Data Scientist, Economic Policy Group (Contract)

[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]

The Monetary Authority of Singapore (MAS) is establishing a new Econ-Tech capability within the Enterprise Knowledge Department to support the Economic Policy Group. This team aims to enhance our economic policy analysis through advanced data science techniques. As a Data Scientist, you will work closely with economists to develop and implement innovative analytical approaches that influence Singapore's monetary policy and financial stability frameworks.

Key Responsibilities

• Spearhead the application of data science methodologies to support monetary policy and financial stability analysis

• Partner with economists to transform policy questions into structured analytical solutions

• Undertake rigorous empirical research integrating economic principles with advanced analytical methods

• Author policy papers and research publications that communicate technical findings to diverse stakeholders

• Design and maintain analytical frameworks for monitoring monetary policy and financial stability indicators

• Provide technical expertise in the interpretation of economic data using modern statistical and machine learning approaches

[What we are looking for]

Preferred Qualifications & Experience

• Advanced degree in Data Science, Computer Science, Statistics, Economics, or related quantitative disciplines

• Minimum 3-5 years of relevant experience in applied data science

• Demonstrated track record in policy research and analysis

• Strong foundation in economic and financial data analysis

• Understanding of monetary policy and financial stability frameworks

• Experience in central banking or finance would be an advantage

• Research publications in economics or data science would be an advantage

Technical Competencies

• Strong proficiency in programming languages for data analysis (Python, R, or equivalent)

• Expertise in machine learning, statistical modelling, and econometrics

• Advanced capabilities in time series analysis and forecasting

• Proficiency in handling large datasets, data engineering and database management

• Knowledge of natural language processing and Generative AI

Core Competencies

• Strong analytical and problem-solving capabilities

• Excellent communication and stakeholder management skills, with ability to explain technical concepts to non-technical audiences

• Proven project management and delivery capabilities

• Ability to collaborate effectively in cross-functional teams

• Intellectual curiosity and commitment to continuous learning

• Strategic thinking and ability to align technical solutions with policy objectives

This is a 1-years contract position. All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.
 

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.