Junior Data Analyst/Scientist - Internal Audit #143083

Credit Suisse is a leading global wealth manager with strong investment banking capabilities. Headquartered in Zurich, Switzerland, we have a global reach with operations in about 50 countries and employ more than 45,000 people from over 150 different nations. Embodying entrepreneurial spirit, Credit Suisse delivers holistic financial solutions to our clients, including innovative products and specially tailored advice. Striving for quality and excellence in our work, we recognize and reward extraordinary performance among our employees, provide wide-ranging training and development opportunities, and benefit from a diverse range of perspectives to create value for our clients, shareholders and communities. We are Credit Suisse.

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.

Opportunities:

• 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.

Responsibilities:

• 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 guide 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.
• Outstanding 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!

Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success. Credit Suisse complies with applicable federal, state, and local laws prohibiting discrimination in employment in every jurisdiction in which it maintains facilities. Subject to applicable law and regulatory requirements, Credit Suisse complies with state and local laws regarding considering for employment qualified individuals with criminal histories.

For further information, and to apply, please visit our website via the “Apply” button below.