About EY

As a global leader in assurance, tax, transaction and consulting services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

If you like to challenge your skills, learn through cooperation with experienced professionals and have access to an ever-growing knowledge base – EY is the right place for you.

JOB DESCRIPTION

As an 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.

REQUIREMENTS

• Near graduate (final year of studies) or fresh graduate student in a relevant quantitative field such as mathematics, statistics, physics, computer science, or engineering because you will work on developing or validating mathematical models.
• Interest in banking 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.
• Understanding of 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.

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 OFFER

• 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.