A Director-level Model Application Developer role in Finance Technology, joining a newly forming team in Budapest that builds a modern forecasting platform used across Finance at Morgan Stanley. The role involves designing applications and data workflows that power financial forecasting, working with large datasets, building model pipelines, and introducing AI-enabled capabilities.
Stack
Responsibilities
- ▹Build and enhance systems that support financial forecasting and analysis
- ▹Develop reliable data pipelines, services and workflows for model execution
- ▹Translate business needs into practical, scalable technical solutions
- ▹Contribute to AI-driven features that make forecasting more efficient and intelligent
- ▹Troubleshoot issues across data, processing and application layers and implement long-term fixes
- ▹Create clear technical documentation
Requirements
- ▹Bachelor's degree in computer science/engineering/related field or equivalent practical experience
- ▹6+ years of object-oriented coding experience (preferably Java or Scala)
- ▹Strong knowledge of databases (relational/NoSQL) and query languages
- ▹Hands-on experience with AI tools that accelerate code development or agentic solutions
- ▹Experience building data pipelines, orchestration services and automation
- ▹Foundational data science knowledge
Nice to have
- ▹Prior exposure to the finance or investment banking domain
Soft skills
Strong analytical and problem-solving skillsDynamic, flexible and solution-orientedAdaptable to changing prioritiesStrong written and verbal communication in a global team
What we offer
- ▹Comprehensive employee benefits and perks
- ▹Hybrid working arrangement
Languages: angol
Education: BSc informatika, mérnöki vagy kapcsolódó területen, vagy ezzel egyenértékű gyakorlati tapasztalat