3 statistics jobs found in Geneva

Investments Data Analyst - Portfolio Guardian 12 months temporary mission About COO Investment Management: The COO Investment Management department at Union Bancaire Privée (UBP) is the operational backbone of the bank’s investment platform. It orchestrates the strategy, governance, processes, data, and technology that enable UBP’s investment teams to deliver high-quality, compliant, and scalable outcomes for clients across discretionary, advisory, and fund management activities. Mission You will Work inside the Investments COO Investment Management (COO IM) Office and engage with our Buy-Side stakeholders, Discretionary Portfolio Managers (DPM), Product Specialists and Buy Side Analysts. As a Portfolio Guardian, your mission is to safeguard the integrity, consistency, and client alignment of our managed portfolios across their entire lifecycle. You will act as the first line of defense for portfolio quality — ensuring that investment intent is...

Senior Scientist — Data Science & AI, Industrial Process Analytics Location: Delft(NL) OR Geneva(CH) Are you excited to apply modern data science to real production plants, help process engineers act faster, smarter, and deliver measurable sustainability impact? Join our Industrial Process Analytics team to build advanced analytics that optimize chemical and biochemical manufacturing at scale. Key responsibilities: Design, build, and ship scalable data science applications for manufacturing - from first idea to validated, deployed product. Implement model‑ and data‑driven approaches that support plant engineers and operators in day‑to‑day decisions. Collaborate in multi‑disciplinary teams (data scientists, process/chemical engineers, cloud & data engineers, reliability and production experts) to improve yield, throughput, quality, reliability, and sustainability. Generate insights and convert them into measurable impact. Champion a data‑driven mindset...

Data is at the core of what we deliver for a growing number of our clients — and we need someone who can turn raw, messy data into clear, reliable insights. You’ll work across dashboards, pipelines, and reporting setups, and you’ll be the person clients trust to make sense of their numbers. What you’ll be doing You’ll define KPIs, build dashboards, write queries, and set up pipelines that keep data flowing cleanly. You’ll work directly with clients to understand what they need, and with our tech team to make it happen. Define data dictionaries, KPIs, and metric hierarchies with clients and stakeholders Write and optimise SQL queries across relational and cloud data warehouses Build data transformation pipelines and automation flows Design and build interactive dashboards with drill-downs, filters, and cross-source blending Integrate data from REST APIs and third-party platforms Normalise and clean raw data — handle deviations, nulls, and schema inconsistencies...