VP, Data Scientist - Data Analytics & Automation Revolution Team, Group Audit

  • Competitive
  • Singapur, Singapore
  • Festanstellung, Vollzeit
  • DBS Bank Limited
  • 18 Feb 18 2018-02-18

See job description for details


Business Function

Group Audit helps the Board and Executive Management meet the strategic and operational objectives of the DBS Group. We conduct independent checks to ensure that the Group’s risk and control processes are adequate and effective. All our team members are highly sought-after professionals who work as trusted advisors to our clients, in all matters related to a company’s internal controls.

Responsibilities



The Data Scientist supports the “Future of Audit” by leveraging data analytics to identify key areas of risk within the Bank, and to enable the paradigm of predictive auditing. The role will be responsible for the translation of business problems and requirements into mathematical formulations that can be resolved through the implementation of analytical techniques and mathematical modelling.

The key responsibilities of the role are as follows:

  • Partner with audit specialists across various banking functions to assess business needs and identify opportunities to apply data analytics.
  • Define analytical strategy to address identified opportunities, including analytical approaches, data and technology requirements.
  • Develop models and perform statistical analysis to identify key areas of risk and predict risk events, across a range of banking functions.
  • Present key findings to senior management and/or other stakeholders with actionable recommendations.
  • Co-develop learning initiatives for non-statistical audit specialists to work effectively with data scientists.
  • Work with other data scientists to drive projects and guide juniors as required.





Requirements
  • Post graduate degree holder in Computer Science, Machine Learning, Statistucs, Applied Mathematics, or equivalent.
  • 6 to 10 years of working experience, of which, at least 5 years in data mining and machine learning on large amount of data, building and implementing various statistical models.
  • Good mathematical and statistics background, including the ability to translate business problems and requirements into mathematical formulations.
  • Proficient in data manipulation and analysis.
  • Proficient in R, Python, or other statistical software required. Experience in Big Data technology stack is a plus.
  • Ability to present analysis in a manner accessible by non-statisticians through data visualisation techniques.
  • General banking knowledge.
  • Independent self starter with ability to multi-task.
  • Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers and subject matter experts.
  • Has a can-do attitude.


Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.