Fraud & Financial Crime Technology Platform (FFCP)
Are you passionate about data, APIs, and fighting financial crime? Do you enjoy sitting at the intersection of business, technology, and compliance, translating complex data flows into meaningful outcomes?
We’re looking for a Technical Business Data Analyst to join our Fraud and Financial Crime Technology Platform (FFCP) team, where data is at the heart of protecting the bank and its clients.
The FFCP team enables the bank’s Fraud and Financial Crime detection and investigation capabilities, covering:
Client & Entity Screening against global watchlists
Transaction Monitoring for suspicious activity
Fraud detection and investigation workflows
We are currently on an exciting modernisation journey, replacing legacy platforms with a blend of in-house solutions and leading vendor technologies. Central to this transformation is high-quality, well-governed data — and that’s where you come in.
This is a hands-on, delivery-focused role spanning analysis, data modelling, documentation, and collaboration across the Entity Screening domain.
Analyse and document public-facing APIs, including endpoints, payloads, and data models
Map API payloads to internal client and entity data models
Identify data gaps, transformation rules, and dependencies, producing clear requirements for engineering teams
Define requirements to migrate from manual CSV-based inputs to automated data products
Document ownership, data lineage, refresh cycles, and quality controls
Support engineers with requirement clarification throughout delivery
Define expectations around data timeliness, availability, performance, reconciliation, and error handling
Document exception handling and data-quality operational processes
Analyse and document Fraud and Financial Crime operational workflows
Capture system configuration requirements such as alert rules, thresholds, workflows, and permissions
Contribute to improved user experience and operational efficiency
Work closely with engineers, product owners, compliance teams, and vendors
Support testing, validation, and acceptance, including test case definition and data validation
You’re a technically strong analyst who’s comfortable working with data, APIs, and stakeholders in a regulated environment.
Essential experience:
Business Analyst or Data Analyst experience on data-centric platforms, ideally within Financial Crime, AML, KYC, Transaction Monitoring, or Client Screening
Strong SQL skills and experience querying relational databases
Hands-on experience testing APIs using tools like Postman or Bruno
Solid understanding of data models, REST APIs, JSON, and data integration concepts
Experience translating complex technical flows into clear, actionable business requirements
Exposure to non-functional and control requirements (timeliness, reconciliation, lineage, auditability)
Excellent communication and stakeholder engagement skills
Nice to have:
Experience with screening platforms such as Dow Jones Risk & Compliance, Actimize, or similar
Knowledge of banking client/entity data models
Familiarity with Azure data concepts, including data products, pipelines, storage, API management, and DevOps practices
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