Deputy/assistant Director, Data Scientist

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]**

MAS’ Data Analytics & Engineering Division (DAE) is a specialised team within the Data Technology and Architecture (DTA) Department within the Technology Group (TG) in MAS.

DAE’s primary purpose is to partner internal MAS functions to generate business value through the enablement of effective and efficient use of data driven insights for business value creation. This is achieved through effective strategies, strong in-house development capability, standardization of processes, tooling enablement, establishing a product development mindset, promoting knowledge sharing within MAS and complementary external collaborations.

As a DAE Data Science Team Lead, you will be working in a fast-paced environment that would require the ability to manage multiple priorities and needs of stakeholders, as well as the agility to respond to changes and developments. Specifically, you are expected to:

- **Be a strategic thinker**
- Provide inputs towards the DAE strategic workplan, especially in Data Science domain
- Participate in DTA and TG planning sessions, and contribute towards greater alignment across the wider group
- **Be a technically skilled leader grounded on best practices**
- Be accountable for and drive data science related initiatives with a team of expert data scientists
- Provide technical leadership to expert data scientists within DAE, and data scientists residing within MAS business departments
- Be directly responsible for the delivery of the complex data science products within MAS
- Establish data science best practices, and standards for documentation, validation, and reproducibility of data science work across the team and MAS
- Support the development of AI governance related policies, and assist AI product development teams in ensuring safe and responsible development of such products
- Stay up to date on emerging data science trends, methods, and technologies
- **Be an effective communicator and collaborative partner**
- Collaborate effectively with DAE’s Production Engineering (PE) and Product Management (PM) teams to deliver enterprise grade data science products
- Interface with assigned MAS business groups, and support them in identifying opportunities to deliver additional business value through data science products
- Work with MAS Academy to deliver both targeted analytics training and broad-based awareness programs to all MAS staff
- Promote the growth of the Data Analytics Community of Practitioners (DACoP) through organisation of workshops, training sessions, and forums to foster greater awareness of analytics within MAS
- Constantly seek out potential collaborations with technology partners, academia, related public agencies, and other organisations that can provide additional technology, people, and data competencies to augment existing data science capabilities
- **Be a team player and servant leader**
- Support any TG and DTA initiatives as required.
- Together with other Team Leads in DAE, support Division Head in key matters such as business planning, recruitment, budgeting, procurement, and risk assessments.
- Create a positive work culture and maximise team’s potential by ensuring individual’s needs and well-being are taken care of

**[What we are looking for]**
- Minimum bachelor’s degree, preferably Master or PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field.
- 10 years of relevant working experience, of which the most recent 3 years in a team lead position
- Excellent advanced data science skills, with at least 3 years of prior experience developing data science products within public service and/or financial services industry
- Ability to develop enterprise grade data science products, which typically involves frontend and backend programming on top of data science model development
- Contribute towards the developme