Junior Data Analyst/Scientist - Internal Audit

Credit Suisse
18 Oct 2019
24 Oct 2019
Job role
Contract type
Full time
We Offer
You an exciting opportunity to work with the Global Data Analytics team within Internal Audit (IA), to apply your technical skills against a wide range of problem statements across the bank. At Credit Suisse, we're proud that Internal Audit is seen as a "compelling voice inspiring confidence in the ability of the Bank to deliver its strategy". Our Auditors build and maintain direct and lasting relationships with the Bank's leadership. They are actively consulted for their independent advice and insights to encourage positive change. Our global Internal Audit function reflects the Bank's entrepreneurial spirit; we're investing in new technologies, data analytics, and the latest training techniques to ensure that both people and platforms are outstanding.

  • Benefit from working within a highly motivated, dynamic and diverse team, with expertise across variety of technical skillsets.
  • Improve your understanding of the Bank by working alongside auditors on a wide variety of different topics.

  • Become a trusted advisor and partner to audit teams, and see the impact of your on the bank's people, processes and clients.
  • Provide data analytics services to the global Internal Audit department.
  • Carry out walkthroughs with experts in their field to understand the bank's data and how it can be used to solve business problems.
  • Collaborate with data owners to gather, process and blend large volumes of data from multiple systems, and ensure the data is of sufficient quality.
  • Translate audit requirements into logical steps, develop the necessary solutions, and clearly communicate actionable results and recommendations.
  • Investigate risks using forensic analysis, data science and modelling techniques to identify issues and root causes, and predict future incidents.
  • Build and maintain automated processes and solutions that can be reused continuously by both Internal Audit and other partners.
  • Serve as an internal expert on data sources, analytics and data science techniques.

You Offer

  • Strong analytical and problem solving skills, with a practical approach and can–do attitude.
  • A desire and the self–motivation to learn new skills, toolsets and programming languages.
  • Strong database language skills (e.g. SQL) including ETL, data mining, interpreting results, and identifying trends.
  • Experience using statistical computer languages such as R and Python to classify data and build predictive models.
  • Experience in using data visualization products and technologies (e.g. Tableau).
  • Experience with ETL technologies such as MS SSIS or other relevant ETL automation tools is a plus!

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