Accessibility Links

Tech Risk Manager - Bank

  • Job type: Permanent
  • Location: Singapore
  • Salary: Competitive
  • Job reference: 264982/001_1541730824
  • Sector: Selby Jennings, Risk Management
  • Date posted: 09/11/2018

Our client is a leading Bank with strong presence across Asia Pacific; we are hiring a Technology Risk Manager to support the team here in Singapore.

This role is a new hire within the team as a result of expansion within the business, and we are looking for an strong candidate with 7 plus years experience who has a keen interest in IT risk and working knowledge with Singapore Regulations and Governance from a banking or financial institution.

Key Roles and Responsibilities:

  • Handle all IT risk management matters proving advice and technical support in relation to IT infrastructure and development
  • Working with regulators to implement IT Risk management and governance activities - providing guidance and direction to senior management teams
  • Deal with operational process reviewing and monitoring compliance, ops risk and security to manage threats and promote quality assurance through the development, communication, review of IT process & policy standard
  • Ensure internal audit and perform assessment of technology controls to assess and adhere to relevant regional frameworks - handling test preparation, test execution and providing recommendations on the status of the controls and issues under test
  • Supporting new business initiatives including system planning and projects, supporting budget control and keep abreast on the latest trends on the Information Technology & risk
  • Drive business strategy through IT advancement to ensure long term business performance


  • At least 7 years of experience in IT Risk or related field
  • Experience in a Bank and Financial institution
  • Good understanding and working knowledge of general Risk processes and policies as well as external regulatory and IT operational audit report review
  • Working knowledge in Risk & Control Self-Assessment, Information Security and Privacy assessments, and IT audit, testing and execution
  • Excellent stakeholder management, a keen eye for detail and a strategic mind-set with business acumen
  • Sound understanding of IT Risk management, industry trends and regulatory requirements

Selby Jennings is a Trading Style of Phaidon International (License number 16S8194)

Similar jobs
Senior Quantitative Risk Research Role
  • Job type: Permanent
  • Location: Philadelphia, Pennsylvania
  • Salary: US$100000 - US$150000 per year + Bonus
  • Description Responsibilities: Work independently to conduct projects and thorough analysis under supervision of senior analysts utilizing sophisticated quantitative skills such as data analysis, option pricing
Director - Data Science - Credit Risk
  • Job type: Permanent
  • Location: New York
  • Salary: US$190000 - US$230000 per year
  • Description Responsibilities: Develop and implement models using machine learning and deep learning techniques for the consumer lifecycle (acquisitions, underwriting, collections, fraud, etc
Senior Credit Analyst - Commodities / Trade Finance, Bank
  • Job type: Permanent
  • Location: Singapore
  • Salary: S$120000 - S$160000 per annum
  • Description Our client is a leading International Bank with strong presence across Asia Pacific. We are hiring a Senior Credit Analyst to be based in Singapore and this role will cover the Commodities
Director - Treasury Risk Oversight & Analytics
  • Job type: Permanent
  • Location: McLean, Virginia
  • Salary: Bonus
  • Description A leading top 50 Fortune 500 company based in Northern Virginia is hiring for a Director of Treasury Risk Oversight & Analytics. The company has been consistently voted as one of the best
VP - Machine LEarning Model Development
  • Job type: Permanent
  • Location: New York
  • Salary: Negotiable
  • Description Machine Learning is rapidly changing the landscape of the business and consumer lending spaces. This opportunity would allow you to develop a variety of machine learning models at one of the largest