Your role

Do you have a passion for building technology platforms? Do you have strong Python and SQL development experience?

Do you long for a challenging environment where you can leverage your problem-solving skills?

Evidence Lab Data and Analytics provides data access and analysis platforms to internal Research Analysts as well as external Fundamental and Quant clients.
We are looking for someone who can:

• co-develop and deliver along our API and data distribution product vision, strategy and roadmap covering the full product development lifecycle
• write clean, efficient and maintainable code in Python and SQL (Java experience helpful)
• support new products and product changes iteratively and continuously together with cross-functional team members in the pod
• participate in software development life cycle activities including requirements analysis, design, coding, testing and deployment
• drive pod Objective and Key Results (OKRs) and provide relevant product measurements and metrics to meet overall business goals
• ensure the product is being tested together with business partners and IT to gain insights and ensure readiness to launch before rollout
• support end to end business operations for a successful implementation (e.g. conducting training, updating documentation, providing product support, resolving incidents and remediating the root cause of risks and issues)
• ensure continued high data quality and reliability by proposing and implementing data quality checks

Your team

Based in New York, you'll be working within Evidence Lab as part of a global team.

Your expertise

•strong industry experience in Python development - can demonstrate all OOP concepts, Pandas, NumPy, DuckDB

•strong database experience including expertise in writing SQL (ideally Oracle and/or Postgres)

•exposure to cloud (ideally Azure), ADLS, Terraform, AKV and migration of applications from on-premise to cloud

•experience with source code management, Gitlab, build pipelines, CI/CD

•experience with JupyterHub, kernels, Docker, Kubernetes, etc.

•proven understanding of data integration, architecture, data quality, performance, monitoring, and reporting

•experience in analyzing and capturing technical requirements as stories with acceptance criteria fulfilling a Definition of Ready

•proven ability to write unit and integration tests

•experience working in agile environments with understanding of agile delivery frameworks

About us

UBS is the world's largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..

We have a presence in all major financial centers in more than 50 countries.

Join us

At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we're more than ourselves. Ready to be part of #teamUBS and make an impact?

Disclaimer / Policy Statements

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.