Quantitative Finance Developer Summer Internship at Morgan Stanley #vacancy #remote

Languages

English Limited working proficiency

Required skills

Position description, tasks

You will:

  • Build models to calculate prices and risks for different assets using a statistical techniques or Monte Carlo simulations 
  • Apply machine learning techniques to implement automated trading bots or build web applications to monitor market movements 
  • Provide detailed performance reports to the management 

Expectations

You have:

  • Ongoing studies (BSc, MSc or PhD) in Computer Science, Mathematics, Physics, Engineering, Economics or similar disciplines
  • Hands-on experience in any widespread programming language (Python, C++, Java, C#, JavaScript, Perl, Ruby, PHP, R etc.)
  • Fluency in English, both verbal and written
  • Affinity towards mathematics, crunching numbers and visualizing relations between them

What we offer

We offer

  • A supportive and dynamic multinational environment within an inspiring international team 
  • Continuous development opportunities and access to comprehensive training tools 
  • An introduction to Morgan Stanley and a deep dive into how technology drives the investment banking business 
  • Participation in the firm’s networking events 
  • Flexibility and opportunity to work from home 
  • Internship extension / Full-time offer upon graduation 

Payment

Paid job

Internship

no degree required

Remote work possibility

No

Schedule

  • Start of work: as soon as possible
  • End of work: open ended
  • Working hours: 20 hours a week

Basic details

  • Specialization: IT software & web
  • Student status: required
  • Required education: no degree required

Place of work Budapest, Lechner Ödön fasor 8, 1095 Hungary Show on map

PHP statistics mathematics Python Computer Science Web quantitative-finance web-applications JavaScript Networking physics C++ Perl remote work programming-languages economics Machine Learning Java Engineering Ruby Flexibility C# Software Developer

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