Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.
About this role
The Technology & Operations group is key to enabling the DBS vision of being the best bank in the world. The key mandate of Tech &Ops Risk Management (T&O RM) â€" Strategic Projects is to drive risk and control initiatives across T&O.
The Risk Project Manager supports the transformation of Risk Management by driving initiatives that leverage data analytics to identify and monitor key areas of risk within the Bank, and enhance our risk management capabilities using data and data analytics.
The role will be responsible for the project management and enhancement of risk analytics visualization / solutions for the T&O RM and key T&O stakeholders.
Drive initiatives to transform and support the Risk Analytics solutions (visualization / reporting / models) for targeted risk focus areas for the T&O RM Subject Matter Experts (SME)
Develop strategy to support the transformation of the risk metrics in T&O and target opportunities to derive new risk metrics, liaising with the relevant stakeholders and technology support as needed for the implementation and support
Partner T&O RM SMEs on risk-focussed analytics initiatives & requirements
Collaborate with risk Subject-Matter-Experts to assess business needs and identify opportunities to apply data analytics
Collaborate with data scientists on analytical strategy to address identified opportunities, including analytical approaches, data and technology requirements
Ensure execution of end-to-end process of data analytics (incl data mining, data collection / processing / cleansing / verification on integrity of data used for analysis, and statistical analysis)
Manage the development of advanced analytics models to correlate and predict events related to risks, across multiple factors and functions.
Present key findings with actionable recommendations for management / stakeholders
Provide coaching / learning for non-statistical risk Subject-Matter-experts to work effectively on the developed risk analytics solutions
Advanced degree holder in Computer Science, Engineering, Statistics, Applied Mathematics, or equivalent
10-15 years of working experience with general Banking knowledge
Minimum 8 years of relevant project experience in managing and implementing solutions of various scale and scope with minimum 4 years of data mining and machine learning on large amount of data, building and implementing various statistical models
Strong project management and stakeholder management skills
Good mathematical and statistics background, including the ability to translate business problems and requirements into mathematical formulations
Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts
Independent self-starter with ability to multitask and has a â€can-doâ€™ attitude
Proficient in data manipulation and analysis, and able to present analysis in a manner accessible by non-statisticians through data visualisation techniques
Proficiency in SQL/Query is preferred
Programming or management experience in SAS, R, or other statistical software is useful
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.