Software Engineer
BP
Data Analytics Strategist
Our business is the exploration, production, refining, trading and distribution of energy. This is what we do, and we do it on a truly global scale. With a workforce of 80,000 employees, BP operates with business activities and customers in more than 80 countries across six continents. Every day, we serve millions of customers around the world. We are continually looking for skilled, committed and ambitious people to help us shape the face of energy for the future.
Trading & Shipping (T&S) is BP's face to the traded markets for BP in oil, gas, power, chemicals and finance. T&S role is to enhance Group value through distinctive supply, commodity trading, risk management and information technology skills underpinned by a world class finance, control and compliance infrastructure. T&S has a dynamic and highly skilled workforce, which brings value by combining analysis and commercial innovation with the material asset base of BP.
T&S fosters a diverse and inclusive workplace for all employees. We are proud of our stance on fairness, equal opportunity and meritocracy, which focuses on all of our employees reaching their full potential.
About the Role
The Data Analytics team within the Trading & Shipping, Trading Analytics & Insights organisation comprises Quantitative Analytics, Data Strategists, Market Intelligence and Core Strategists. Linked by the common themes of data, numerical algorithms and technology, the team seeks to contribute to the business by providing new models, tradable insights, distinctive data sets and agile technology solutions that empower the Analyst community and advantage the commercial teams.
The Core Strategist team provides direct technology support to analysts, worldwide. Located in each of our main trading locations, these individuals possess expert IT knowledge and good technical skills, combining deep programming know-how with practical experience of analytics, for example data science methods, statistics, numerical algorithms, derivative pricing or optimisation. Tasked with providing timely, practicable technology solutions to analysts day-to-day, they also partner with the central IT organisation for strategic deliveries, including modern data repositories, data ontologies, new analytical toolkits, visualisation technologies and cloud compute.
Working in a close partnership with the Analysts and Strategists across oil, gas and power, you will craft and build solutions to exciting business problems in a highly multifaceted commercial environment.
Key Responsibilities
- Build direct relationships with key analysts and commercial interested parties, understand their business requirements and immediate goals, and build effective technical solutions based on their guidance.
- Work as part of the global team and play a key role in advancing the strategic technology agenda across regions.
- Be held by the business as a technical authority and source of expert guidance to the analyst community.
- Provide day-to-day problem solving support and proactively disseminating best practice.
- Build efficient, resilient and innovative solutions using modern data analytics technologies (including Dataiku, Power BI and Plotly Dash), that enable analysts, advise decision making and drive revenue generation.
- Partner with analysts to develop custom interactive dashboard visualization solutions.
- Design and build scalable, reusable components and frameworks in-line with mandated architectures.
- Rigorously adhere to software development standard methodology for enterprise-grade applications.
- Contribute to the shared proprietary model libraries for use by analysts globally.
- Work with the architecture and infrastructure teams in central IT to ensure that designs are aligned with the company technology strategy. Play an interfacing role between IT and the analyst community.
Essential Education, Experience and Requirements
- Bachelor's degree in Computer Science or a related technical field (e.g., Software Engineering, Electrical Engineering, Mathematics, Physics).
- Fluent English knowledge and ability to communicate effectively, both verbally and in writing.
- Demonstrated experience with Python programming for data analysis, including working knowledge of libraries such as `pandas`, `numpy`, and `Jupyter`.
- Ability to write clean, highly reliable, production-ready, and efficient code for numerical and analytical tasks.
- Experience in Object-Oriented Programming, ability to design intuitive, maintainable classes while effectively using design patterns.
- Working knowledge of SQL and relational database systems.
- Familiarity with cloud computing concepts, preferably AWS.
- Exposure to data visualization tools and frameworks (e.g., Plotly, Dash, Power BI).
- Good understanding of web services, ability to integrate with REST APIs.
- Understanding of software development best practices, including unit testing, version control (Git), build patterns and deployment pipelines (eg Azure pipelines).
- Strong analytical, reasoning and mathematical skills.
Desirable Experience and Skills
- Familiarity with energy markets (e.g., oil, natural gas, low-carbon, LNG, or power).
- Exposure to time series forecasting, econometrics, or optimization techniques.
- Experience working with data science platforms such as Dataiku.
- Interest in UX design and end-user-focused development.
- Industry experience of large-scale data analysis and predictive modelling, preferably in an investment bank, hedge fund or energy major.
- Familiarity with the scientific Python stack, including `scikit-learn`, `scipy`, and `statsmodels`.
- Good interested party management skills
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 encouraging 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!
Travel Requirement
No travel is expected with this role
Relocation Assistance:
This role is not eligible for relocation
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 (ML), 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. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, 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.
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