AM Analytics Software Engineer

Business DivisionsGroup FunctionsYour roleAre you a seasoned engineer with a passion for data science and AI? Do you want to build your analytics and AI engineering skills whilst creating impactful applications?We are seeking an AM Analytics Software Engineer to:

• collaborate with CDO and business partners in the UBS Asset Management to address development of new requirements and support the business for any issues and queries on the data and analytics
• act as a US point of contact for the AM Analytics users in the US and lead the development from US within the AM Analytics solutions, working closely with the team across the other regions
• ensure the AM Analytics platform is secure, scalable, and resilient, supporting business continuity and long-term growth
• serve as a techno-functional engineer with a strong grasp of technical architecture and some good understanding of the business needs
• communicate effectively with diverse audiences, manage relationships, and translate complex technical insights into actionable business value
• could 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

Detailed salary information:

• Weehawken, New York: the salary range for this role is $120000 to $160000

The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit .Function CategoryInformation Technology (IT)Join usAt 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?Your teamYou’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

• ideally 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
• Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent practical experience
• proven, hands-on experience in data engineering with strong proficiency in Python, SQL, Azure Kubernetes, and Azure Cloud and 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 and experience with data visualization tools such as Power BI and Tableau is a plus
• skilled in working with distributed systems, clustering, and replication technologies and 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)

“At UBS, we appreciate our Veterans and are committed to providing opportunities in Financial Services.”*LI-UBS
*UBS-MOGULAbout usUBS 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.How we hireWe may request you to complete one or more assessments during the application process.Salary informationUS Only: The expected salary range for this role is $120000 to $160000 based on factors including, but not limited to, experience, qualifications, education, location and skill level. Please see «Your role» section for detailed salary information.