FID Research - Spring Intern Program null

Your role

• Collaborate with global fixed-income research strategists to develop data analysis infrastructures.
• Acquire, clean, and analyze data sets to identify trends and patterns.
• Develop quantitative models using econometrics and machine learning.
• Build web applications for market monitoring and interactive tools for model usability.
• Respond to bespoke data analysis requests from clients and stakeholders.
• Automate report and data-pack delivery to clients.

About you

• Master's degree or higher in a quantitative field such as Financial Mathematics, Statistics, Data Science, Engineering, Physics, or Economics.
• Experience with statistical model development, modelling best practices and methodologies in the areas of data processing, sampling, and model design/specification.
• Hands-on experience in any programming language (Python, C++, Q, Perl, JavaScript).
• Excellent verbal, written, and interpersonal communication skills.
• Genuine interest and understanding of financial markets.
• Analytical, insightful, quick learner, team player, and multi-tasker with a positive attitude.

Compensation & benefits

Morgan Stanley offers competitive financial and non-financial benefits, including comprehensive employee perks and a supportive work environment.

Training & development

Interns receive structured learning sessions from senior executives and have opportunities for networking, social, and mentoring events.

Career progression

Successful interns may have opportunities to advance within Morgan Stanley's global businesses, with potential for career growth across various sectors.