Entity:

Supply, Trading & Shipping

Job Family Group:

Supply & Trading Group

Job Description:

An opportunity for an industrial research R&D internship, for up to six month duration, is available with the Quantitative Analytics (QA) team in BP’s Canary Wharf office. The QA team provides provide quantitative support to the commercial teams within the organization. Option pricing, statistical analysis, hedging strategies and real option valuations of physical assets or contractual terms are our main focus. We work closely with traders, structurers, originators, market analysts and technology teams to advantage BP.

Key Accountabilities

You will work on an innovative R&D project on a technical topic of strong interest to the QA team, specifically the application of advanced Machine Learning methods for the purposes of calibrating derivative pricing models for exotic financial options and complex physical assets. You will be expected to quick familiarise yourself with the existing academic literature on the topic, understand the application context and to advance the team’s domain knowledge as an outcome of the research. Hands-on implementation of machine learning prototypes and working with data using python are key elements of the project. On completion of the research the successful applicant will be expected to produce a high quality technical report and to present their findings to the global team in a formal seminar.

Essential Education

Undergraduate degree, plus PhD or MSc in a quantitative subject area, (eg physics, mathematics, electrical engineering or mathematical finance) from a top-class institution.

Essential experience and job requirements

• Deep understanding of mathematical finance

• Black Scholes option pricing theory

• Measure theoretic probability

• Stochastic calculus

• Optimisation and stochastic control

• Numerical methods

• Machine learning algorithms

• Python programming

Key competencies

• Strong written and verbal communication skills.

• Practical, problem-solving approach

Desirable criteria and qualifications

• Knowledge of traded markets and financial instruments in the energy and commodities domain

Why join us?

We’re committed to helping you build a career that works for you. Here, you’ll find a safe, supportive environment where you can learn, have meaningful challenges, and be recognised for your contributions. Your wellbeing, development, and individuality are valued every step of the way.

We believe that who you are matters. That’s why we foster an inclusive culture built on respect, where people from all backgrounds are supported to grow and thrive.

Travel Requirement

No travel is expected with this role

Relocation Assistance:

This role is eligible for relocation internationally

Remote Type:

This position is a hybrid of office/remote working

Skills:

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, Macroeconomics, Market analysis methods, Market Risk Management, Sentiment and Trends, Statistics, Trade execution and management, Trading Fundamentals, Trading knowledge

Legal 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.