Quant Intern in EY Risk Consulting

Location: Belgrade, RS, 11070

Quant Intern in EY Risk Consulting

Location

Belgrade

Other locations

Primary Location Only

Date

Oct 23, 2026

Requisition ID

1755496

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity

As a Quant Intern, you will be involved in supporting projects that focus on statistical models development and validation, simulations and scenario analyses. The most of statistical models and simulations on which you will work are used in risk management and accounting purposes in financial institutions, mainly banks. The role will best suit a motivated and ambitious team player who has a passion for financial model development and is open to continuous learning.

Your key responsibilities

• Support the development and validation of statistical models for risk assessment and financial analysis within the Financial Services and Risk Management Team.
• Engage in data collection, cleaning, and processing to facilitate accurate and insightful financial modeling and back-testing.
• Conduct research on financial markets, economic trends, and quantitative finance methodologies to inform model development and risk management strategies.
• Contribute to the team's efforts in managing various financial risks, including credit, market, operational, and liquidity risks, using advanced quantitative techniques.
• Support in documenting quantitative methodologies, procedures, and analysis results, maintaining organized records for model development, testing, and validation.
• Assisting in the preparation of client proposals and pre-sales materials.

What we look for

• Near graduate (final year of studies) in a relevant quantitative or financial field such as econometrics, statistics, mathematics, finance or economics because you will work on developing or validating mathematical models for financial institutions.
• Understanding of banking business and general financial services because you will dominantly work with or for clients from that industry sector.
• Solid understanding of probability theory and statistics because you will need them to build, defend and judge both your and clients’ models.
• Familiarity with at least one programming language for statistical computing and data visualization (R or Python are preferable), because those are efficient tools for developing and interpretation of statistical models which we are used in regular work.

Skills and attributes for success

• Understanding databases and SQL because you will work with lots of data.
• Excellent analytical skills because you will work on analyzing clients’ data.
• Knowledge of MS Office, especially MS Word, MS Excel and MS PowerPoint, because you will use it for documenting and presenting of statistical model development process and results.
• Team player who can take the initiative and ownership of tasks.

What we offer you

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.

• Opportunity to expand your knowledge in areas of financial risk statistical models, risk management, financial management, and regulatory landscape by resolving challenges that our clients are facing.
• Getting to know best practices applied in banks and other financial institutions in Serbia, Montenegro, BiH, Croatia, and other countries from the first-hand experience.
• Being part of a tightly knit team that is constantly growing and developing.

Are you ready to shape your future with confidence? Apply today.

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Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.