Vice President, Credit Risk Analytics, Risk Management Group
DBS Bank
Queen's Road Central, Hong Kong, China
2天前

BusinessFunction

Risk Management Group (RMG) is responsible forthe development and maintenance of risk management and internal control frameworks.

We provide independent review and challenge to business to ensure thatappropriate balance is considered in risk / return decisions.

In addition, RMG isresponsible for the monitoring and reporting on key risk issues of the Bank. Tomanage risk effectively and deliver strong financial performance, we investsignificantly in our people and infrastructure.

Responsibilities

  • Actively drive thedevelopment of data analytics roadmap for RMG, balancing the needs from stakeholders and the constraints in a practical sense
  • Act as project managerto drive analytic projects to deliver analytics solutions such as IBG earlywarning alerts project, etc.
  • Understand credit / businessusers’ needs and design relevant solutions together with analytics experts andIT
  • Explore the adoption ofadvanced analytic skillsets and technologies so as to enhance the overallanalytic sophistication in RMG.
  • Seeking external consultancy supportswhen necessary.

  • Participate / contributeto the design & establishment of centralized / structural data warehousesfor RMG so as to facilitate more efficient analytics initiatives.
  • Work closely with users,analytics expert and IT to ensure that projects are delivered according toexpectation
  • Ensure consistencybetween solutions and the overall data analytics road map
  • Research into differentdata sources to identify analytics opportunities and determine data usability
  • Conduct ad hoc dataanalysis, where appropriate, to dimension credit risks.
  • Requirement

  • Degree holder inBusiness, Computer Science, Statistics or related disciplines
  • Minimum 8 years ofrelevant experience in Corporate / Commercial / SME data analytic projects, withexperience in data mining
  • Sound knowledge incredit risk management on the Institutional Banking business and basiccorporate lending will be a big plus
  • Hands on programmingexperience in SAS, SQL, Qlikview or other statistical programs
  • Familiar with advancedanalytical tools / techniques (e.g. AI, Machine Learning) for large scaleanalysis of unstructured / non-
  • traditional big data, etc.

  • Strong business acumen,with solid analytical and critical thinking skills
  • Detail-orientedself-starter and a good team player
  • Excellent communicationskills
  • Excellent command ofwritten and spoken English and Chinese
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