At a Glance
- Tasks: Design AI-driven analytics for credit risk reporting and portfolio insights.
- Company: Join Shell, a leader in energy trading and innovation.
- Benefits: Flexible working hours, competitive salary, and extensive training opportunities.
- Why this job: Make a real impact on the energy transition while advancing your career.
- Qualifications: Experience in advanced analytics, AI, and credit risk management.
- Other info: Diverse and inclusive culture with global career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
Where you fit in?
Shell Trading & Supply (T&S) is one of the world’s largest and most sophisticated energy trading organisations. Shell T&S integrates global trading, shipping, and supply chain operations to optimise the flow of energy products across markets. Our portfolio spans crude oil, refined products, liquefied natural gas (LNG), biofuels, power, and environmental products, enabling Shell to meet diverse customer needs while driving the energy transition. With major hubs in London, Houston, Singapore, Rotterdam, and Dubai, T&S combines cutting-edge market analytics, risk management, and supply optimisation to create value for Shell and its partners. Our mission is to power progress responsibly delivering competitive energy solutions today while innovating for a low-carbon future.
The Credit Data & Analytics (CDA) team plays a critical role in safeguarding Shell’s financial resilience by delivering high-quality credit risk reporting and portfolio analytics. Our mandate spans regular and ad hoc reporting, deep-dive portfolio analysis, and the provision of validated risk data for external financial disclosures. Serving key stakeholders - including risk management, the T&S Leadership Team, and the Executive Committee - the CDA team ensures timely, accurate, and actionable insights that enable informed decision-making and proactive risk management. By leveraging advanced analytics and fostering collaboration across functions, the CDA team supports Shell’s strategic objectives and strengthens its reputation for robust risk governance.
We are looking for a seasoned Senior Risk Reporting Analyst to strengthen our Credit Data & Analytics team. In this role, you will design and deliver advanced credit risk analytics solutions that address evolving compliance and portfolio risk challenges, while providing greater insights into exposure trends, concentrations, and emerging risks. You will combine strong technical expertise with commercial acumen to own end-to-end analytics products - from concept to deployment - ensuring they deliver measurable business impact.
What’s the role
Successful candidate will be accountable for the following:
- Design and implement AI-driven analytics to enhance credit risk reporting and portfolio insights across T&S.
- Leverage advanced analytics to build predictive models, run scenario analyses, and create early-warning indicators.
- Champion AI adoption through training, stakeholder engagement, and change management across Credit, Commercial, and Risk teams.
- Translate complex AI models into clear business impact, ensuring compliance and explainability.
- Conduct pre- and post-deal credit risk analytics, including portfolio analysis, ECL, CVA, reserves, and cost of credit.
- Build advanced dashboards and visualisations integrating AI outputs for decision-making.
- Own end-to-end analytics products, including data pipelines, dashboards, and lifecycle management.
- Ensure governance and documentation for tools and models, maintaining data quality and controls.
- Drive continuous innovation by embedding automation and advanced analytics into global credit risk processes.
- Deliver accurate, timely production reporting and support transformation projects and ad-hoc requests.
What you bring
We’re looking for candidates who demonstrate the following qualities through their experience:
- Self-starter with a learner mindset, highly motivated, innovative, and outcome driven.
- Strong expertise in advanced analytics and AI, predictive modelling, scenario analysis, and optimisation for credit risk.
- Ability to design and deploy AI-driven analytics solutions, integrating models into business workflows and promoting AI adoption across the organisation.
- Proficiency in Python, SQL, and experience with advanced Excel.
- Familiarity with AI/ML frameworks and tools like databricks.
- Skilled in data visualisation e.g. QlikView, or similar data visualization platforms.
- Understanding of model governance, including explainability principles, data quality best practices, and awareness of regulatory considerations.
- Strong analytical and problem-solving skills with the ability to interpret complex data and deliver actionable insights.
- Excellent attention to detail, organised, methodical, and able to prioritise tasks under pressure to meet deadlines.
- Effective interpersonal and communication skills to collaborate with stakeholders across Risk, IT, and Commercial teams.
Preferred Qualifications, Capabilities And Skills
- Prior credit risk experience within commodity markets (LNG, Oil, Gas, Power, Carbon).
- Exposure to conceptual, quantitative, and data challenges in complex trading environments with multiple ETRMs and diverse data sources.
- Experienced in data engineering fundamentals, including data modelling, ETL processes, and working with relational databases.
- Degree in Finance, Mathematics, or related field.
- Professional certifications such as GARP FRM, ERP or RAI.
- Experience in scaling advanced analytics and AI solutions across global operations.
What we offer
You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You’ll be able to balance your priorities as you become the best version of yourself.
- Opportunity to thrive collectively by advancing the energy transition.
- Continuously grow the transferable skills you need to get ahead.
- Work at the forefront of technology, trends, and practices.
- Collaborate with experienced colleagues with unique expertise.
- Find your balance in a values-driven culture that supports your growth.
- Benefit from flexible working hours, and hybrid work arrangements.
- Perform at your best with a competitive starting salary and annual performance related salary increase – our pay and benefits packages are considered to be among the best in the world.
- Take advantage of paid parental leave, including for non-birthing parents.
- Join an organization to become one of the most diverse and inclusive in the world.
- We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.
- Grow as you progress through diverse career opportunities in national and international teams.
- Gain access to a wide range of training and development programs.
We'd like you to know that Shell has a bold goal: to become one of the world’s most diverse and inclusive companies. We are committed to attracting a broader and more diverse pool of candidates. If this position doesn’t feel like the perfect fit for your qualifications right now, we’d still love to hear from you. Consider creating a profile in our Talent Community so we can keep you in mind for future opportunities that may align with your skills.
Shell UK remains one of the North Sea’s biggest producers, supplying around 10% of the UK’s total oil and gas needs. But perhaps the most recognisable face of Shell in the UK is our network of over 1,000 Shell-branded service stations. In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role. We aim to be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.
Senior Credit Data Scientist in London employer: Shell
Contact Detail:
Shell Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Shell or similar companies. Attend events, webinars, or even local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your advanced analytics projects, predictive models, and any AI-driven solutions you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of credit risk analytics. Be ready to discuss how you've used Python, SQL, and data visualisation tools in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Shell.
We think you need these skills to ace Senior Credit Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Credit Data Scientist role. Highlight your experience with advanced analytics, AI, and credit risk management. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit. Don’t forget to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Since this role requires strong technical expertise, be sure to highlight your proficiency in Python, SQL, and data visualisation tools. We love seeing examples of how you've used these skills in past roles, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to apply directly!
How to prepare for a job interview at Shell
✨Know Your Analytics Inside Out
Make sure you’re well-versed in advanced analytics and AI, especially as it relates to credit risk. Brush up on your predictive modelling and scenario analysis skills, and be ready to discuss how you've applied these in real-world situations.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python, SQL, and data visualisation tools like QlikView. Consider bringing examples of dashboards or models you've created to illustrate your capabilities during the interview.
✨Understand the Business Impact
It's crucial to translate complex analytics into clear business insights. Think about how your previous work has driven decision-making and risk management, and be ready to share specific examples that highlight your impact.
✨Engage with Stakeholders
Since collaboration is key in this role, prepare to discuss how you've successfully engaged with various stakeholders in the past. Highlight your communication skills and any experience you have in championing AI adoption across teams.