Deputy/Assistant Director, Data Analytics and Engineering Division (Contract)

at  MAS Monetary Authority of Singapore

The Monetary Authority of Singapore (MAS) is Singapore’s central bank and integrated financial regulator.
As central bank, MAS promotes sustained, non-inflationary economic growth through the conduct of monetary policy and close macroeconomic surveillance and analysis. It manages Singapore’s exchange rate, official foreign reserves, and liquidity in the banking sector.
As an integrated financial supervisor, MAS fosters a sound financial services sector through its prudential oversight of all financial institutions in Singapore – banks, insurers, capital market intermediaries, financial advisors, and stock exchanges. It is also responsible for well-functioning financial markets, sound conduct, and investor education.
MAS also works with the financial industry to promote Singapore as a dynamic international financial centre. It facilitates the development of infrastructure, adoption of technology, and upgrading of skills in the financial industry.
Join us now, if you have a genuine interest in making an impact to help shape Singapore’s economic and financial landscape.

JOB DESCRIPTION

MAS’ Data Analytics & Engineering Division (DAE) contributes to MAS’ broader initiatives to position itself and Singapore’s finance sector for the digital economy through advanced analytics products and data engineering capabilities. We are hiring experienced data technology practitioners to help MAS further grow strategic data capabilities, and to innovate in partnership with public agencies, research, & private data science community.
As a member of the DAE production engineering team, you are expected to perform the following roles:
1) Technical Leader: Collaboratively plan and deliver analytics projects in cross-functional teams, assisting departments to engineer and improve their data capabilities via the development of reusable tools & code libraries, aligned to their business focus & priority.
2) Analytics Partner: Partnering MAS Academy to deliver targeted analytics training programmes for all MAS staff, helping departments to innovate in ways that raise efficacy as well as make regulatory compliance more efficient and effective.

JOB REQUIREMENTS:

• At least 5 years of experience in data analytics practice, preferably with degree in statistics, computing or data science.
• Prior experience in solutioning and implementing data analytics solutions in on-premise environment. Experience with commercial cloud deployments would an added advantage.
• Good understanding of Server Operating Systems, Application / Web Servers, Networks and Authentication Mechanisms with strong troubleshooting skills. Experience with infrastructure and application hardening and vulnerability remediation would be an added advantage.
• Hands-on experience in DB-to-Dashboard data processing, exploration, modelling of noisy data leveraging commercial and/or open-source programming languages & frameworks. Experience with DevOps / MLOps and/or database / data warehouse design and query optimization experience would be an added advantage.
• Responsible for engineering of data analytic solutions and properly scoping / engagements, establishing optimal operating models and project team organization, and leading the transition from the PoC to productization.
• Demonstrated ability to collaborate effectively with peers and end users across multi-disciplinary teams, with excellent stakeholder/interpersonal skill and an open, analytical mind.
• Prior experience in engaging senior management and partner stakeholders for regular monitoring and sharing of project progress, and providing engineering support to the project team to mitigate key project risks and issues.
• Strong communication skills, an ability to clearly articulate insights to meet the end users’ expectation.
  As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.
  This is a contact position till Dec 2025. All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

Please refer the Job description for details