production and improve PnL or decision quality.You collaborate effectively with Trade Analytics & Insights leveraging best practices and successful quantitative approaches Why Join Our Team?At bp, we provide an excellent working environment and employee benefits such as a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others!We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly!We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment. Don’t hesitate to get in touch with us to request any accommodations.Travel RequirementNegligible travel should be expected with this roleRelocation Assistance:This role is not eligible for relocationRemote Type:This position is a hybrid of office/remote workingSkills:Agility core practices, Analytical Thinking, Computational Thinking, Continuous Learning, Data Analysis, Data cleansing and transformation, Data Management, Data Sourcing, Data visualization and interpretation, Dialogue enablement, Exposure Management, Machine Learning (ML), Macroeconomics, Market analysis methods, Market Risk Management, Sentiment and Trends, Statistics, Trade execution and management, Trading Fundamentals, Trading knowledgeLegal Disclaimer:We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Created: 2026-02-17