Powered by pgvector · cosine kNN
No similar jobs yet — embeddings have not been generated for this listing. Run npm run seed:embeddings with AI Gateway access (AI_GATEWAY_API_KEY) configured.
Neuronimbus
Financial Crime Data Analyst – Banking Data & Compliance We are seeking an experienced Financial Crime Data Analyst to join a large-scale banking data initiative. The ideal candidate will have strong SQL and data anal…
Your match
See how you fit
Scored against this job in seconds
Your account
Sign in to apply
Your profile and your match for this job appear right here.
sign in above to apply · via LinkedIn
About the role
Financial Crime Data Analyst – Banking Data & Compliance
We are seeking an experienced Financial Crime Data Analyst to join a large-scale banking data initiative. The ideal candidate will have strong SQL and data analysis skills, along with hands-on experience in Financial Services, AML, and Financial Crime data domains.
Key Responsibilities:Work on large-scale data integration and data analysis initiatives within a banking environment.Perform data analysis, profiling, validation, and investigation using SQL and database querying techniques.Support data modelling activities and contribute to the design and understanding of conceptual data models.Analyse Financial Crime data related to Transaction Monitoring (TM), Transaction Threshold Reporting (TTR), International Funds Transfer Instructions (IFTI), customer screening, and payment screening.Work with customer risk assessment and regulatory reporting data requirements.Collaborate with business, technology, and compliance teams to understand data requirements and deliver insights.Ensure data accuracy, quality, and integrity across enterprise data platforms.
Required Skills & Experience:3+ years of experience in data integration, data analysis, or related data roles.Strong intermediate-level SQL skills with experience in database querying and data profiling.Experience with conceptual data modelling and understanding of enterprise data structures.2+ years of experience in Financial Services, Banking, AML, or Financial Crime domains.Hands-on experience with one or more of the following:Transaction Threshold Reporting (TTR)Transaction Monitoring (TM)International Funds Transfer Instructions (IFTI)Customer and Payment ScreeningCustomer Risk AssessmentTax Reporting
Preferred Experience:Experience working within the Westpac data ecosystem or similar banking environments.Familiarity with platforms such as EDW, ADAPT, GCM, and related enterprise data assets.Experience working with regulatory, compliance, or risk data initiatives.What We Are Looking For:A detail-oriented data professional who can bridge the gap between financial crime business requirements and technical data solutions, ensuring high-quality data insights and compliance outcomes.
sign in above to apply · via LinkedIn
Your job hunt, handled
Ask about any role and get a straight answer on your fit. Then stop searching: new matches land in your WhatsApp the moment they’re listed.
Free for jobseekers