Computer Scientist: Models Architecture in Enterprise Platforms at UBS | NY, US | Rezi

Computer Scientist: Models Architecture in Enterprise Platforms at UBS

Computer Scientist: Models Architecture in Enterprise Platforms

UBS · NY, US

Yesterday

Computer Scientist: Models Architecture in Enterprise Platforms

UBS · NY, US

a day ago
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About the Role

Global Quantitative Research is seeking a Director, Computer Scientist: Models Architecture to help drive the next phase of our research platform evolution. This role is for an experienced software architect and platform developer with a strong computer science foundation and demonstrated experience building scalable, maintainable, and production-quality software systems. The candidate will advance the architecture, design principles, and engineering standards that underpin the research platform, and take ownership of selected existing research products and models.

Responsibilities

  • Partner closely with researchers and the embedded Research Platform team to deliver scalable platform capabilities.
  • Improve platform reliability, maintainability, transparency, reproducibility, and governance.
  • Contribute to the strategic principles driving the long-term evolution of the research platform.
  • Design and implement scalable software frameworks supporting research and production workflows.
  • Apply software engineering best practices including object-oriented design, design patterns, testing frameworks, code reviews, and version control.
  • Design clean, reusable, maintainable, and extensible software systems.
  • Review and approve critical architecture decisions and production code.
  • Mentor developers and promote engineering excellence across the Quantitative Research organization.
  • Take ownership of selected existing research products and quantitative models within Global Quantitative Research.
  • Develop sufficient understanding of inherited research models to maintain, enhance, and support them over time.
  • Collaborate closely with researchers to evolve existing models and analytical frameworks.
  • Ensure research products remain scalable, maintainable, and production-ready.
  • Support the migration of research into production environments through robust engineering and platform design.

Requirements

  • Bachelor's degree or advanced degree in Computer Science Only.
  • 5+ years of recent hands-on Python development experience. Experience must be within the last 5 years, not historical or occasional use.
  • Demonstrated ownership of production-quality Python codebases.
  • Design scalable and maintainable models.
  • Write clean reusable and extensible code.
  • Strong foundation in Data Structures.
  • Strong foundation in Algorithms.
  • Strong foundation in Complexity Analysis.
  • Strong foundation in Object-Oriented Design.
  • Strong foundation in Design Patterns.
  • Strong foundation in Software Architecture.
  • Strong foundation in Software Testing.
  • Strong foundation in Version Control Systems.
  • Proven ability to design scalable, maintainable, reusable, and extensible software systems.
  • Demonstrated experience building and supporting production software applications.
  • Strong software engineering discipline and coding standards.
  • Experience performing code reviews and maintaining engineering quality standards.
  • Ability to understand complex analytical systems and quantitative models.
  • Experience translating business or research requirements into robust software solutions.
  • Ability to work effectively with researchers, developers, and platform teams.
  • Willingness and capability to take long-term ownership of both platform capabilities and research products.

Skills

  • Python
  • Object-oriented design
  • Design patterns
  • Testing frameworks
  • Code reviews
  • Version control
  • Data Structures
  • Algorithms
  • Complexity Analysis
  • Software Architecture
  • Software Testing
  • Version Control Systems
  • Quantitative finance
  • Quantitative research
  • Graph theory
  • Graph-oriented software architectures
  • Directed Acyclic Graph (DAG) frameworks
  • Workflow orchestration
  • Dependency management systems
  • Quantitative models
  • Analytical platforms
  • Parallel computing
  • Distributed computing
  • Cloud-based infrastructure
  • Platform services
  • Machine learning systems
  • Model deployment frameworks

Location

  • New York - New York

Work Type

  • Full-time

Experience Level

  • Director
  • 5+ years

Education Level

  • Bachelor's degree
  • Advanced degree

Salary/Compensations

  • min USD 233750 - max USD 251250 /annum

Benefits

  • Competitive benefits
  • Additional variable compensation or awards may be provided

About the Company

  • UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland.
  • We also provide diversified asset management solutions and focused investment banking capabilities.
  • Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
  • We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do.
  • Because together, we’re more than ourselves.
  • Want to find out more? Visit ubs.com/careers.

Equal Opportunity

  • UBS is an Equal Opportunity Employer.
  • We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
  • We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.