Entity:

Supply, Trading & Shipping

Job Family Group:

Supply & Trading Group

Job Description:

About us

Our 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, fueled by world-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!

About the role

The Global Data Strategists team is located on trading floors in London, Singapore, New York and Houston, with a remit to provide innovative quantitative research to bps commercial teams. We bring advanced statistics and machine learning to trading, merging deep technical know-how with expert domain knowledge to generate tradable insights for the deployment of risk. The team works directly with Traders, Market Analysts and IT, making use of distinctive data sets and agile technology solutions. You will join a team of Data Strategists to develop systematic trading strategies for North American (NA) Gas and Power markets.

Please note this is a temporary role, estimated to last for 3 months.

Duties and Responsibilities

Develop, demonstrate and deploy trading models, based on both financial and fundamental data sets in the NA Gas & Power space. A core focus will be advancing the systematic FTR and power trading capability and Gas trading
Contribute and collaborate with the global Data Strategists Team to deliver trading models
Delivery of novel, high impact solutions to requests from the trading teams that drive commercial decision-making and revenue generation
Lead the relationships with your commercial team and understand the commercial strategies of their respective businesses. You will be embedded within a power trading team which has a successful track record and broad mandate to trade across the energy spectrum
Work closely with key IT&S technology teams to ensure robust and scalable solutions

Requirements and Qualifications

PhD or MSc degree in a highly quantitative field (e.g. physics, mathematics, electrical engineering or computer science) from a top-class institution
Undergraduate in a quantitative subject area from a top-class institution
Hands on experience in predictive modeling or trading signals in a front office role of an investment bank, hedge fund or energy major
Back-testing and the application of a rigorous statistical framework for hypothesis testing and risk management
Advanced machine learning, probability and statistics knowledge with the working knowledge on how to model and capture traditional sources of systematic alpha
Ability to communicate complex quantitative analysis and analytic approaches in a clear, precise, and actionable manner
Exceptional programming skills, with advanced knowledge of scripting languages, for example Python, R. Ability to write production ready, highly reliable and tuned numerical code

Consistent track record of –

Solving hard problems through the creative application of technology
Delivering trading models that drive PnL
Working in an agile environment to prioritize deliverables from a commercial perspective
Effective social and networking skills are essential to ensure successful engagement of the data strategists with the commercial collaborators in the trading organization
Strong team working skills to promote continued teamwork within the data strategists team as well as between various IST teams
Ability to design and implement tailored solutions to problems with rigor and judgment in a busy trading environment to strict time deadlines
Ability to educate IST stakeholders on new methodologies and benefits to their corresponding businesses

Why join bp

At BP, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly.

There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, and excellent retirement benefits, among others!

How much do we pay? ($111,000 - $207,000) *Please note the pay range listed for this position is a good faith and reasonable estimate of the base pay range for this position at the time of posting. You may learn more about our generous benefits here Explore Our Benefits

Travel Requirement

Negligible travel should be expected with this role

Relocation Assistance:

Relocation may be negotiable for this role

Remote Type:

This position is a hybrid of office/remote working

Skills:

Agility core practices, Analytical Thinking, Computational Thinking, Continued 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, Statistics, Trade execution and management, Trading Fundamentals, Sentiment and Trends, 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.