Job offer

Data Scientist, Full-Time (f/m/d)

Julius Baer is seeking a Data Scientist (100%) in Zurich to develop data-driven solutions and predictive models in the areas of compliance and risk analysis (including AML, fraud, and sanctions). The position requires a degree in a STEM field and at least five years of experience in banking with a focus on compliance and risk management.

Tasks

  • Lead and support data analysis and business intelligence initiatives to fulfill strategic plans in the areas of AML (Anti-Money Laundering), customer risk, fraud, and sanctions (and the various sanctions lists).
  • Work closely with Data Engineering, Information Management, and business units to design data-driven solutions that ensure ongoing efficiency and quality and support the business strategy to improve service quality, risk management, and compliance.
  • Collaborate with internal IT and external vendors to conduct in-depth analyses and design data solutions using the latest technologies, as well as the compliance analytics platform and data tools, including but not limited to ADB, PL/SQL, R, Python, Data, Tableau, Alteryx, Power BI, and QlikView.
  • Design, development, monitoring, and documentation of predictive models in accordance with industry best practices and a solid theoretical foundation.
  • Work closely with senior stakeholders to design quantitative solutions using data science principles to optimize various banking processes.
  • Evaluation and management of change requests submitted by the business units.
  • Preparation of regular and ad hoc analyses and reports.

Requirements

  • A master's or bachelor's degree from a university of applied sciences in STEM fields (science, technology, engineering, and mathematics).
  • At least 5 years of experience in the banking industry, with a focus on compliance, risk management, and legal technologies.
  • Demonstrable experience in dealing with audit and regulatory requirements.
  • Strong communication skills, with the ability to break down complex solutions and structure them into a compelling narrative for the rest of the organization.
  • As an agile employee, you enjoy working in a fast-paced environment where things evolve quickly, and you proactively suggest new solutions.
  • Enthusiasm for using data and statistics to solve complex problems and proactively proposing new solutions.
  • Team-oriented and enjoys collaborating with various experts, listening to different ideas, and expressing one’s own ideas to achieve the best possible results.

Job details

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