Core Strategist

bp•New York, NY

8d•$191,000 - $273,400•Hybrid

About The Position

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!

Requirements

Master’s degree or foreign equivalent in Computer Science, Computational Finance, Mathematics, Operations Research, Financial Engineering, or a closely related field
Four (4) years of experience in each of the following: 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.

Nice To Haves

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

Responsibilities

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.
Be held by the trading business as a deep technical authority and source of expert guidance.
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.
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.
Design and build scalable, reusable components and frameworks in-line with mandated architectures.
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.
Work with the architecture and infrastructure teams in central IT to ensure that designs are aligned with the company technology strategy.
Play a key interfacing role between IT and the analyst community.