ETeam Inc

Role Title: ETRM Data Modeler Work mode: Hybrid, 3 days WFO Contract duration: 12 Months Location: London Key Accountabilities: Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization. Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions. Develop and implement fundamental balances, pricing models and other tools to surface commercial opportunities within the low-carbon, power, gas, and oil markets, harnessing best practices and advanced modelling techniques. Engage with stakeholders (traders and analysts) to ensure that solutions/models are optimal and deliver deep commercial insight. Identify repetitive processes that can be standardized into modules that can be reused across projects. Essential Experience Undergraduate degree in STEM subject or quantitative discipline. Knowledge of European energy markets (e.g. gas, LNG, or power). Understanding of supply and demand drivers together with how physical and related financial instruments are traded. Track record of working with traders or other business stakeholders to create commercially actionable models. Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing large, complex datasets. Desirable Experience & Skills Practical knowledge of data engineering practices (designing and building robust data pipelines) Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel)

Role Title: Data Engineer Work mode: Hybrid, 3 days WFO Contract duration: 12 Months Location: London Education: Computer Science Soft Skills: Strong written and verbal communication skills Experience: Hands on programming experience with: Proficient Python Programming Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest). Code documentation and docstrings. Using linters and formatters Plotly Dash Key skills: Customizing with Plotly Graph Objects for advanced interactivity. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables). REST APIs: Fetching or sending data to backend services

We are a global recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: SAS Admin Work mode: Hybrid, 2-3 days WFO Contract duration: 6 months (can be extended) Location: London Must have skills: Primary Skills - SAS Admin, Enterprise Guide, Basic SAS coding skill Secondary Skills - Unix Scripting, Gitlab, YAML, Autosys, pyspark, Snowflake, AWS, Agile practice, SQL Candidate should have strong experience in SAS Administration and Expert SAS Coding Skills. Should have more than 6 years experience. Should have very good team handling capabilities. Should have very good communication skill. Should have good Linux knowledge and basis SAS Scripting skills. Responsibilities: SAS administration SAS enterprise coding Linux If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.