JOB PURPOSE

The Data Scientist supports the design and implementation of advanced data analytics solutions to enhance AMF’s research, policy analysis, and decision-making capabilities. The role focuses on applying machine learning, AI, and statistical modelling to unlock insights, strengthen data integration, and advance innovation within the organization.

ROLES AND RESPONSIBLITIES

Key Accountabilities

• Design and implement statistical models, machine learning algorithms, and AI tools to analyze large-scale structured and unstructured datasets.
• Conduct predictive and prescriptive analytics to support economic and financial policy initiatives.
• Continuously enhance models for performance, accuracy, and operational scalability
• Clean, transform, and manage diverse data sources using automated ETL pipelines.
• Collaborate with IT to optimize data infrastructure, ensuring reliable, secure, and efficient access to datasets.
• Ensure data quality and alignment with AMF’s data architecture standards.
• Partner with research teams to develop data-driven approaches addressing frontier topics (e.g., digital economy, AI, climate, financial innovation).
• Pilot and apply emerging techniques such as deep learning and NLP to enhance research methodologies.
• Track advancements in data science and introduce relevant tools and techniques at AMF.
• Build dashboards and visualizations that translate technical results into meaningful insights for policy makers.
• Develop data storytelling outputs to support AMF publications, policy dialogue, and training content.
• Ensure consistent and accessible presentation of data across platforms and reports.
• Adhere to global data protection regulations, internal data policies, and ethical AI practices.
• Support implementation of AMF’s data governance framework, including standards for data handling and quality.
• Participate in audits and compliance reviews related to data access and use.

JOB QUALIFICATIONS AND REQUIREMENTS

Knowledge and Experience:

• Minimum of 5 years of experience in data science, machine learning, or advanced analytics, preferably in the economic, financial, or public policy sectors.
• Demonstrated ability to deliver predictive models, statistical tools, and actionable insights for decision-making.

Education:

• Bachelor’s degree in data science, computer science, statistics, economics, or related discipline.

Certifications:

• Recognized certification (e.g., Google Data Analytics, IBM Data Science, SAS, CAP) is preferred.

Competencies