Portfolio Modelling - Performance Attribution Intern

At BlackRock, they are all connected by one mission: to help more and more people experience financial well-being. Their clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without their smartest investment – the one BlackRock makes in their employees. It’s why they’re dedicated to creating an environment where their colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

Feladatok:

• The candidate will perform duties related to all aspects of performance attribution model development:
• Building and testing models, data and infrastructure in Python
• Collaborate with senior researcher and developers to specify design and test new model functionalities
• Supporting existing models in production and developing and improving model quality control procedures; maintaining and extending research framework and platform
• Investigating and resolving client queries relating to model methodology and functionality

Elvárások:

• Active BSc/MSc student status, in penultimate year, STEM related field (Econometrics, Finance, Mathematics, Statistics, Physics, Engineering or similar)
• Knowledge of mathematical and statistical theory
• Programming skills, Python, to conduct statistical/econometrics analyses
• Strong oral and written (English language) communication skills that enable complex ideas to be readily understood by team members

Előnyt jelent:

• Interest in financial modelling

If you are interested in this position, please fill out the form below and upload your CV. We will contact you as soon as possible.