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Your team You'll be working in the Group Treasury Technology team based in our London 5 Broadgate offices. Our team makes sure that as a business we get the most out of our technology investment by collaborating with colleagues, delivering on projects and outlining the technical roadmap using our combined knowledge. The team is global working across UK, Switzerland, Poland, India and US. You could be working for one of the top investment banks and a leader in global wealth management. You will have huge potential to grow with a direct impact in contributing towards our engineering-driven culture
Delivery Focused - Manage the program delivery end-end. Be the accountable IT lead on a number of large strategic regulatory and restructuring initiatives
You will have experience building successful relationships and providing technology guidance and advise to Senior Treasury Heads, Desk data scientists and senior technology stakeholders.
Partner with business stakeholders to understand their objectives and develop a technology strategy and roadmap to support those goals
You enjoy cross team collaboration especially with the Data Scientists, business & quants
Focus on stability - partner with Technology Services Group for infrastructure and production support activities
provide visibility into progress, risks and issues in regular stakeholder updates
understand and be accountable for all technology risk and control requirements
partner with our CTO to help define enterprise architecture and standard
Hands on Dev Lead experience in data engineering, big data, distributed/cloud computing and have a proven track record of delivery
Working with predictive analysts and data scientists, build scalable prototypes of machine learning algorithms, build production quality codes, manage and maintain the code base
Hands on Dev Lead experience with building out and supporting applications with Microservices architecture (Docker / Kubernetes)
Hands on experience of big data technologies and frameworks (i.e. Hadoop, Spark, Hive, Kafka, etc.)
Involved in the definition and execution of data governance and data management solutions
Hands on Data Science and Analytics experience is a plus (Machine Learning, Scala, Python, R, etc.)
you have experience in building highly scalable, supportable, highly reliable front-back infrastructure
you have experience in automating everything across the development lifecycle (CICD / Automated testing / Automated deployment)
you have experience in building & running platforms based on containers / container orchestration (Docker / Kubernetes)
About us Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world.
We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
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.