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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 EY’s full spectrum of services, we’ve 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 (Bachelor’s or Master’s) 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 EY’s 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, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll 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.