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Junior Data Scientist; f/m/d
Job in
Zürich, 8058, Zurich, Kanton Zürich, Switzerland
Listed on 2026-06-01
Listing for:
Bank Julius Bär & Co. Ltd.
Full Time
position Listed on 2026-06-01
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist
Job Description & How to Apply Below
Location: Zürich
At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, entrepreneurial, empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.
Responsibilities- Lead and support data analytics and business intelligence initiatives with a focus on Non‑Financial Risk (e.g., Anti‑Money Laundering, Client Review or Sanctions).
- Collaborate with internal IT and external providers to conduct in‑depth analyses and identify best‑in‑class solutions using the latest technology and the Compliance Analytics & Transformation in‑house built infrastructure.
- Design, develop, monitor, and document predictive models following industry best practices and sound theoretical foundations.
- Work closely with senior stakeholders to design quantitative solutions using different analytical principles to optimise various banking processes.
- Assess and manage change requests raised by the business.
- Execute regular and ad‑hoc analysis and reports.
- Master or Bachelor’s degree from a university of applied sciences in STEM fields (science, technology, engineering, mathematics).
- 2–3 years of banking experience with a focus on Compliance, Risk Management, and Legal.
- Strong communication skills with the ability to decompose complex solutions and data insights into a compelling storyline for the rest of the organisation.
- Comfortable working in a fast‑paced, agile environment where things evolve quickly.
- Enthusiastic about leveraging data and statistics to solve complex problems and curious to learn new things and apply out‑of‑the‑box thinking.
- Team‑oriented and enjoys collaborating with diverse experts, listening to different ideas, and voicing your own to deliver the best possible outcome.
- Strong database programming skills (e.g., SQL).
- Proficient in programming (e.g., Python, R, Java, or C++).
- Experience in project management or business analysis.
- Fluent in English; additional languages are an advantage.
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