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This role involves serving as a Senior Technology Consultant, focusing on modernizing and transforming FinCrime solutions. You'll drive client discussions with deep FinCrime expertise, inspiring confidence in proposed solutions, and lead technology consulting teams to successfully deliver large-scale technology programs as a project manager.

Engage as a Technical Business Systems Analyst within FinCrime projects, facilitating communication with onsite coordinators and ensuring timely task completion with regular status reporting to leads and managers. Interface with client representatives as needed and be prepared to travel to customer locations.

Key responsibilities include understanding high-level business needs and aligning them with AML/FinCrime product capabilities, defining and validating customisation requirements, and analysing client processes to recommend optimal use of AML products. A strong understanding of best banking practices and AML product modules is essential.

A strong foundation in FinCrime and Fraud solutions is mandatory, including expertise in AI roadmaps encompassing GenAI, Agentic AI, ML, XAI, and Regulatory AI use cases. Proven experience with NICE Actimize SAM and WLM, along with familiarity with SAS AML, FircoSoft, Oracle FCCM, Quantexa, NetReveal, or Norkom, is highly valued.

Technical proficiency includes implementing AI governance, investigator copilots, and intelligent alert triaging. You should be expert in NICE Actimize AML solutions, with hands-on experience in scenario configuration, threshold tuning, alert generation, workflow configuration, and screening processes. Familiarity with fincrime data models, ETL, REST APIs, Java customizations, Cloud, CI/CD, Docker, Kubernetes, Oracle SQL, PL/SQL, and Agile methodologies is crucial.

Functional expertise demands thorough knowledge of AML/CTF transaction monitoring, KYC, and Sanctions processes, with a deep understanding of Suspicious Activity Monitoring (SAM), alert investigation, SAR/STR processes, and AML risk assessment. Strong knowledge of Watch List Management (WLM), sanctions screening, and scenario tuning for false positive reduction is expected.

An MBA, MCA, BE, or BTech degree is required, coupled with 5-8 years of banking industry experience. Specifically, 6+ years in AML/FinCrime/Fraud transformation and at least 2 years of AI/ML or Generative AI implementation experience in banking or compliance are essential.