Data Scientist 100% (f/m/d)

Julius Baer; Zürich; On-site; CHF 130,000 - 170,000; Full time

Job summary

Julius Baer in Zurich seeks an experienced data analytics professional within the Analytics and Transformation team of Compliance to drive risk-focused insights and predictive capabilities. You will collaborate with Risk, Compliance, Analytics and Legal SMEs to implement new technologies, manage change initiatives, and deliver actionable data stories for senior stakeholders.

The role requires a strong background in banking compliance, SQL programming and statistical methods, and thrives in a

Qualifications

• Master or Bachelor’s degree from a university of applied sciences in STEM fields (science, technology, engineering, mathematics)
• At least 5 years of Banking experience with focus on Compliance, Risk Management and Legal
• Proven experience in managing audit and regulatory expectations
• Strong communication skills and ability to translate data insights into business stories
• Proficient in SQL and data analysis

Responsibilities

• Lead and support data analytics and business intelligence initiatives to success, with focus on Non-Financial Risk (e.g., AML, Client Review, Fraud or Sanctions)
• Collaborate with internal IT and external providers to conduct in-depth analyses and identify best-in-class solutions by leveraging latest technology as well as the Compliance Analytics & Transformation in-house built infrastructure
• Design, develop, monitor and document predictive models following industry best practices and sound theoretical foundation
• 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

Skills

SQL

Python

R

Java

Data analysis

Stakeholder communication

Agile

Team collaboration

Education

Bachelor's or Master's in STEM

Tools

SQL

Python

R

Java

Job description

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

Do you aspire to be part of a high performing Analytics and Transformation team within a global Compliance organisation at the forefront of the wealth management industry? In this diverse role you will implement new technologies, manage change initiatives, develop predictive models, and perform financial and economic analysis to increase the efficiency and effectiveness of risk management. Working alongside Risk, Compliance, Analytics and Legal SMEs in highly skilled, fast-paced teams you will drive business value through collaboratively solving complex analytical problems.

YOUR CHALLENGE

• Lead and support data analytics and business intelligence initiatives to success, with focus on Non-Financial Risk (e.g., Anti-Money Laundering (AML), Client Review, Fraud or Sanctions)
• Collaborate with internal IT and external providers to conduct in-depth analyses and identify best-in-class solutions by leveraging latest technology as well as the Compliance Analytics & Transformation in-house built infrastructure
• Design, develop, monitor and document predictive models following industry best practices and sound theoretical foundation
• 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

YOUR PROFILE

• Master or Bachelor’s degree from a university of applied sciences in STEM fields (science, technology, engineering, mathematics)
• At least 5 years of Banking experience with focus on Compliance, Risk Management and Legal
• Proven experience in managing audit and regulatory expectations
• Strong communication skills with the ability to decompose complex solutions and data insights into a compelling storyline for the rest of the organisation
• As an agile worker, you enjoy working in a fast-paced environment where things evolve quickly
• Enthusiastic about leveraging data and statistics to solve complex problems
• Curious to learn new things and apply out-of-the-box thinking to challenge the status quo and proactively propose new solutions
• Team-oriented and enjoy 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. in Python, R, or Java)
• Experience in project management or business analysis
• Fluent in English (main business language), any further language is an advantage