Your role
Do you share our belief in the power of big data? Do you want to work at the forefront of innovation and apply your data analytics skills in a state-of-the-art technology-driven trading environment?
We are looking for someone who combines a solid background in technology and data analytics with a strong interest in securities trading to:
- Help us transform the Global Wealth Management business into a truly data driven organisation with a focus on trade data
- Derive data driven insight from large amounts of complex datasets to measure trade execution performance, optimize automatic client order routing processes and help reduce risk by detecting order flow anomalies
- Deliver tools and applications based upon defined solution architecture, business requirements and UBS enterprise architecture standards
- Write clear and maintainable production code, in close interaction with our team of data scientists, business and IT
- Work directly with our Hub organization in Zurich and APAC together with global stakeholders across the securities order handling and execution value chain
- Deliver solutions and tools using unstructured data to provide sentiments and insights to client advisors and traders.
Your team
We are a part of UBS Wealth Management COO Organization and we are responsible for analysing the execution raw data through data analysis and processing in order to improve our understanding of customer behaviour. By linking the statements of the customers with the understanding of the client advisors or relationship managers, new insights can be gained. These are used to create new services and products that can be tested on the market by rapid prototyping. Based on order and execution data combined with market situations, we understand the client and market behaviour better and can produce prototypes of new services which can be quickly tested before going into production. Our goal is to produce new tools and features to our clients and client advisors based on quantitative research and development to improve their experience in client-order handling lifecycle.
Your experience and skills
You have
- University degree (MSc or PhD) in natural sciences or computer science
- Experience in developing data pipelines and data-driven applications
- Commercial experience in Python (mandatory)
- Experience with relational databases (SQL), streaming platforms (Kafka) (mandatory)
- Experience with data visualization software (Microstrategy, Power BI,…)
- Experience in automating tasks (Airflow) is a plus
- Understanding of statistics and machine-learning techniques (mandatory)
- Experience in GenAI development and application (mandatory)
- Working experience in financial services, preferably wealth management with at least 3 years of experience
- Understanding the UBS IT infrastructure is a plus
You are
- Eager to learn, highly motivated, innovative and capable to think out of the box
- Analytical and attentive to detail - in good balance with a healthy level of pragmatism
- Able to work efficiently and independently to meet deadlines under high pressure
- An excellent team player
