Senior Tech Business Analyst — Fraud & AI | KYC/AML expert

Talendica; Tampa (FL); On-site; USD 110,000 - 160,000; Full time

Job summary

Talendica seeks an experienced Business Analyst with 9+ years in banking/fintech compliance to drive KYC/AML initiatives and risk assessments. The role focuses on data analysis, requirements gathering, and process documentation for enterprise fraud detection solutions.

The ideal candidate has strong communication, stakeholder management, and a proven track record delivering AI-based fraud projects under tight deadlines.

Qualifications

• 9+ years of relevant experience.
• Experience in data analysis with intermediate/advanced Microsoft Office Suite skills.
• Experience as a Business Analyst in banking, financial services, fintech, or compliance-related projects.
• Strong understanding of KYC, AML, CDD, EDD, sanctions screening, and customer risk assessment.
• Experience in requirement gathering, gap analysis, process mapping, and documentation.
• Knowledge of BRD, FRD, Business Process Model and Notation (BPMN) , and user stories.
• Proven interpersonal, data analysis, diplomatic, management and prioritization skills
• Consistently demonstrate clear and concise written and verbal communication
• Proven ability to manage multiple activities and build/develop working relationships
• Proven self-motivation to take initiative and master new tasks quickly
• Demonstrated expertise or strong knowledge in the Fraud domain, particularly in managing enterprise-level solutions for fraud detection and prevention.
• Proven experience in successfully leading and delivering AI-based projects.
• Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail

Job description

Talendica seeks an experienced Business Analyst with 9+ years in banking/fintech compliance to drive KYC/AML initiatives and risk assessments. The role focuses on data analysis, requirements gathering, and process documentation for enterprise fraud detection solutions.

The ideal candidate has strong communication, stakeholder management, and a proven track record delivering AI-based fraud projects under tight deadlines.