Legal & Compliance Data Scientist

Aufgaben, die Sie voranbringen

Length: 6 months

Start date: March, 2019, or by arrangement

Workplace: EPFL Innovation Park, Lausanne

Academic qualification: At least four completed semesters at a university or university of applied sciences, ideally in Computer Science or Data Science

Your Benefits:

International working environment: Work in a Swiss corporation with an international outlook and cultural diversity

Shadowing days: Opportunity to gain insight into other areas of the bank and expand your knowledge

Internship events: Chance to get to know other interns, make new contacts across different areas, and build up a network at various events

Full-time perspective: Possibility of a position in the Career Start program after successfully completing the internship and finishing your studies

Mehr Möglichkeiten für Ihre Entwicklung

  • You have a challenging role within the dynamic, international and demanding environment of the Data Analytics team for Compliance in Lausanne
  • You have the opportunity to gain an in-depth insight into the Anti Money Laundering sector
  • You join an open-minded, highly motivated and forward-thinking team, whose team spirit and specific expertise guarantee an exciting working environment and growth opportunities
  • You have opportunities to grow within our organization and to develop knowhow on various topics
  • You gain practical experience within a bank
  • You perform a variety of tasks in the areas of Data Science/ Natural Language Processing

Ihr Profil, um gemeinsam etwas zu bewegen

  • Are you a communicative and loyal person with a strong willingness to help?
  • Do you take responsibility for your actions and dedicatedly meet challenges?
  • Are you interested in the financial sector and seeking interesting challenges?
  • The quality of your work meets high standards and you take last-minute schedule changes in stride
  • You have well-developed conceptual skills
  • Your high-level of confidentiality, integrity and responsibility enables you to deal with critical and confidential data
  • As demonstrated standout colleague, self-starter and independent thinker, you are willing to collaborate in a highly collaborative environment and to contribute to the team?s success
  • Reliability and very good interpersonal skills is what you possess
  • You have practical skills in Python, Big Data Platforms and Natural Language Processing

Kontaktinformationen

Referenznummer: 14659

Nathalie Mohr

Campus Recruitment Team

Tel. +41(0)22 393 33 47

campusrecruitment.zurich@credit-suisse.com

www.credit-suisse.com/careers

Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success.

Please apply via our Career Portal.

Credit Suisse
Die Credit Suisse Group ist ein weltweit führender Finanzdienstleister, der Kunden auf der ganzen Welt rund um die Uhr in allen Finanzaspekten berät.
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