Start Date
Immediate
Expiry Date
05 Dec, 25
Salary
0.0
Posted On
08 Sep, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Financial Engineering, Finance, Gamma, Econometrics, Economics, R, Python, Bond Pricing, Mathematics, English, Greeks
Industry
Financial Services
REQUIREMENTS
Studying towards a degree in Engineering, Financial Engineering, Finance, Mathematics, Sciences, Economics, Econometrics, or a related field.
Familiarity with financial products (e.g., bond pricing, Greeks such as Delta, Vega, Gamma, option pricing) is advantageous.
Experience or interest in working with data analysis tools, such as R or Python.
A strong desire to contribute to impactful projects and make a lasting difference.
Fluency in English is required.
JOB PURPOSE
What this internship represents for you:
A diverse and immersive role where you will engage with risk management experts and global stakeholders.
An opportunity to expand your network within BNP Paribas across Europe and worldwide, working with teams from APAC to the Americas.
A chance to gain a deep understanding of the Bank’s products and services, including Capital Markets and Financing activities.
The opportunity to apply academic knowledge in risk management, data analysis, and financial theory to real-world scenarios.
KEY RESPONSIBILITIES
In this internship, you will work closely with the Global Markets Tech Platforms, Global Markets Quant Research, IT and RISK. Key responsibilities include:
Assisting in the development and enhancement of dashboards in a light IT environment to improve data analysis and visualization.
Automating and industrializing processes to reduce operational risk and increase efficiency.
Supporting the optimization and industrialization of the Front-to-Finance chain and the upgrade of the Counterparty Risk Management platform.
Driving the adoption of best practices and new technologies within BNP Paribas’ Global Macro and Interest Rate trading perimeters.
Collaborating with senior colleagues in Quantitative Research and GM IT to propose and implement practical solutions for data management.