Senior Credit Data Scientist

Location: Greater London

Senior Credit Data Scientist page is loaded## Senior Credit Data Scientist locations:
London York Roadtime type:
Full time posted on:
Posted Todayjob requisition :
R195786, United Kingdom
** Job Family Group:
** Finance
* * Worker Type:
** Regular
* * Posting

Start Date:

** January 14, 2026
** Business Unit:
** Finance
* * Experience Level:
** Experienced Professionals
*
* Job Description:

** 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.
* 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.  Qlik View, or similar data…