Senior Anti-Financial Crime Technology Associate

About the role

PwC's Forensic Services practice, within its Banking and Capital Markets FIRE line of service, is looking for a Senior Associate to join its Financial Crime, AML, data and technology team. The role helps financial institutions strengthen their financial crime frameworks by combining regulatory knowledge, data analytics and technology expertise, focusing on AML and sanctions controls. It sits in the Advisory line of service.

Key responsibilities

• Lead workstreams on the assessment, implementation and optimisation of AML Transaction Monitoring solutions, including scenario design, customer segmentation, threshold tuning and effectiveness testing.
• Evaluate and enhance sanctions screening frameworks to improve detection while keeping operations efficient.
• Analyse end-to-end data flows, data lineage and data quality across AML and compliance systems to find control gaps.
• Design dashboards, visualisations and metrics that support decisions and show transparency over financial crime risk and performance.
• Turn regulatory requirements into practical recommendations on AML/CTF, sanctions, fraud and compliance operating models, policies and controls.
• Run workshops and stakeholder discussions, gather requirements and help clients move from analysis to implementation.
• Coach junior team members, review their work and contribute to high-quality outcomes across client engagements.

Required profile

• Bachelor's or Master's degree in Data Analytics, Statistics, Computer Science, Cybersecurity, Information Systems, Engineering, Mathematics, Finance or a related discipline.
• 2-3 years of experience in financial crime, AML technology, compliance technology, consulting or the financial services industry.
• Working knowledge of AML/CTF and sanctions frameworks, with experience of Transaction Monitoring, Sanctions Screening, Customer Risk Rating or KYC platforms.
• English at C1-C2 level; French or German at C1-C2 is an advantage.

Required skills

• Proficient or independent use of Python and SQL.
• Proficient or independent use of Power BI, Tableau and MS Excel.
• Preferred: experience with platforms such as NICE Actimize, Oracle FCCM, Fenergo, Firco, SafeWatch or Eastnets.
• Preferred: certifications such as CAMS, CGSS, ICA, CFE or relevant technology certifications.
• Preferred: familiarity with digital forensics tools such as Nuix or Relativity.