Corporate Strategist - Remote

Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner.

We are hiring Core Strategist in BP America Inc!

Location: 140 East 45th St, Suite 28A, New York, NY 10017 (May work from home on a hybrid schedule within 50 miles of New York, NY)

Provide direct technology support to help build models and analytical insight that directly influence commercial outcomes.

Interface with key traders and quant strategists to understand requirements and objectives.

Apply Python expertise at trading locations, combined with advanced programming, analytics and systemic trading, data science methods, statistics, numerical algorithms, regression analysis and commercial skills.

Work in close partnership with data strategists and trading benches for oil, gas and power to develop technology solutions for business problems in a multifaceted commercial environment including modern data repositories, data ontologies, new analytical toolkits, visualization technologies and cloud computing.

Provide day-to-day problem-solving support and proactively share best practice, including risk platform development to support trade execution and risk management, systematic trading strategy development and back testing, and market simulation development in US gas and power market to provide quantamental insight to assist trading decision making.

Highly networked within both the global Core Strategist team and the central IT organization you will play a leading role in advancing the technology agenda across regions.

Create efficient, resilient and innovative solutions using modern data analytics technologies.

Partner with strategists and traders to develop custom interactive dashboard visualization solutions using web technologies and third-party frameworks.

Rigorously adhere to software development best practices for enterprise-grade applications.

Make significant contributions to the shared proprietary model libraries in Python for use globally.

Play a key interfacing role between IT and the analyst community.

Master's degree or foreign equivalent in Computer Science, Computational Finance, Mathematics, Operations Research, Financial Engineering, or a closely related field

collaborating with Risk Managers to support Risk Analysis and Pricing functions;

developing front-end and back-end applications to facilitate regulatory risk reporting;

applying quantitative and data science methodologies including statistics, probability theory, and optimization techniques;

Python programming for numerical data analysis using Pandas and NumPy libraries;

developing production-ready, optimized, and reliable code for time series data manipulation and analysis;

leveraging the scientific Python libraries including SciPy, scikit-learn, and Stats models for advanced analytical tasks;

applying knowledge of RDBMS concepts, REST APIs, UI development, and data visualization techniques;

Applying industry-standard software development practices, including unit testing, integration testing, regression testing, and source code version control.

We believe that our team is strengthened by diversity. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits! We operate a hybrid model with 80% from the office and 20% from home with flexibility as agreed with line management.

Travel Requirement

Negligible travel should be expected with this role

Relocation Assistance:

This role is not eligible for relocation

Remote Type:

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

Legal Disclaimer:

We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). 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.