Quant Strategist

Overview

Job Description: 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 Overview

As 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.

• Work 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 team
• Work collaboratively across regions sharing research, tools, and best practices
• Build strong partnerships with traders and technology to implement robust, scalable, production ready solutions.

• Traders 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

• Demonstrated 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 management
• Strong 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.

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.

Negligible travel should be expected with this role

This role is not eligible for relocation

This position is a hybrid of office/remote working

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…