Refineries Analyst in London

Refineries Analyst in London

London Full-Time 49500 - 60500 £ / year (est.) Home office (partial)
Kpler

At a Glance

  • Tasks: Own data integrity and quality control for refinery models using advanced analytics.
  • Company: Join Kpler, a leader in real-time oil and chemicals analytics.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Dynamic team environment with a commitment to diversity and inclusion.
  • Why this job: Be a key player in shaping innovative refinery models and analytics.
  • Qualifications: 3-5 years in refining analysis with strong data skills and technical expertise.

The predicted salary is between 49500 - 60500 £ per year.

Your future position

Kpler’s Oil & Chemicals business unit is rapidly advancing its real-time analytics and is looking for a technically sharp, data-literate Refineries Analyst to join its growing global team.

In this role, you will take absolute ownership of the data integrity, maintenance, and quality control of our bottom-up refinery models.

You will synthesize Kpler’s industry-leading proprietary data-including live crude flows, production, pipeline volumes, and inventory levels-into a cohesive modeling framework, utilizing our internal Linear Programming (LP) model as a core tool for tuning and optimization.

By connecting upstream inputs and offline events with real-world refinery capacities and yields, you will ensure our models seamlessly integrate into Kpler’s broader Supply & Demand balances.

Because you are joining us during an ambitious product expansion, you will play a foundational role in the evolution of our platform.

This is a truly hybrid-minded position where you will serve as the subject matter expert bridging the gap between physical market reality and technical architecture-partnering closely with our Product Engineering team to build, refine, and validate our most sophisticated fundamental datasets.

Your mission is to

  • Maintain data integrity, capacity, and offline event records for individual refinery models and regional balances, utilizing the internal Linear Programming model for tuning.
  • Prioritize the validation and improvement of existing models; data quality and domain expertise are the critical drivers for this role.
  • Lead the effort to backtest and guide models using external data sources (EIA, JODI, IRR, ANP) to ensure outputs align with physical market realities.
  • Apply a deep understanding of distillation, reforming, FCC, and blending to optimize refinery circuit views and regional supply/demand dynamics.
  • Source and leverage large datasets using Python, Postgre SQL and to automate data flows and improve model accuracy.
  • Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refineries product development.
  • Respond to internal and external data requests and client queries in a timely manner.

Experience & Background

Essential

  • At least 3–5 years of experience as a Refinery Economist, Refining Analyst, LP Modeler or related roles.
  • A deep understanding of physical refinery unit operations (Distillation, Reforming, FCC, Blending, etc.) and refinery economics (flows, pricing, regulations, and arbitrage dynamics).
  • Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS) is essential to be functional in this role.
  • Comfortable with Python and Postgre SQL.
  • Proven experience sourcing and leveraging external data (EIA/JODI/IRR) to model refineries.
  • Strong background in data-driven modeling, validation, and managing input data integrity (e. g., capacity and offline events).

Desirable

  • Experience with refinery optimization, especially with a focus on circuit-wide views.
  • Experience with data visualization.
  • Past experience contributing to Saa S product or data improvement initiatives.
  • Experience in leveraging AI tools (Claude, Cursor, etc) for data analysis & management, and general workflow optimization.

Behavioural Competencies

  • Ownership of day-to-day work and strong attention to detail.
  • Self-starter, thrives in an ambitious, early‑stage product environment without requiring direct supervision.
  • Eagerness to invest significant time in individual refinery tuning and bottom‑up modeling.
  • Driven to find data to backtest and guide models.
  • Client‑facing confidence.

Qualifications

  • Bachelor’s degree in a technical or quantitative field, with proven experience applying modeling techniques in commercial or research environments.
  • Equal Opportunity Employer

Kpler is committed to providing a fair, inclusive and diverse work‑environment.

We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community.

We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

Don’t meet every single requirement?

Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements.

Don’t let the confidence gap stand in your way, we’d love to hear from you!

We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

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Refineries Analyst in London employer: Kpler

Kpler is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about data analysis in the metals market. With a strong emphasis on employee growth, Kpler offers numerous opportunities for professional development and skill enhancement, particularly in a vibrant location that encourages networking and industry engagement. Join us to be part of a forward-thinking team where your contributions directly impact our clients and the broader market landscape.

Kpler

Contact Details:

Kpler Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Refineries Analyst in London

Join Engineering Meetups!

Get yourself along to local engineering meetups or tech conferences. These are great places to connect with like-minded folks and industry leaders who might just have a lead on that full-time Refineries Analyst role you’re after at Kpler.

Show Off Your Projects!

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Engage with Online Communities

Dive into engineering forums and online communities, like Reddit or specific engineering Discord channels. Sharing your insights, asking questions, and being active can help you build connections that might lead to job opportunities at Kpler.

Apply Through Company Websites

When you spot a role like Refineries Analyst at Kpler, apply directly through their website. Often, this can show your genuine interest in the company and you might just get noticed quicker than via typical job boards.

We think you need these skills to ace Refineries Analyst in London

Data Integrity Management
Linear Programming (LP) Modelling
Python
PostgreSQL
Refinery Unit Operations (Distillation, Reforming, FCC, Blending)
Refinery Economics
Data Sourcing and Validation

Some tips for your application 🫡

Showcase Your Technical Expertise:When applying for an engineering role like Refineries Analyst, it’s essential to highlight your technical skills. Include any relevant software or tools you're proficient in on your CV—think CAD software, simulation tools, or programming languages. Don't skimp on any engineering projects you've worked on that demonstrate your ability to solve complex problems.

Focus on Results and Impact:In the engineering world, we love numbers and real-world impact. Quantify your achievements wherever possible—like reducing costs by a certain percentage, improving efficiency, or successfully completing a project ahead of schedule. This gives your future employers at Kpler a clear picture of the value you can bring.

Craft a Compelling Cover Letter:Use your cover letter to express your passion for engineering and explain why you’re drawn to Kpler specifically. Share what aspects of their work excite you and how your values align with theirs. This is your chance to show a bit of personality while keeping it professional!

Include Relevant Certifications:If you have any engineering certifications, especially ones that are recognised in your field, make sure to feature them prominently on your CV. They demonstrate not just your knowledge, but also your commitment to professional development, which is something we at StudySmarter value highly.

How to prepare for a job interview at Kpler

Brush Up on Core Engineering Principles

Before heading into the interview with Kpler, make sure you're solid on the fundamental engineering principles relevant to the role. Be ready to discuss concepts such as thermodynamics, fluid mechanics, or structural analysis, depending on the specifics mentioned in the job description. Don’t skip any hands-on projects or coursework; these can be excellent talking points!

Show Off Your Problem-Solving Skills

Expect technical questions or case studies during your interview—after all, engineering is all about solving problems! Prepare a few examples of how you've tackled engineering challenges in the past, whether at university or in any practical experience. Practising with mock technical interviews can really help you articulate your thought process and solutions.

Relate Your Experience to the Role

In a full-time role, employers like Kpler want to see that you can adapt and grow within their team. Be ready to discuss how your previous internships, projects, or studies relate directly to the work you'll be doing. Highlight specific experiences that showcase your collaborative skills and how you've successfully worked within a team environment.

Know Your Tools and Software

Most engineering roles require familiarity with specific tools and software. Prepare to talk about your proficiency with programmes like AutoCAD, MATLAB, or SolidWorks if they’re relevant to the role. Even better, have examples of projects where you’ve used these tools, as it'll demonstrate your hands-on experience and readiness for the job.