Senior Data Technologist at Financial Intelligence Centre

Financial Intelligence Centre; Pretoria; On-site; ZAR 60 000 - 100 000; Full time

Job summary

An established industry player is seeking a skilled data analyst to integrate and analyze complex financial data. This role involves engaging with business teams, guiding database programming, and ensuring data quality through rigorous testing and documentation. With a focus on delivering high-quality forensic evidence, you'll design models for anomaly detection and support investigative processes. If you have a strong background in data analysis, programming, and communication, this is an exciting opportunity to make a significant impact in a dynamic environment.

Qualifications

• 8+ years of experience in complex data analysis and modeling.
• Proficient in SAS and SQL Server with strong quantitative skills.
• Knowledge of financial flows and illicit economies is a plus.

Responsibilities

• Engage with teams to analyze requirements and develop data management tools.
• Lead quality assurance tests and resolve database issues.
• Design models for anomaly detection and prepare insightful reports.

Skills

Data Analysis

Database Programming

Statistical Modeling

Data Quality Assurance

Communication Skills

Problem Solving

Education

Degree in Economics

Degree in Statistics

Degree in Mathematics

Degree in Computer Science

Tools

SAS

SQL Server

Power BI

Job description

JOB PURPOSE

Responsible for scoping, sourcing/gathering, integrating, and analyzing complex financial, statistical, and visual/spatial data to provide high-quality forensic evidence supporting the Financial Intelligence Centre's mandate.

KEY PERFORMANCE AREAS

1. Data Engagement and Requirements Analysis

Engage with business teams to understand project requirements, supervise database programming, and provide project updates. Develop information sources and management tools, disseminate information, ensure data aggregation, supervise scripting and analytical procedures, perform quality assurance, resolve database issues, plan data integration activities, and contribute to process improvements. Review work, prepare specifications, test systems, and maintain documentation. Design models for anomaly detection, apply diagnostic analysis, mentor colleagues, and prepare reports and presentations.

1. Database Programming and Development

Guide and conduct database programming, plan data migration activities, and contribute to system design and optimization.

1. Data Quality Assurance and Problem Resolution

Lead quality assurance tests, resolve issues promptly, and suggest process improvements for performance and reliability.

1. Data Analysis and Reporting

Design anomaly detection models, analyze relationships, prepare reports with insights, and support investigative processes.

1. Data Management and Documentation

Maintain documentation, develop data check templates, and conduct data audits to ensure integrity and compliance.

1. Big Data Evaluation and Analytical Support

Evaluate large datasets, provide analytical support, and create understandable reports for stakeholders.

1. Stakeholder Engagement and Communication

Conduct briefings and presentations, ensure timely dissemination of information, and communicate findings effectively.

1. Planning and Execution

Plan team activities, ensure milestone achievement, adapt to evolving needs, and review team outputs.

EDUCATION, SKILLS AND EXPERIENCE

• Degree in economics, statistics, mathematics, computer science, or related fields.
• Quantitative skills with formal training and operational experience in data mining and modeling.
• Certifications in SAS or SQL Server are mandatory.
• Proficiency in Power BI and other BI tools is preferred.
• Minimum 8 years of experience in complex data analysis, modeling, and coding.
• Knowledge of financial flows, illicit economies, and criminal activities is advantageous.
• Strong communication, presentation, and programming skills.
• Prior knowledge of FIC systems and data structures is a plus.