FRM Banking Thesis Intern: Quant Modeling & Impact

Vesting; Amsterdam; Hybrid; EUR 6,700 - 10,000; Full time

Job summary

Deloitte is seeking a Thesis Intern for Financial Risk Management in Banking to contribute to FRM projects in Amsterdam. You will engage with clients, develop quantitative analyses, and translate results for stakeholders while learning from experienced professionals.

The role requires pursuing a master’s degree in econometrics, mathematics, economics or quantitative finance, with availability for at least 3 days per week for 3 months and a strong interest in the financial sector.

Qualifications

• Enrolled in final stage of a master's degree in econometrics, mathematics, economics or quantitative finance.
• Available at least 3 days a week for a minimum of 3 months.
• Has a proposed thesis topic or interest in FRM/quantitative research.
• Resides in the Netherlands and is eligible to work there.
• Shows affinity with the financial sector and strong analytical ability.
• Demonstrates programming interest and teamwork and strong communication skills.
• Proficient in Dutch and English, both written and spoken.

Responsibilities

• Develop and communicate a strategic, innovative vision for the financial services sector.
• Engage with clients and provide advisory input on financial institutions.
• Apply quantitative modelling and data analysis skills to projects.
• Translate technical results into stakeholder-friendly impact.
• Build and expand networks within the financial services industry.

Skills

Analytical skills

Quantitative modelling

Programming

Team player

Communication skills

Dutch and English (written and spoken)

Education

Master's degree in econometrics

Master's degree in mathematics

Master's degree in economics or quantitative finance

Job description

Deloitte is seeking a Thesis Intern for Financial Risk Management in Banking to contribute to FRM projects in Amsterdam. You will engage with clients, develop quantitative analyses, and translate results for stakeholders while learning from experienced professionals.

The role requires pursuing a master’s degree in econometrics, mathematics, economics or quantitative finance, with availability for at least 3 days per week for 3 months and a strong interest in the financial sector.