Assistant Director/Associate, Financial Advisers Supervision

[What the role is]
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.

[What you will be working on]

You will be part of a team in the Financial Advisers Supervision Department (FAS) managing data. The role involves collaborating with internal partners to ensure the smooth onboarding and ingestion of FAS data onto MAS’ enterprise data lake. This includes working closely with other departments to facilitate the integration of FAS data from different sources into a centralized platform.

As part of this role, you would also create a comprehensive catalogue of FAS’ business data inventory for better data management and utilization.

Beyond these core responsibilities, there may be opportunities to contribute to FAS’ data analytics projects. For example, you may work on refining existing data dashboards and developing new ones to support FAS officers’ day-to-day supervision.

There will also be opportunities to be involved in the supervision of financial advisers and insurance brokers.

[What we are looking for]

• Strong data project management skills.

• Good communication and collaboration skills, with a proactive approach to problem-solving and the ability to work effectively with diverse teams.

• Proficiency in data visualisation (i.e. developing data dashboards) and data wrangling (i.e. cleaning, transformation and structuring data) using Tableau, Python and Microsoft Excel is preferred.

• Experience in machine learning using Python is also preferred.

• Fresh graduates are welcome to apply.

This is a 1-year contract position. As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.