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Job
Quantitative Developer – Global Capital Markets
Backend Developer
• On-site
• Full-time
• 📍 Budapest
Morgan Stanley's Budapest-based Global Capital Markets (GCM) division is looking for a self-motivated developer with strong technical and quantitative skills to build data-driven, productivity and risk-reduction solutions for the business.
Responsibilities
- ▹Partner with GCM stakeholders, strategists and controllers globally to develop metrics that provide actionable business insights and automate processes
- ▹Engineer reporting solutions, including data feeds, data storage optimization and metric calculations
- ▹Design, build and support business-facing tools and analytics solutions, including client targeting, management reporting and automated content generation
- ▹Design and build a secure and efficient system architecture
Requirements
- ▹Bachelor's or advanced degree in a quantitative field (Mathematics, Computer Science/Engineering or Finance/Economics) with software development experience
- ▹At least 3-4 years of relevant experience in a programming or quantitative role
- ▹Strong programming skills in at least one general purpose language (Python, C++, Java, JavaScript), experience with distributed computing environments
- ▹Knowledge of system design patterns and experience in system architecture
- ▹Experience leveraging AI-assisted development tools (e.g. GitHub Copilot or other LLMs)
- ▹Excellent stakeholder management skills, ability to build trusted partnerships across a global organization and all seniority levels
- ▹Strong time management skills, able to work on simultaneous items across multiple stakeholders with short lead times
Soft skills
Stakeholder management and trust-building in a global, multicultural organizationCollaboration across all seniority levelsTime management, handling parallel workstreams
What we offer
- ▹Flexible working arrangements (hybrid)
About the company
For 90 years, Morgan Stanley has been a global leader in financial services, raising, managing and allocating capital for clients worldwide, with more than 80,000 employees across 1,200 offices in 42 countries.
Education: Matematika, informatika/mérnöki vagy pénzügy/közgazdaság területén szerzett egyetemi vagy posztgraduális diploma
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