Financial Crime Data Scientist: AML & Risk Analytics

An Post; Dublin; On-site; EUR 39,000 - 48,000; Full time

Benefits offered by this job

An Post Company Medical Scheme

PRIP Bonus Scheme

Paid Maternity Leave

Paid Paternity Leave

An Post Employee Assistance Programme

Digital gym with daily scheduled WOrk0

Job summary

An Post in Ireland is seeking a Financial Crime Data Science Analyst to partner with Financial Crime Operations, Compliance, Risk, Technology and business stakeholders to deliver data-driven insights, automated solutions and advanced analytics that strengthen the organisation's financial crime prevention and detection framework.

The role combines expertise in Financial Crime Operations, AML, transaction monitoring and FCCM systems with modern data science techniques, managing analytics

Qualifications

• Honours degree or equivalent in a quantitative field.
• Specialisation in Data Science, AI, ML, Statistics, Financial Crime or Risk Analytics is desirable.
• Professional certifications in AML, Financial Crime, Analytics, Data Science or Risk Management are advantageous.

Responsibilities

• Perform detailed analysis of customer, transaction, screening, and financial crime data to identify trends, anomalies, emerging risks, and potential control gaps.
• Lead transaction monitoring scenario tuning and optimisation activities, including threshold calibration, effectiveness testing, sensitivity analysis, and refinement of detection logic.
• Conduct root cause analysis of financial crime control weaknesses, investigation outcomes, alert volumes, and operational performance indicators.
• Develop analytical insights that support Financial Crime Operations, Risk Management, and Compliance decision making.
• Monitor the effectiveness of financial crime controls and identify opportunities for enhancement through data-driven evidence.
• Support customer risk assessment, behavioural analysis, network analysis, segmentation, and suspicious activity detection initiatives.
• Assist in demonstrating end-to-end understanding and effectiveness of transaction monitoring controls during audits, reviews, and regulatory engagement activities.

Skills

Python

SQL

Data Analytics

CRISP-DM

Machine Learning

Education

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

Tools

Oracle FCCM

KYC systems

Case management software

Job description

An Post in Ireland is seeking a Financial Crime Data Science Analyst to partner with Financial Crime Operations, Compliance, Risk, Technology and business stakeholders to deliver data-driven insights, automated solutions and advanced analytics that strengthen the organisation's financial crime prevention and detection framework.

The role combines expertise in Financial Crime Operations, AML, transaction monitoring and FCCM systems with modern data science techniques, managing analytics