IT Auditor / Data Scientist

London, England, United Kingdom
23 Sep 2018
25 Sep 2018
Contract type
Full time
We Offer
At Credit Suisse, we're proud that Internal Audit is seen a key strategic partner to the business. Our risk-based methodology is reflected in truly dynamic audit plans that ensure that the function stays completely relevant and that we have the ability to flex to meet the evolving strategy of this key growth business. Our Auditors have the opportunity to build and maintain direct and lasting relationships with the Bank's leadership and are actively sought out for the meaningful advice and insights. Reflecting the Bank's entrepreneurial spirit, our Internal Audit function is also innovating; we're investing in new technologies, data analytics, and the latest training techniques, to ensure that both people and platforms are best in class.

You an exciting opportunity to work with the Data Analytics team within Internal Audit (IA), in a global and diverse environment. You will apply your technical skills by analysing large data sets and databases to answer audit questions and provide insight to the business.

In this role the candidate will:
  • Apply and build data analytics tests based on walkthroughs with the audit team, including assembling requirements as well as performing the necessary analytics.
  • Apply conceptual thinking through synthesis of facts, theories, trends, inferences, and key issues and/or themes in complex and variable situations, to solve a diverse range of interesting problems.
  • Diagnose problems from multiple angles, using formal problem-solving tools and techniques.
  • Seek out opportunities to improve, streamline, reinvent work processes through data driven solutions. In addition, explore and evaluate numerous potential solutions, maintaining balance between innovation and pragmatism when determining the best approach.
  • Build and maintain self-service data solutions (e.g. Tableau Dashboards) for business users.
  • Establish and maintain relationships within Internal Audit across all locations as well as other control functions within the bank to build analytics solutions.
  • Proactively engage Internal Audit teams to find opportunities to leverage technology and analytics in connection with risk assessment, continuous risk monitoring and audit execution processes.
  • Display your good communication, interpersonal skills and ability to understand requirements and engage with users with varying levels of technical knowledge.
  • The role is open to flexible/agile working arrangements.

Open to discussing flexible/agile working.

You Offer
  • Bachelor or Master's degree in Computer Science, Mathematics, Engineering, Finance or another quantitative field.
  • Relevant experience in consulting or the finance/banking industry.
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
  • Strong SQL and proven data analytics skills including: mining data, interpreting results, working with statistics, trends, etc.
  • Experience querying databases and using statistical computer languages such as R and Python; knowledge of Java, JavaScript, C/C++ will be an added bonus.
  • Experience in using data visualisation products and technologies (e.g. Tableau).
  • Experience with ETL technologies such as MS SSIS or any relevant ETL tools.
  • Strong problem solving skills with a positive personality and can-do attitude.
  • Very good interpersonal skills and ability to articulate complex concepts in a concise manner in both written and verbal presentations across all levels of management.
  • Understanding of the importance of handling risk and quality on data projects.
  • Knowledge of good data management practice and relevant regulations (e.g. BCBS239) is a plus.
  • A drive to learn and master new technologies and techniques.

Credit Suisse is committed to providing equal employment opportunities, regardless of ethnicity, nationality, gender, sexual orientation, gender identity, religion, age, civil partnership, marital or family status, pregnancy, disability or any other status that is protected as a matter of local law.

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