Role Business Analyst with Fin crime
Duration: Contract
Location: Northampto n(Hybrid)
Key Responsibilities:
Conduct business analysis to understand and document
financial crime risks, AML policies, KYC processes, and fraud prevention measures . Gather, analyze, and document business and system requirements for
financial crime detection, transaction monitoring, and case management solutions . Work closely with
compliance, risk, fraud, operations, and technology teams
to ensure regulatory requirements are met. Map
as-is and to-be business processes
related to financial crime risk management. Collaborate with data teams to define
data models, reporting, and analytics
for financial crime detection. Support the
design, testing, and implementation
of financial crime and AML solutions, including rule-based and AI-driven detection systems. Ensure alignment with
FCA, FATF, FinCEN, and other regulatory frameworks
governing financial crime compliance. Facilitate
workshops and stakeholder meetings
to gather insights and align business objectives with compliance mandates. Work with IT teams to support the integration of
AML/KYC systems, transaction monitoring tools, and case management solutions . Assist in the development of
policy documents, risk assessments, and control frameworks
for financial crime prevention. Key Skills & Experience Required: Proven experience
as a Business Analyst in a
Financial Crime, AML, or Compliance environment . Strong knowledge of
financial crime regulations , including
AML, KYC, CDD, and fraud prevention frameworks . Experience working with
financial crime technology solutions
such as Actimize, Quantexa, FICO, NICE, or similar platforms. Familiarity with
data analysis techniques , SQL, and financial crime reporting. Experience in
process mapping, gap analysis, and workflow optimization . Strong stakeholder management skills with the ability to communicate complex concepts to
business, compliance, and technical teams . Experience in Agile, Scrum, or Waterfall methodologies for project delivery. Knowledge of
regulatory reporting requirements
(e.g., SARs, STRs, and transaction monitoring).
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financial crime risks, AML policies, KYC processes, and fraud prevention measures . Gather, analyze, and document business and system requirements for
financial crime detection, transaction monitoring, and case management solutions . Work closely with
compliance, risk, fraud, operations, and technology teams
to ensure regulatory requirements are met. Map
as-is and to-be business processes
related to financial crime risk management. Collaborate with data teams to define
data models, reporting, and analytics
for financial crime detection. Support the
design, testing, and implementation
of financial crime and AML solutions, including rule-based and AI-driven detection systems. Ensure alignment with
FCA, FATF, FinCEN, and other regulatory frameworks
governing financial crime compliance. Facilitate
workshops and stakeholder meetings
to gather insights and align business objectives with compliance mandates. Work with IT teams to support the integration of
AML/KYC systems, transaction monitoring tools, and case management solutions . Assist in the development of
policy documents, risk assessments, and control frameworks
for financial crime prevention. Key Skills & Experience Required: Proven experience
as a Business Analyst in a
Financial Crime, AML, or Compliance environment . Strong knowledge of
financial crime regulations , including
AML, KYC, CDD, and fraud prevention frameworks . Experience working with
financial crime technology solutions
such as Actimize, Quantexa, FICO, NICE, or similar platforms. Familiarity with
data analysis techniques , SQL, and financial crime reporting. Experience in
process mapping, gap analysis, and workflow optimization . Strong stakeholder management skills with the ability to communicate complex concepts to
business, compliance, and technical teams . Experience in Agile, Scrum, or Waterfall methodologies for project delivery. Knowledge of
regulatory reporting requirements
(e.g., SARs, STRs, and transaction monitoring).
#J-18808-Ljbffr
