Senior Data Analytics and AI Team Lead

Your role

Do you want to drive the engineering excellence of UBS products in alignment with our digital principles and technology strategy? Are you an ambassador of the new ways of working and culture? Do you enjoy creating an environment where pods dare to and feel encouraged to take responsibility for their own mission?

At UBS, we re-imagine the way we work, the way we connect with each other - our colleagues, clients and partners - and the way we deliver value. Being agile will make us more responsive, more adaptable, and ultimately more innovative.

We are looking for Data Analytics and AI Team Lead:

• work with the business to identify/analyze automation opportunity and then design and implement technical solutions to make the process more intelligent and automated • implement Early Warning Indicators, extract data from unstructured documents, generate a commentary from data and unstructured documents, classification of data etc.• implement and deliver high quality software solutions / components for the Credit Risk Monitoring platform• demonstrate superior collaboration skills in working closely with other development teams to roll-out important business improvement programs• leverage expertise to mentor and lead developers; review code/designs and ensure adherence to standards• understand financial products and work with Credit Officers to play a key role in platform modernization

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.

Your team

You will be working within Credit Risk Monitoring Stream, working closely with colleagues in US, UK, Zurich and India including Credit Officers, Product Managers, Business Analysts and developers. As a seasoned Data Analytics / AI team lead, you will work together with business users and members of the development team to provide quality solutions that improve productivity, enable the business to expand and make users smile. Credit Risk Officers need more automation and intelligence in the applications to better understand the risk and this role offers you the opportunity to craft the future technical direction and take ownership for analytics and AI components.

Diversity helps us grow, together. That's why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

Your expertise

• very good analytical and development skills and the ability to grasp complex business or technical issues in a structured and efficient manner• experience of working in AI/ML/NLP technologies including Python, PySpark, Databricks, and knowledge of some open-source AI libraries• solid understanding of financial products including Repos, Stock Borrow/Loan, OTC and Exchange Traded Derivatives• ideally 15+ years experience in application design and development using Java Spring Boot, REST for implementing projects with high SLA of data availability and data quality. Understanding of high volume and high performance, scalable application design experience with Java/J2EE is essential• experience of building cloud ready and migrating applications using Azure and understanding of the Azure Native Cloud services, software design and enterprise integration patterns• experience using DevOps toolsets like GitLab, Jenkins, TDD/BDD tools like PyTest, Cucumber• experience of working on Kubernetes / OpenShift, Containerization (Docker, Podman or Similar), Cloud Native technologies and frameworks (e.g. Spring Boot)

"At UBS, we appreciate our Veterans and are committed to providing opportunities in Financial Services."

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.

Salary information

CA, CO, WA and NY based roles: The salary range for this role is $200,000 to $275,000 based on experience, education, and skill level. This role may be eligible for discretionary incentive compensation. For benefits information: ubs.com/usbenefits.