Business Analyst - Fraud Solutions

SavageOne Pty Ltd; South Africa; On-site; ZAR 600,000 - 800,000; Full time

Job summary

A leading fraud solution provider in South Africa is seeking a Business Analyst to focus on fraud solution development and implementation. Candidates should possess over 8 years of experience and strong SQL skills. This role requires collaboration with cross-functional teams to deliver effective fraud detection systems. If you're a proactive self-starter with a passion for problem-solving, apply now to contribute to our innovative solutions.

Qualifications

• Minimum of 8 years' experience as an IT Business Analyst or in a similar role.
• Intermediate to advanced SQL skills are a strong advantage.
• Experience with Agile development methodologies is preferred.

Responsibilities

• Conduct holistic analysis of required fraud solutions.
• Manage the implementation of new fraud detection features.
• Collaborate with key business stakeholders to design fraud solutions.

Skills

SQL skills

Microsoft Excel proficiency

Analytical skills

Communication skills

Problem-solving skills

Agile methodologies

Education

BCom in Information Systems

BSc in Computer Science

Relevant tertiary qualification

Job description

About the job Business Analyst - Fraud Solutions

Onsite
Overview:
We are seeking a highly skilled and experienced Business Analyst to join our team, focusing on fraud solution development and implementation. The successful candidate will play a key role in analyzing, defining, and supporting the implementation of fraud detection systems and features, working closely with cross-functional teams including Forensics, CRM, Big Data, and Development.

Key Responsibilities:

• Conduct holistic analysis of required fraud solutions, including source systems and integration requirements.
• Manage the implementation of new fraud detection features and functionalities.
• Collaborate with the Forensic Analysis team, CRM system owners, Big Data Platform team, and other business stakeholders to design and implement fraud solutions.
• Conduct stakeholder interviews and workshops to gather and refine business requirements.
• Document and analyze business needs in a clear, structured, and concise format.
• Develop detailed use cases and user stories to define system functionality.
• Define integration requirements between systems and the fraud detection solution (including writing SQL statements as needed).
• Analyze data to ensure it meets internal data quality metrics.
• Identify and explain data patterns and trends to support decision-making.
• Communicate requirements effectively to the development team and validate developed solutions.
• Organize and contribute to user acceptance testing.
• Provide architectural and design input, maintaining up-to-date architecture documentation.
• Participate in Agile ceremonies including backlog prioritization, sprint planning, and retrospectives.
• Conduct post-implementation tests and resolve operational issues.
• Support the Security and Privacy by Design Assurance (SPDA) process.
• Assist in incident troubleshooting and draft change requests where necessary.
• Present quarterly priorities during PI grooming and collaborate with cross-functional teams to ensure delivery.
• Provide regular progress updates during team standups.

Required Skills & Competencies:

• Minimum of 8 years' experience as an IT Business Analyst or in a similar role.
• Intermediate to advanced SQL skills (strong advantage).
• Proficient in Microsoft Excel and data manipulation tools.
• Strong analytical and problem-solving skills with experience in data analysis and interpretation.
• Excellent communication, facilitation, and interpersonal skills.
• Strong attention to detail and commitment to quality.
• Ability to work independently and collaboratively in a fast-paced environment.
• Experience with Agile development methodologies is preferred.
• Self-starter with strong ownership mentality.

Qualifications:

• BCom in Information Systems
• BSc in Computer Science
• Or a relevant tertiary qualification in a related field