Data Scientist 100% (f/m/d)

Description

The company is a wealth manager whose Compliance organisation has an Analytics and Transformation team. The team works with Risk, Compliance, Analytics and Legal experts to solve complex analytical problems and to make risk management more efficient and effective.

The role is 100% (f/m/d).

Responsibilities

• Lead and support data analytics and business intelligence work, focused on Non-Financial Risk such as Anti-Money Laundering (AML), Client Review, Fraud or Sanctions.
• Work with internal IT and external providers to run in-depth analyses and find top solutions, using current technology and the Compliance Analytics & Transformation in-house infrastructure.
• Design, build, monitor and document predictive models that follow industry best practice and a sound theoretical basis.
• Work closely with senior stakeholders to build quantitative solutions that apply analytical methods to improve banking processes.
• Assess and manage change requests raised by the business.
• Run regular and ad-hoc analyses and reports.

Requirements

• A Master's or Bachelor's degree from a university of applied sciences in a STEM field (science, technology, engineering or mathematics).
• At least 5 years of banking experience focused on Compliance, Risk Management and Legal.
• Proven experience meeting audit and regulatory expectations.
• Strong communication skills, able to turn complex solutions and data insights into a clear storyline for the wider organisation.
• Comfortable in a fast-paced, quickly changing environment, and work in an agile way.
• Enthusiasm for using data and statistics to solve complex problems.
• Curiosity to learn new things, with out-of-the-box thinking that challenges the status quo and proposes new solutions on your own initiative.
• Enjoy teamwork with diverse experts: listen to other ideas, share your own, and aim for the best outcome.
• Strong database programming skills, for example in SQL.
• Proficiency in a programming language such as Python, R or Java.
• Experience in project management or business analysis.
• Fluent English, the main business language. Other languages are an advantage.

Conditions

Apply through the company's online application tool. Equal opportunity applies to all candidates.