Senior Risk & AI Business Analyst

Feedzai · Portugal · Data

Posted 2026-10-21

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You:

As a Risk & AI Business Analyst, you will be the bridge between our clients’ business needs and our technical implementation teams. You will work closely with financial institution stakeholders, project managers, data engineers, and operations personnel to ensure successful deployment, configuration, and ongoing optimization of Feedzai’s fraud detection solution. Your insights will drive continuous improvement in alert efficiency, investigative processes, and overall fraud risk posture. This includes but is not limited to identifying business needs, proposing business solutions, writing user stories, functional testing, and business user training.

You will work alongside Risk Consultants, Data Scientists, and other Business Analysts side-by-side with some of the world’s largest financial institutions and merchants to help them fight fraud and unlock the full value of Feedzai’s platform.

Beyond your individual project responsibilities, you will contribute to the evolution of our ways of working, share expertise across the organization, and mentor other Business Analysts. You will act as a trusted advisor to both clients and internal teams, helping shape solutions and drive meaningful business outcomes.

Your Day-toDay

Requirements Gathering and Analysis

Lead the analysis of complex, ambiguous, and high-impact business and risk challenges;

Conduct workshops and interviews with client stakeholders to document business requirements, fraud scenarios, and investigative workflows.

Translate regulatory and compliance requirements (e.g., BSA/AML, PSD2 SCA) into system specifications.

Challenge assumptions and requirements where appropriate, bringing industry expertise and alternative approaches to the discussion.

Solution Design & Configuration

Own the business analysis workstream for complex implementations, operating independently from requirements definition through solution validation and deployment;

Work hand-in-hand with the Solutions Architect to define a cohesive solution that solves the core client challenges aligned with product capabilities;

Own data mapping & event flow definition. Drive data definition, mapping and validation.

Implementation, Testing & Adoption

Develop detailed functional specifications for system configuration;

Coordinate user acceptance testing (UAT), develop test scripts, and validate that the solution meets business needs;

Support customer training and adoption;

Provide guidance on complex change requests, enhancements, and production issues, ensuring appropriate prioritization and resolution.

Client & Stakeholder Leadership

Act as a trusted advisor to senior client stakeholders, building credibility through deep subject-matter expertise;

Lead complex stakeholder discussions, facilitating decision-making, and managing alignment across business and technical audiences;

Build alignment between business and technical teams, ensuring customer needs are effectively translated into delivery priorities;

Influence decisions based on customer needs, product capabilities, and business impact.

Continuous Improvement & Organizational Impact

Work collaboratively with Product to support improvements, requirements and documentation updates;

Work collaboratively with other internal teams to make the customer's journey feel seamless;

Lead post-implementation reviews to capture lessons learned and share best practices across account teams;

Create and share best practices across Business Analysis;

Mentor and support other Business Analysts;

Stay up to date with fraud trends, financial services, AI, and relevant regulations.

You Have & You Know-how:

MSc or similar in Computer Science, Information Systems, Risk Management, or related fields;

10+ years of relevant experience in business analysis, fraud/risk, financial services, fintech, or technology consulting;

Experience leading complex business analysis and solution design initiatives;

Strong ability to translate complex business problems into clear requirements and solutions;

Proficiency with data querying tools (e.g., SQL) and analysis in Excel or BI tools (e.g., Power BI, Tableau);

Experience working with technical teams and understanding data flows, integrations, and APIs;

Strong understanding of fraud detection methodologies, risk analysis, alert management platforms, and investigative workflows;

Outstanding verbal and written communication, with experience facilitating workshops and delivering client presentations;

Ability to mentor colleagues, share knowledge, and raise the quality of practices across a team or organization;

Comfortable challenging the status quo and identifying opportunities to improve products, processes, and ways of working;

Ability to travel 25% of the time.

The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. Join Us!

#LI-Remote #LI-BX1

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