Financial Crime Data Scientist: AML Analytics & Automation

An Post; Dublin; Presencial; EUR 39 000 - 48 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

An Post Company Medical Scheme

PRIP Bonus Scheme

Paid Maternity Leave

Paid Paternity Leave

An Post Employee Assistance Programme

Digital gym with daily scheduled works

Resumo da oferta

An Post is seeking a Financial Crime Data Science Analyst to partner with Compliance, Risk and Operations in Dublin. The role blends AML operations, FCCM systems, and advanced analytics to strengthen financial crime detection and control effectiveness.

You will apply CRISP-DM, build data pipelines in Python/SQL, and develop predictive and prescriptive analytics. The role emphasizes governance, audits, and regulatory compliance while enabling automation and continuous improvement.

Qualificações

• Honours degree or equivalent in a quantitative field.
• Proven capability in analytics and data science within financial crime risk.

Responsabilidades

• Analyse customer, transaction and screening data to identify trends, risks and control gaps.
• Lead scenario tuning and optimisation for transaction monitoring and alerting.
• Develop analytical insights to support decisions across Compliance, Risk and Operations.
• Produce dashboards and reporting to communicate risk and operational performance.
• Support audits, reviews and regulatory engagements with analytical evidence.

Conhecimentos

Python

SQL

CRISP-DM

Data analysis

Machine learning

Data engineering

Formação académica

Honours degree in Data Science/Statistics/Mathematics/Computer Science/Finance/Risk Management/Economics

Specialisation in Data Science/AI/ML/Statistics/Financial Crime/Risk Analytics

Professional certifications in AML/Financial Crime/Analytics/Data Science/Risk Management

Ferramentas

Oracle FCCM

Compliance Studio

Descrição da oferta de emprego

An Post is seeking a Financial Crime Data Science Analyst to partner with Compliance, Risk and Operations in Dublin. The role blends AML operations, FCCM systems, and advanced analytics to strengthen financial crime detection and control effectiveness.

You will apply CRISP-DM, build data pipelines in Python/SQL, and develop predictive and prescriptive analytics. The role emphasizes governance, audits, and regulatory compliance while enabling automation and continuous improvement.