Senior Python Developer Core Strategist

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Join our Trading Analytics & Insight organisation and advance your career as a

Senior Python Developer (Core Strategist)

The Core Strategists, working in cross-discipline Squads, are helping spearhead our analytics transformation, re-imaging legacy business critical Excel models on our strategic data science platform Dataiku. We are Python experts and combine deep programming know-how with practical experience of analytics - data science methods, statistics, numerical algorithms or commercial skills. Working in a close partnership with the analysts and strategists across regions and commodity lines, you will design and build solutions to exciting business problems in a highly multifaceted commercial environment.

In your role, you will also partner with the central IT organisation for strategic deliveries, including modern data repositories, new analytical toolkits, visualisation technologies and cloud compute.

In this role You will:

• Build direct relationships with key analysts and commercial partners to understand their business requirements and immediate goals, and build effective technical solutions based on their guidance.
• Play a key role in advancing the strategic technology agenda across regions.
• Be held by the business as a technical authority and source of expert guidance to the analyst community.
• Build efficient, resilient and innovative solutions using modern data analytics technologies (including Dataiku, Power BI and Plotly Dash)
• Partner with analysts 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 practice for enterprise-grade applications.
• Contribute to the shared proprietary model libraries for use by analysts globally.
• Work with the architecture and infrastructure teams in central IT to ensure that designs are aligned with the company technology strategy. Play an interfacing role between IT and the analyst community.
• Act as a Product Owner for strategic projects undertaken by the centralized IT teams in service of Trading Analytics & Insight.

What You will need to be successful:

• Relevant university education in a STEM subject or other quantitative field (computer science, technology, engineering, mathematics, or physics, electrical engineering, mathematical finance)
• Fluent English
• Industry experience of Python programming for numerical data analysis, including knowledge of pandas, numpy, Jupyter. Practical knowledge of time series data manipulation.
• Expert in writing production ready, highly reliable, tuned (pythonic) numerical code.
• Good understanding of web services, ability to integrate with REST APIs.
• Knowledge of SQL and RDBMs. Experience in cloud technology concepts and stack, specifically AWS services.
• Reporting, with a strong emphasis on data visualization. Knowledge of visualisation frameworks, including at least one of Plotly, Plotly Dash and PowerBI.
• Familiar with software development industry standard methodology, including unit, integration and regression testing. Build and deploy patterns. Source code control systems, preferably Git.
• Strong analytical, reasoning and mathematical skills.

Desirable Experience & Skills

• Knowledge of European or other regional energy
• Understanding of supply and demand drivers together with how physical and related financial instruments are traded.
• Understanding of web technologies including HTML, CSS, XML
• Understanding of econometrics and time series forecasting
• Experience of working with data science platforms - especially DataIKU or databricks
• Experience of UX design
• Industry experience of large-scale data analysis and predictive modelling, preferably in an investment bank, hedge fund or energy major.
• Object oriented programming in a second language, for example Java, C++ or C#
• Javascript or Typescript programming, experience with React. js, Node. js/npm.
• Quantitative and data science skills, for example knowledge of statistics, probability theory, optimization or machine learning
• The scientific python stack including SciPy, scikit-learn, Statsmodels
• Good partner management skills

At bp, we provide the following environment & benefits to you:

• Different bonus opportunities based on performance, wide range of cafeteria elements
• Life & health insurance, medical care package
• Flexible working schedule: home office up to 2 days / week, based on team agreement
• Opportunity to build up long term career path and develop your skills with wide range of learning options
• Family friendly workplace e. g. : Extended parental leave, Mother-baby room
• Employees' wellbeing programs e. g. : Employee Assistance Program, Company Recognition Program
• Possibility to join our social communities and networks
• Chill-out and collaboration spaces in our beautiful Budapest Agora and Szeged offices

bp Hungary won the Most Attractive Employer 2024 Award (SSC / BSC sector) fourth time in a row at PwC's annual employer research. Come and join us!

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We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national ori.