Data Strategist Intern - Global Data Strategists Team
BPAdded 1h ago
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What you'll do
- Conduct R&D research on a technical topic using advanced statistics and machine learning
- Implement machine learning prototypes and analyze data using Python
- Review academic literature and advance team domain knowledge on your research topic
- Produce a technical report and present findings to the global team
What they're looking for
- Undergraduate degree plus PhD or MSc in quantitative discipline from top-tier institution
- Strong foundation in mathematical finance, statistics, time series modeling, and machine learning
- Python programming skills and experience with data analysis and predictive modeling
- Excellent written and verbal communication with creative, disciplined research approach
Data Strategist Intern – Global Data Strategists Team
Role Synopsis
An opportunity for an industrial research R&D internship, for up to six-month duration, is available with the Data Strategist team. Our team is located on trading floors in London, Singapore, New York and Houston, with a remit to provide cutting edge quantitative research to bp's 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.
Key Accountabilities
You will work on a cutting-edge R&D project on a technical topic of strong interest to the Data Strategist team. You will be expected to review the existing academic literature on the topic, understand the application context and to advance the team's domain knowledge as an outcome of the research. Hands-on implementation of machine learning prototypes and working with data using python are key elements of the project. You will work closely with other Data Strategists and traders. On completion of the research you will produce a high-quality technical report and present your findings to the global team in a formal seminar.
Essential Education
Undergraduate degree, plus PhD or MSc in a quantitative discipline, (e.g. physics, mathematics, electrical engineering or mathematical finance) from a top-class institution.
Essential experience and job requirements
- Deep understanding of mathematical finance
- Statistics
- Time series modelling
- Data analysis
- Behavioural finance
- Predictive modelling
- Numerical methods
- Machine learning algorithms
- Python programming
Key competencies
- Creativity and disciplined research approach
- Strong written and verbal communication skills
- Practical, problem-solving mindset – real data is messy!
Desirable criteria and qualifications
- Knowledge of traded markets and financial instruments in the energy and commodities domain
- Experience in a front office role of an investment bank, hedge fund or energy major
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
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, Statistics, Trade execution and management, Trading Fundamentals, Sentiment and Trends, Trading knowledge.
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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