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Job purpose:
Need to work as a Senior Technology Consultant in FinCrime solutions modernisation and transformation projects
Should exhibit deep experience in FinCrime solutions during the client discussions and be able to convince the client about the solution
Lead and manage a team of technology consultants to be able to deliver large technology programs in the capacity of project manager
Work Experience Requirements
Understand high-level business requirements and relate them to appropriate AML / FinCrime product capabilities
Define and validate customisation needs for AML products as per client requirements.
Review client processes and workflows and make recommendations to the client to maximise benefits from the AML Product.
Show in-depth knowledge on best banking practices and AML product modules
Mandatory experience in Fincrime, Fraud. FinCrime AI roadmaps covering GenAI, Agentic AI, ML, XAI and Regulatory AI use cases. Experience NICE Actimize SAM (Suspicious Activity Monitoring) and WLM (Watch List Management)., SAS AML, FircoSoft, Oracle FCCM, Quantexa, NetReveal or Norkom is an added advantage
Your client responsibilities:
Need to work as a Technical Business Systems Analyst in one or more FinCrime projects.
Interface and communicate with the onsite coordinators
Completion of assigned tasks on time and regular status reporting to the lead
Regular status reporting to the Manager and onsite coordinators
Interface with the customer representatives as and when needed
Willing to travel to the customers locations on need basis
Mandatory skills:
Technical:
Implement AI governance, investigator copilots, intelligent alert triaging and case summarization solutions.
AI roadmaps covering GenAI, Agentic AI, ML, XAI and Regulatory AI use cases.
Intelligent Alert Prioritization, False Positive Reduction, Network Analytics, Fraud Prediction and SAR Narrative Generation.
Expert in NICE Actimize AML solutions including SAM (Suspicious Activity Monitoring), WLM (Watch List Management), Actimize Case Manager (ACM) and ActOne. Strong experience in scenario configuration, threshold tuning, alert generation, workflow configuration, sanctions screening, PEP screening, adverse media screening and alert optimization.
Experience with fincrime data model, data mapping, ETL processes, REST API integrations and Java customizations. Cloud, CI/CD (Bitbucket, Jenkins, Git, Nexus) and container technologies including Docker and Kubernetes.
Experience with Fincrime tool and cloud implementations. Proficient in Oracle SQL, PL/SQL, performance tuning and application support.
Experience in Agile Methodology
Application and Solution (workflow, interface) technical design
Business requirements, definition, analysis, and mapping
Understanding of Bigdata tech such as Spark, Hadoop, or Elasticsearch
Scripting/ Programming: At least one programming/scripting language amongst Python, Java or Linux/Unix Shell commands and Scripting.
knowledge of Kafka integrations and implementations is an added advantage.
Strong experience in end-to-end Fincrime or Fraud implementation programs including requirements gathering, solution design, configuration, SIT, UAT, deployment, upgrades, migrations and cloud transformation initiatives. Hands-on delivery experience in Fincrime or Fraud implementations.
Experience in Cloud and CI/CD (Devops Automation environment)
Should Posses high-level understanding of infrastructure designs, data model and application/business architecture.
Act as the Subject Matter Expert (SME) and possess an excellent functional/operational knowledge of the activities performed by the various teams
Functional: Thorough knowledge of the AML/CTF transactions monitoring, KYC, Sanctions process
Thorough knowledge on Transaction monitoring and scenarios
Strong knowledge of Suspicious Activity Monitoring (SAM), alert investigation, SAR/STR processes and AML risk assessment.
Strong knowledge of Watch List Management (WLM), sanctions screening, OFAC/UN/EU compliance, PEP and adverse media screening.
Experience in scenario tuning, threshold optimization, false positive reduction and OOTB vs custom gap assessments.
Should have developed one or more modules worked on KYC - know your customer, CDD- customer due diligence, EDD - enhanced due diligence, sanction screening, PEP - politically exposed person, adverse media screening, TM- transaction monitoring, CM- Case Management.
Thorough knowledge of case management workflows
Experience in requirements gathering, documentation and gap analysis in OOTB (out of the box) vs custom features
Agile (Scrum or Kanban) Methodology
Exposure in conducting or participating in product demonstration, training, and assessment studies.
Analytical thinking in finding out of the box solutions with an ability to provide customization approach and configuration mapping
Excellent client-facing skills
Should be able to review the test cases and guide the testing team on need basis
End to end product implementation and transformation experience is desirable
Education and experience – Mandatory
MBA/ MCA/ BE/ BTech or equivalent with banking industry experience of 5 to 8 years
6+ years in AML/FinCrime/Fraud transformation.
2+ years of AI/ML or Generative AI implementation experience in banking or compliance.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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