WM Data Scientist

About Union Bancaire Privée (UBP)

Union Bancaire Privée (UBP) is a leading Private Bank specializing in Wealth Management (WM), offering tailored financial solutions to a diverse international clientele. Data analytics plays a key role in strengthening operational oversight, improving client understanding, and enhancing compliance and risk management processes.

As a WM Data Scientist within the COO Wealth Management office, you will work at the intersection of data science, WM operational processes, and compliance analytics. The role focuses on analyzing internal data to identify patterns in client activity, operational workflows, and risk indicators, helping the organization better detect anomalies, improve client monitoring frameworks, and strengthen decision-making.

This position goes beyond traditional reporting. You will apply statistical methods, behavioral analytics, and quantitative modelling to improve rule-based monitoring frameworks, support client lifecycle analytics, and optimize operational risk controls.

The role also includes contributing to the definition of analytical frameworks and data specifications that will support future AI initiatives within the Wealth Management COO organization.

Mission

Development of intelligent analytical solutions to complex operational and risk-related problems by extracting, transforming, modelling, and analysing data across multiple banking systems.

The role focuses particularly on analytical challenges at the intersection of WM operations, compliance monitoring, and business risk controls, including the optimisation of monitoring alerts and detection frameworks.

You will be mentored by the Head of WM Reporting & Dashboards located in our Zurich office, with occasional travel to Geneva.

Main responsibilities

• Extract, transform, and structure data from multiple internal banking systems and operational processes
• Perform advanced statistical analysis and data exploration to identify behavioural patterns in client activity and operational processes
• Analyse and refine rule-based monitoring scenarios and threshold parameters used in transaction monitoring frameworks
• Develop quantitative models and analytical approaches to improve client segmentation, lifecycle analysis, and risk indicators
• Contribute to the optimisation of monitoring alerts and detection frameworks related to client activity and transaction behaviour
• Translate analytical findings into clear insights and recommendations for operational, compliance, and management stakeholders
• Contribute to defining analytical specifications and data frameworks supporting future advanced analytics and AI initiatives

Qualifications

• Academic degree (BA/MA) in Mathematics, Statistics, Computer Science, Data Science, or a related field
• At least 5 years of experience in a similar role
• Banking experience strongly preferred, or experience in a similar data science environment
• International work experience desired for this role
• Fluent in English; additional languages are an advantage
• Experience working with large datasets and applying statistical or quantitative methods to operational, compliance, or risk-related problems
• Experience analysing rule-based monitoring frameworks, risk indicators, or behavioural patterns in financial data is highly valued
• Strong technical skills in SQL and Python
• Experience with data visualisation or business intelligence tools (e.g. Power BI) is beneficial but not the primary focus of the role
• Exposure to transaction monitoring, KYT/KYC processes, or compliance analytics is a must
• Strong analytical and curious mind with excellent research, communication, and presentation skills
• Self-discipline, quality conscious and goal-oriented approach and readiness for an agile working environment

Candidates must have the legal right to work in Switzerland at the time of hire. This position is 100% on-site in Zurich, Switzerland.

Start: asap