Internal Audit - Data Analytics

  • Competitive
  • London, England, United Kingdom
  • Permanent, Full time
  • Goldman Sachs International
  • 20 Sep 16

The Data Analytics team provides analytics strategy and support for audit teams (Securities, IBD, Investment Management, Corporate, and Technology) with the objective of optimizing the audit approach and testing to focus on the areas or risks that need the most attention.

The Goldman Sachs Group, Inc. is a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and high-net-worth individuals. The firm is headquartered in New York and maintains offices around the world. 

BUSINESS UNIT AND ROLE OVERVIEW 

Internal Audit independently assesses the firm’s internal control structure. We provide assurance that financial reporting is reliable, that there is compliance with applicable laws and regulations and that the firm’s operations are effectively controlled. We assist management in commercially managing risk by providing advice in developing control solutions and monitoring the implementation of management’s control measures. Internal Audit assists the firm’s Board of Directors’ Audit Committee in fulfilling its oversight responsibilities and regularly interacts with the external independent auditors. 

The Data Analytics team provides analytics strategy and support for audit teams (Securities, IBD, Investment Management, Corporate, and Technology) with the objective of optimizing the audit approach and testing to focus on the areas or risks that need the most attention.   

RESPONSIBILITIES 

You will be expected to: 

- Assist auditors by analyzing firm data hands-on and providing insights from it. 
- Helping the audit team understand the tools, approaches and infrastructure available to them 
- Extract data from the firm’s data stores, profile to identify key features, patterns and outliers, and perform scenario based testing. 
- Assess the quality of data extracted to understand potential limitations or issues 
- Develop visualization analytics and reporting to present scenarios from the data; both at a high level to highlight potential risks and at the detailed level to enable root cause analyses 
- Work with the audit teams to build strategic self-service data products that enable auditors to more efficiently and effectively work with firm data and identify potential risk 

SKILLS / EXPERIENCE 

Required Skills: 

- Minimum 2 years of experience with preference for experience in Financial Services 
- Hands-on experience with SQL programming, preferably in Sybase and MS SQL 
- Experience with analytical/statistical programming such as SAS, SPSS, Python and R 
- Excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner 
- Drive and Motivation. Ability to handle multiple tasks, takes initiative to improve his/her own performance 

Desired Skills and Competencies: 

- Understanding of the basics of Finance is preferred 
- Knowledge of basic statistics (Time Series Analysis, Correlation, Regression) and its application to data 
- Experience with any visualization tool (Spotfire, Qlikview or Tableau) will be an added advantage 
- Creativity/Innovation. Ability to create new ways to improve current processes and develop solutions that are grounded in reality and have practical value 
- A financial industry certification (CFA, FRM, PRM etc.) would be useful but not required

 

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet. © The Goldman Sachs Group, Inc., 2016. All rights reserved.