AM Analytics Technology Lead

Your role

Are you a seasoned engineer with a passion for data science and AI? We are seeking a talented individual to lead our AM Analytics platform, a cutting-edge data science and AI platform that empowers our business users to develop innovative data models using the latest technologies.

Your role will be to:

• Collaborate with business stakeholders across UBS Asset Management to gather and refine requirements, ensuring their successful delivery through technology solutions. Act as a trusted advisor by identifying opportunities and guiding stakeholders on what’s possible through technology.
• Lead the development of custom capabilities and workflows within the AM Analytics solutions, overseeing the full lifecycle from functional design through development and testing.
• Ensure the AM Analytics platform is secure, scalable, and resilient, supporting business continuity and long-term growth.
• Serve as a techno-functional expert with a strong grasp of both business needs and technical architecture. Communicate effectively with diverse audiences, manage stakeholder relationships, and translate complex technical insights into actionable business value.

You will have the opportunity to join our Certified Engineer Development Program and participate in various technology guilds focused on data, artificial intelligence, and other domains aligned with your interests. These communities offer a platform to contribute across UBS, foster innovation, and expand your expertise.me]

Your team

You’ll be joining Asset Management Technology—a truly global and diverse organization of around 1,200 professionals—and take on a leadership role within the AM Technology Data Services agile crew.

At Asset Management Technology, our mission is to drive sustainable investment outcomes and empower our teams through innovation. We are a client-focused, forward-thinking organization that values creativity and collaboration. Our culture fosters individual growth and team excellence, supported by data-driven, scalable platforms that align with business goals. We take pride in our work, celebrate our achievements, and thrive in a dynamic, high-performing environment.

Your expertise

• proven, hands-on experience in data engineering with strong proficiency in Python, SQL, Azure Kubernetes, and Azure Cloud. Exposure to AI, DevOps practices, and web service integration is highly valued.
• solid background in relational databases such as PostgreSQL, Oracle SQL, Microsoft SQL Server, and MySQL; experience with non-relational databases is a plus.
• strong knowledge of data engineering practices, including data profiling and ETL/ELT pipeline development.
• experience with big data platforms such as Databricks, Cassandra, Apache Spark, and Hadoop.
• skilled in working with distributed systems, clustering, and replication technologies.
• experience with data visualization tools such as Power BI and Tableau is a plus.
• practical experience with machine learning frameworks including TensorFlow, PyTorch, and scikit-learn.
• familiarity with natural language processing (NLP) and AI model development and deployment workflows (e.g., MLOps).
• comfortable working in a collaborative, multi-site environment using Agile software development methodologies.
• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• over 5 years of diverse experience in designing and managing innovative analytics and AI solutions; experience in the financial or fintech industry is a strong advantage.