Quantitative Developer

Job Description:

About us

Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need new talent to pursue commercial opportunities, fueled by world-class insight and expertise. We're always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too. Together we continue to grow as the world's leading energy company!

Summary

An opportunity for a Quantitative Developer, is now available in one of our main trading hubs. Working in a close partnership with the heads of Quantitative Development and Analytics, you will be a part of designing and building a new platform for deal structuring and risk management within a challenging and highly dynamic commercial environment.

Key responsabilities

• Provide technical leadership: demonstrate the ability to own projects from inception to completion
• Build efficient, resilient and innovative solutions using modern data analytics technologies that enable analysts, advise decision making and drive revenue generation.
• Partner with end-users from Quantitative Analytics, Trading and Structuring to help them use our platform for their analyses
• Make significant contributions to the shared platform for use by analysts globally.
• Work with the architecture and infrastructure teams in IT to ensure that designs are aligned with the company technology strategy. Provide input to IT and play a key interfacing role between them and the analyst community.

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

Qualifications

• Undergraduate degree in computer science, or equivalent quantitative discipline with a heavy computer science requirement. Post-graduate study is desirable but not essential

Deep practical experience and knowledge of:

• Expert level python programming skills, particularly in-depth knowledge of the python object model
• Ability to write production ready, highly reliable, tuned (pythonic) numerical code
• Expert level familiarity with standard Python packages, such as Pydantic, FastAPI
• Experience in exposing C++ to python
• Experience of using vendor cloud computing platforms, especially AWS and Azure
• A strong background in modern SDLC techniques, ideally having used Azure Devops
• Practical experience building web applications and web services.
• Software development industry best practice, including unit, integration and regression testing. Build and deployment patterns
• Use of different types of databases for storing versioned object schemas and storing/retrieving time series data
• Strong analytical, reasoning and mathematical skills.
• Strong written and verbal communication skills.

Desirable requirements

• Industry experience of building trading and risk management systems at a bank, hedge fund, energy major or vendor who supplies solutions to these companies
• Knowledge of Javascript libraries and Experience with React.js
• Practical experience of the Big Data stack, including hdfs, spark, scala, kudu, hbase, SQL, impala, as well as RDBMs.
• Quantitative skills, for example knowledge of statistics, probability theory, optimization or derivative pricing.
• Some C++ development experience

Personal attributes

• Strong interpersonal and networking skills, personal gravitas and competence build a rapport with a team of analysts across disciplines, geographies and commodity-lines.
• Proven track record of solving hard problems through the innovative application of technology in compressed timeframes.
• Demonstrable ability to align commercial and functional stakeholders.

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!

How much do we pay (Base)? $182,000 - $260,000

• Please note the pay range listed for this position is a good faith and reasonable estimate of the base pay range for this position at the time of posting. You may learn more about our generous benefits here Explore Our Benefits.

Travel Requirement
Up to 10% travel should be expected with this role

Relocation Assistance:
Relocation may be negotiable for this role

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 and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, 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.