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Modelling & Analytics Credit Analyst

On-site in Torre MOEVE·Added 1 month ago (last checked 2 Nov)

Cepsa

51 open roles

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Our summary

Work mode: On-site, Torre MOEVE
English: Required
Experience: 2+ years
Education: University degree

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Skills

Nice to have

Requirements

What we're looking for

2-3 years of experience in quantitative risk, counterparty credit risk, market risk, financial modelling or commodity trading analytics. Candidates with slightly less experience may also be considered where they demonstrate strong quantitative modelling and programming capabilities.
Degree in Mathematics, Physics, Engineering, Statistics, Computer Science, Quantitative Economics or another relevant quantitative discipline.
Solid programming skills in Python, including experience with numerical and data analysis libraries such as NumPy, Pandas and SciPy. Knowledge of SQL and experience working with structured data are highly desirable.
Solid understanding of probability, statistics, stochastic modelling and simulation techniques, including Monte Carlo methods.
Understanding of financial risk measurement and familiarity with counterparty credit exposure, netting, collateral or other contractual risk mitigants.
Good English and Spanish communication skills, both verbal and written.

Nice to have

Strong analytical mindset, with the ability to break down complex exposures, challenge modelling assumptions and identify the key drivers of risk.
High attention to detail, data quality, controls and the reproducibility of quantitative results.
Practical problem-solver, comfortable investigating data issues, methodological limitations and unexpected model outputs.
Clear communicator and collaborative team player, able to explain quantitative concepts and work constructively across risk, business and technology functions while maintaining ownership of assigned deliverables.
Curious and committed to continuous learning, particularly in counterparty exposure, energy markets, credit risk mitigation and portfolio risk.
Organized and reliable, with the ability to manage competing priorities and deliver robust analytical work in a dynamic environment.

The role

At Moeve, we're driving a transformative strategy called "Positive Motion," focused on greening our revenue streams. As part of this vision, our Trading team plays a crucial role in optimizing value from both legacy hydrocarbons and emerging energy flows. Trading is key to maximizing value by expanding and leveraging our platform. The Risk team plays a key role in supporting trading activities by developing and maintaining cutting-edge tools and models to measure and manage risk effectively across the portfolio.

As part of the Modelling & Analytics team, you will contribute to the development of Moeve's counterparty credit risk capabilities. Your primary focus will be on building robust, transparent and scalable methodologies to measure and aggregate credit exposure at trade, counterparty and portfolio level, incorporating contractual risk mitigants and concentration risk. You will also support pragmatic Probability of Default modelling for Expected Loss and Unexpected Loss measurement.

What you'll do

Develop and maintain methodologies and tools to measure and aggregate counterparty credit exposure at trade, counterparty and portfolio level across energy commodities, derivatives and physical contracts.
Develop quantitative models to simulate the evolution of commodity market risk factors and generate future exposure profiles and metrics, including Current Exposure, Expected Exposure (EE) and Potential Future Exposure (PFE), across different pricing, delivery and settlement windows.
Model the impact of contractual credit risk mitigants on exposure, including netting, collateral, margining, guarantees, payment terms and other relevant contractual provisions.
Analyse portfolio credit risk and concentration across counterparties, sectors, geographies, commodities and maturity profiles, considering aggregation, diversification, common risk factors and stress scenarios.
Develop pragmatic methodologies for Probability of Default (PD) and Loss Given Default (LGD) estimation, combining available quantitative indicators, external information and structured qualitative risk factors.
Integrate exposure profiles, PD and LGD assumptions into Expected Loss (EL) and Unexpected Loss (UL) metrics to support counterparty limits, risk appetite and portfolio risk analysis.
Automate and enhance recurring credit risk calculations, controls and reporting, ensuring accuracy, scalability, traceability and timely delivery.
Translate credit risk requirements, contractual terms and trading structures into robust quantitative methodologies, providing exposure and portfolio risk analytics to support credit monitoring, limit setting and risk decision-making.
Document methodologies, data sources, assumptions, controls and limitations, and support model validation, governance and audit requirements.

Hiring process

5 steps3 interviewsa task to do

Apply
First contact
Phone call
Time to get to know each other with a first call.
Aptitude tests
To explore everything you could do at Moeve.
Interview
A conversation to introduce the project and get to know you better.
Language test
Not every role
Only if the role requires it.
Hiring manager interview
With a hiring manager
So you can put a face to the name and they can tell you everything you want to know.
Closing

About Cepsa

Cepsa is a global energy company headquartered in Madrid, Spain, operating across the entire energy value chain, including exploration and production, refining, chemicals, and marketing of petroleum products. The company is undergoing a major transformation, rebranding as Moeve to reflect its commitment to sustainable energy, including biofuels, green hydrogen, and renewable power. With operations in over 20 countries and a workforce of around 11,000 employees, Cepsa is a significant player in the European energy sector.

In Spain, Cepsa operates major industrial complexes in Andalusia (San Roque and Palos de la Frontera) and has a broad network of service stations across the country. The company is actively hiring in Madrid and other locations for roles spanning data science, engineering, commercial, and operations. For international professionals, Cepsa offers opportunities to work in a dynamic, evolving energy company with a strong focus on sustainability and digital transformation, though Spanish language skills are often required for many positions.

Industry: Energy
Founded: 1929
Employees: 10,000–15,000
Headquarters: Madrid, Spain
In Spain: Madrid, San Roque, Palos de la Frontera and 3 more

Good to know if you are moving

Cepsa is headquartered in Madrid, offering a central location for international hires in the capital.
The company is rebranding as Moeve, focusing on green energy projects like biofuels and green hydrogen, which may appeal to professionals in the sustainability sector.
Many roles are based in industrial sites like San Roque (Cádiz) and Palos de la Frontera (Huelva), which are less urban but offer significant technical opportunities.
Cepsa operates in over 20 countries, providing potential for international mobility within the company.
While the company is international, Spanish language proficiency is often required for many positions, especially those in commercial and operational roles.

In their own words

Additional information

Moeve is committed to ensuring equal opportunities, identifying and developing the full potential of individuals based solely on their abilities to perform their roles and without discrimination based on sexual orientation, gender identity, gender expression, sexual characteristics, or any other aspect of diversity.

All open roles at Cepsa