, India
Job Family Group:
Finance
Worker Type:
Regular
Posting Start Date:
September 1, 2026
Business Unit:
Finance
Experience Level:
Experienced Professionals
Job Description:
What’s the role
It is recognised that the size and complexity of Shell Trading & Supply (T&S) has increased substantially over the past few years and the expectations around risk management from a regulatory perspective have also shifted for Energy Trading. As a result, and also recognising the potential to unlock additional value from enhanced risk management of our trading activities, a strategic decision has been made to make a major investment over the next 3-4 years to strengthen the risk management capabilities of the organisation from a people, process, data and systems perspective in both the first and second lines of defence.
Sr. Specialist - Data Analytics team within Credit focuses on the delivery of regular and ad hoc credit risk reporting and portfolio analytics to the commercial teams, the risk management teams and various other stakeholders such as the TSLT, EC and the production of risk information which will flow into external financial reporting.
This role relates to Trading & Supply (T&S). Primary stakeholders are commercial teams, credit risk managers located in T&S hubs of London, Houston, Rotterdam, Dubai and Singapore. The role is focused on providing support for credit reporting and analytics activities globally.
What you will be doing
- Support the development and operations of global credit risk reporting activities within T&S, including working with IT and other organisations to resolve issues where they arise.
- Develop and conduct credit risk analytics on both a pre- and post-deal basis; including, but not limited to, Potential Future Exposure (PFE), portfolio analytics, expected credit loss (ECL), credit value adjustment (CVA), credit reserves and cost of credit analysis.
- Combine business understanding with logical data modelling and process design skills to integrate new T&S businesses and enhanced activities into global operations.
- Ensure reporting and analytical tools have clear and appropriate documentation and controls.
- Develop and enhance appropriate data visualisations to support the use of credit reporting and analytics – e.g. Spotfire, Power BI and/or other visualisation tools.
- Understand the key ETRMs of T&S, with in-depth knowledge of how systems in their region interact with Risk systems and tools.
- Train users on how to conduct analysis in tools developed and supported by Risk.
- Provide support and direction to Risk colleagues.
- Collaborate with and support Commercial / Credit / Market Risk / Valuation teams with production reporting, transformation projects and other ad-hoc requests.
What you bring
- Hands on experience on analytics projects
- At least 5 years of relevant working experience
- Practical experience applying AI/ML techniques in an analytical or risk context – including predictive modelling, classification, anomaly detection, or NLP.
- Strong Python skills for data analysis and automation, with working knowledge of machine learning frameworks (e.g. scikit-learn, XGBoost, statsmodels) and data science libraries (pandas, numpy, scipy)
- Experience with database programming languages, data engineering and data transformation.
- Excellent attention to detail, methodical, organized and able to plan to meet deadlines.
- Resilient when working under pressure, with the ability to prioritise tasks to meet deadlines
- Self-starter, highly motivated, outcome driven.
- Good judgement to provide advice, question discrepancies, escalate issues.
- Learner mindset: innovative and creative, excellent problem-solving capabilities including the ability to analyse, model and interpret data.
- Strong interpersonal and team working skills in order to communicate with various different stakeholders across Risk, IT and Commercial, all with varying needs.
- Knowledge of Apache Airflow, Azure Data Factory, or equivalent orchestration tools for pipeline automation would be preferred.
- Exposure to Azure Data Mesh architecture, data product thinking, or MLOps practices would be preferred.
- Experience in data visualisation – Power BI, Spotfire, QlikSense or other, would be preferred.
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.
Join an organisation working 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.
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We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply, and we’ll take it from there.
Shell is a diversified energy company in India with 13,000 employees, and presence in Integrated Gas, Downstream, Power, Renewable and Upstream. Additionally, we have deep capabilities in R&D, digitalisation , and business operations.
Our global strategy, Powering Progress, is designed to generate value for our shareholders, customers, and the wider society, and focuses on creating more value with less emissions. The strategy supports our purpose of providing more and cleaner energy solutions, with the aim of profitably transforming Shell into a net-zero emissions energy business by 2050. As India moves towards its target of net-zero emissions by 2070, Shell India aims to play a leading role in securing vital energy for today, while investing in, and helping to build, the energy system of the future through strategic investments in the country.
Our Lubricants business serves over 50,000 consumers through a strong network of over 200 distributors, and operates an end-to-end value chain that spans conceptualization, development, and production at a world-class blending plant at Taloja. Through our 350-plus retail stations, we offer an integrated mobility experience including fuels, cafes, and convenience stores, with a prominent network of EV recharging facilities.
Shell owns and operates a LNG re-gasification terminal at Hazira, Surat, with a capacity of 5 MTPA and a LNG truck-loading unit that plays a crucial role in helping meet India’s growing demand for gas across sectors. In 2022, Shell acquired Sprng Energy in a $1.55 billion deal to build an integrated energy transition business in the country. Sprng is a leading renewable energy company in India which develops and manages solar, wind, and hybrid power generation facilities and infrastructure.
Our three capability centres across Bangalore and Chennai serve as a technology and innovation powerhouse for Shell globally, working as a delivery engine for core technical, digital, and finance processes: pioneering digital innovation and cutting-edge technologies across the energy sector. We also have strong academic partnerships and collaborations with leading universities and technology institutes to accelerate decarbonization efforts within the energy sector.
We are committed to positively contributing to the communities in which we operate through programmes on STEM Education, Skilling, and Livelihood across India. We nurture and invest in startups developing initiatives focused on accelerating energy innovation through programs such as Shell E4 and Shell Eco-marathon. We also have strategic investments in new energy companies such as Husk Power, d.light , Orb Energy, and Cleantech Solar.
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