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**Quantitative Analyst - Banking Modelling & Risk** at EY-Parthenon Malta. Develop, validate, and apply quantitative models for risk management, regulatory compliance, and strategic decision-making in banking and financial services. Key responsibilities include translating theoretical concepts into practical models, such as credit risk, market risk, and balance sheet analytics. Utilize Python, R, MATLAB, or VBA (or similar) for model development and validation. Collaborate with risk, finance, and regulatory stakeholders. Required: degree in quantitative field, 2-3 years relevant experience, familiarity with financial concepts. Advantage: exposure to IFRS 9, Basel frameworks, model validation, or quantitative qualifications. Foster career growth with EY's global tools, training, and methodologies.
- Compensation
- Not specified
- City
- Not specified
- Country
- Malta
Currency: Not specified
Full Job Description
At EY, were all in to shape your future with confidence.
Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
At EY, were all in to shape your future with confidence. Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.Join EY and help to build a better working world.
At EY-Parthenon, our unique combination of transformative strategy, transactions, tax and corporate finance delivers real-world value solutions that work in practice, not just on paper. Benefiting from EYs full spectrum of services, weve reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, boards, private equity and governments every step of the way.
The opportunity
EY in Malta is expanding its capabilities in quantitative modelling across banking and financial services, and we are looking to bring in a highly analytical Quantitative Analyst to support this growth.
Our work focuses on the development, validation and application of robust quantitative models used for risk management, regulatory compliance and strategic decision making within financial institutions. This includes areas such as credit risk, market risk and balance sheet analytics.
This role is suited to someone with a strong mathematical foundation who enjoys translating theory into practical, defensible models in a real world banking context.
We are particularly interested in candidates who can take ownership of model development and validation workstreams, engage directly with client risk and finance teams, and act as a technical point of reference within engagements.
Your key responsibilities
You will be involved in:
Developing and reviewing quantitative models used in banking and financial services, including:
o Credit risk models (PD, LGD, EAD frameworks)
o Market risk and valuation models
o Scenario analysis, stress testing and capital modelling
Supporting model validation and model risk management exercises
Applying statistical and quantitative techniques to large and complex datasets
Translating model outputs into clear insights for risk, finance and regulatory stakeholders
Supporting projects related to regulatory frameworks (e.g. IFRS 9, Basel requirements)
Documenting methodologies, assumptions and limitations to ensure transparency and auditability
Working closely with client teams (risk, treasury, finance) to ensure models are practical and fit for purpose
Skills and attributes for success
Strong grounding in mathematics, statistics or quantitative finance
Ability to translate theoretical concepts into practical modelling solutions
Comfort working with large datasets and complex analytical problems
Structured thinking and attention to detail
Clear communication skills, especially in explaining technical outputs to non technical stakeholders
Curiosity and willingness to challenge assumptions
To qualify for the role, you must have
A degree (Bachelors or Masters) in Mathematics, Statistics, Physics, Engineering, Quantitative Finance or a related field
Experience in:
o Quantitative modelling within banking or financial services OR
o Development or validation of risk models
Programming or modelling capability in tools such as:
o Python / R / MATLAB / VBA (or similar)
Familiarity with financial concepts such as:
o Credit risk, market risk, or balance sheet modelling
The following would be an advantage:
Experience with IFRS 9 / Basel frameworks
Exposure to model validation or regulatory review environments
Progress toward or completion of CFA / FRM (or similar quantitative qualifications)
What we offer
Exposure to quantitative modelling work across banking and financial services
Opportunity to work on regulatory driven, high impact projects
Access to EYs global methodologies, tools and training
A strong technical environment with clear career progression pathways
The chance to develop into a specialist in quantitative risk and modelling
At EY, well develop you with future-focused skills and equip you with world-class experiences. Well empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
Are you ready to shape your future with confidence? Apply today.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.





