Core Strategist

Position: Core Strategist – 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)
Salary

$191,000.00 - $273,400.00 per year.
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.
Be highly networked within both the global Core Strategist team and the central IT organization, playing 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.
Qualifications

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 StatsModels 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.
Work Environment

Hybrid of office/remote working: 80% office, 20% remote with flexibility.
Negligible travel.
Role not eligible for relocation assistance.
EEO Statement

We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics such as 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. If you are selected for a position, your employment may be contingent upon adherence to local policy, including pre‑placement drug screening, medical review of physical fitness for the role, and background checks.

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