Purpose

• Support the SFC team by assisting in the collection, preparation, integration, and basic analysis of financial and statistical data.
• Contribute to forensic evidence development under supervision, helping to deliver high-quality data outputs that support law enforcement investigations and the FIC’s mandate.

Requirements

• Bachelor’s degree in economics, statistics, mathematics, computer science, business information systems/analysis, finance, actuarial Science, quantitative risk management, business & mathematics and informatics or a related field (a higher degree like a master degree will be advantageous).
• 1–2 years of experience in data analysis, data management, or a related field (internship or project experience acceptable).

Skills & Competencies

• Basic knowledge of SAS, SQL, Python, or other data analysis tools.
• Familiarity with financial or banking data is advantageous.
• Good communication skills, both written and verbal.
• Proficiency in MS Excel and basic data visualisation tools (PowerBI or similar) preferred.
• Willingness to learn and develop technical and analytical skills.

Responsibilities

Data Engagement and Requirements Support

• Assist in gathering and documenting business and data requirements from project teams.
• Help identify new data sources and maintain relationships with data providers under guidance.

Database Programming and Development Support

• Assist in writing and maintaining basic scripts and queries for data extraction and integration.
• Support data migration and integration activities as directed by senior staff.

Data Quality Assurance and Problem Resolution

• Conduct routine data quality checks and flag inconsistencies or errors for review.
• Assist in resolving basic data queries and reporting issues to the Data Technologist.

Data Analysis and Reporting

• Prepare simple data summaries and visualisations as instructed.
• Support the preparation of reports and documentation for investigations.

Data Management and Documentation

• Maintain accurate records of data processes and document steps taken in analyses.
• Assist in developing and updating templates for data checks and reporting.

Big Data Evaluation and Analytical Support

• Support the team in searching for and extracting information from large datasets.
• Conduct preliminary analyses and prepare user-friendly outputs for review.

Stakeholder Engagement and Communication

• Participate in team meetings and assist in preparing materials for presentations.
• Communicate progress and findings clearly to team members and stakeholders as required.

Planning and Execution

• Plan and prioritise own work to meet deadlines and deliverables as set by supervisors.
• Perform other data-related tasks as assigned by management.

Ref No

• 554