Find Lead data analytics & ai engineer Jobs in Kill, Ke

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PlayStation Global —Dublin, County Dublin
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Financial Crime Technical Business Analyst – AMLA Implementation

EXL Service -
Dublin, County Dublin

Apply Now

Job details

Full-time
11 days ago

Qualifications

Jira
Power BI
Data modelling
Azure
Marketing
Business analysis
Data analysis skills
SQL
Confluence
AI
Business
Banking
Analytics

Full job description

Job Description: EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.

We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com .

Role Title: Financial Crime Technical Business Analyst – AMLA Implementation

BU/Segment: Data Management / Banking & Financial Services

Location: Dublin, Republic of Ireland (Flexible hybrid working)

Employment Type: Contract

Summary of the role:

We are seeking an experienced Financial Crime Technical Business Analyst to lead the implementation of the Anti-Money Laundering Authority (AMLA) regulatory framework across the bank's Financial Crime and Compliance landscape.

The successful candidate will act as a bridge between Compliance, Financial Crime Operations, Risk, Data, and Technology teams to translate AMLA requirements into business processes, data models, controls, and technology solutions. The role requires strong expertise in AML/KYC, Customer Due Diligence (CDD), Enhanced Due Diligence (EDD), sanctions screening, transaction monitoring, regulatory reporting, and data governance.

The candidate will drive regulatory transformation initiatives, support target operating model design, and ensure successful implementation of AMLA-aligned controls, policies, processes, and technology platforms. Responsibilities align with AML/KYC program delivery, stakeholder engagement, data mapping, regulatory change implementation, and governance activities identified in recent AMLA programs.

As part of your duties, you will be responsible for:

Regulatory Analysis & AMLA Implementation

Interpret AMLA regulations and assess impacts on existing Financial Crime frameworks.
Conduct current-state assessments and gap analyses against AMLA requirements.
Define implementation roadmaps, priorities, and regulatory remediation plans.
Translate regulatory requirements into business, operational, data, and technology requirements.
Support policy, procedure, and control enhancements aligned with AMLA.

Business Analysis

Lead requirements-gathering workshops with Compliance, MLRO, Financial Crime Operations, Risk, and Technology stakeholders.
Prepare business requirements documents (BRDs), functional specifications, user stories, process flows, and operating procedures.
Document target-state operating models and business processes.
Identify control gaps and recommend operational improvements.

Financial Crime Domain Knowledge

Drive requirements related to:
Customer Due Diligence (CDD)
Enhanced Due Diligence (EDD)
Know Your Customer (KYC)
Customer Risk Assessment
Transaction Monitoring
Suspicious Activity Reporting (SAR)
Sanctions Screening
Adverse Media Monitoring
Beneficial Ownership
Politically Exposed Person (PEP) monitoring
Ensure alignment with AMLA, local regulatory obligations, and internal risk frameworks.

Data & Technology

Define source-to-target mappings and data lineage requirements.
Analyse customer, transaction, risk, sanctions, and case management data.
Support implementation of Financial Crime technology platforms.
Collaborate with Solution Architects, Data Engineers, and Product Owners to design AMLA-compliant solutions.
Define data quality controls and regulatory reporting requirements.
Support implementation on cloud and modern data platforms such as Azure, Databricks, Snowflake, and enterprise data lakes.

Testing & Delivery

Define test strategies and acceptance criteria.
Lead User Acceptance Testing (UAT) activities.
Support defect triage and remediation.
Coordinate release readiness and implementation activities.
Track regulatory commitments, milestones, and risks.

Governance & Stakeholder Management

Work closely with Compliance, Internal Audit, Risk, Legal, and Technology teams.
Present status updates and recommendations to senior stakeholders.
Support regulatory reviews, audits, and compliance assessments.
Maintain project governance artefacts and implementation reporting.

Qualifications and experience we consider to be essential for the role:

8-12+ years of Business Analysis experience within Banking or Financial Services.
5+ years of experience in Financial Crime, AML, KYC, Sanctions, or Regulatory Change programs.
Demonstrated experience delivering large-scale AML transformation or regulatory compliance initiatives.
Experience leading cross-functional workstreams involving Compliance, Operations, Data, and Technology teams.
Experience in data governance, data quality, and regulatory reporting programs.

Skills and Personal attributes we would like to have:

Financial Crime

AML / KYC, CDD / EDD, Transaction Monitoring, SAR/STR processes, Sanctions Screening, PEP & Adverse Media Monitoring, Customer Risk Assessment, Regulatory Compliance

Business Analysis

Requirements Engineering, Process Mapping, Gap Analysis, User Story Development, Stakeholder Management, UAT Management, Business Process Re-engineering

Technical

SQL, Data Mapping, Data Modelling, Data Lineage, Data Quality Frameworks, APIs and Integration Concepts, Azure Data Platform, Databricks (preferred), Power BI, JIRA / Confluence

Responsibilities: Develop and manage small digital analytics projects. Ensure adherence to digital analytics standards. Develop and deliver training sessions. Provide feedback to junior team members.
Qualifications: Graduate in Marketing, Business, Data Science, or a related field. 2-3 years of experience in digital analytics or data analysis.

Apply Now

Refine Your Search

lead data analytics & ai engineer jobs in kill, ke

Financial Crime Technical Business Analyst – AMLA Implementation

Applied Scientist, AI Ops Integration

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Sr Applied Scientist

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Senior Software Engineer, Cash Forecasting

Product Manager

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Risk Management Consulting - Infrastructure & Capital Projects

Senior Success Architect- Health and life Sciences Industry

Senior Data Engineer

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Account Executive, Growth

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