Business Analyst
About The Position
Matrix IFS is seeking a Business Analyst that focuses on understanding client needs in the financial crime and fraud prevention space. Key responsibilities include documenting business and regulatory requirements, creating system specifications, delivering client training and documentation, and coordinating user acceptance testing. They act as a liaison between clients and internal teams, and require strong analytical, communication, and data querying skills (SQL, Excel, BI tools).
Key responsibilities
- Client and Requirements Analysis: Conduct workshops and interviews to understand client needs, define business requirements, and translate regulatory requirements into technical specifications.
- Solution Configuration: Help define and configure solutions that align with product capabilities and client needs.
- Documentation and Training: Prepare user guides, process documentation, and training sessions for client operations and technical teams.
- Project and Change Management: Act as a liaison for change requests, escalations, and production support, and lead post-implementation reviews.
- Testing: Coordinate user acceptance testing (UAT) to ensure the solution meets business objectives.
- Internal Collaboration: Work with Product, Sales, and other internal teams to ensure a seamless customer journey and to incorporate feedback for continuous improvement.
Qualifications
- Education: Master's degree or equivalent in Finance, Information Systems, Risk Management, or a related field is often preferred.
- Experience: 5+ years of experience in fraud risk, business analysis, or operations within financial services or fintech is often required.
- Technical Skills: Proficiency with data querying tools like SQL, and analysis in tools like Excel, Power BI, or Tableau is essential.
- Communication: Strong verbal and written communication skills, with experience in client presentations and workshops.
- Other Skills: Excellent problem-solving skills, customer-facing experience, and a strong understanding of fraud detection methodologies and risk analysis
