Forensic Data Analytics, Manager / Associate Director

KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax and Advisory services. We operate in 138 countries and territories with more than 276,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.

Job Description

KPMG's Forensic practice consists of experienced professionals with a wealth of experience in investigations, AML/CTF, data analytics, FATCA/CRS, forensic technology and disputes.

We Help Clients Deal With

Fraud, misconduct and corruption investigations
Assess and improve client’s AML controls and financial crime compliance
Commercial disputes
Regulatory compliance
Managing risk on buying or selling a business, intellectual property and contract governance
Preventing and detecting fraud and financial crime

We also deploy technology tools to help clients deal effectively with large amounts of data and documentation, to manage and disclose important material or highlight fraud, weaknesses and business opportunities from within corporate data. The Forensic Data Analytics team combines data, technology, and analytics to deliver investigative and compliance solutions. We build and deploy analytical tools and dashboards across industries, integrating technical capability with business understanding.

As a Manager/Associate Director in the Forensic DA team, you will lead AML compliance and financial crime analytics across the financial services sector. This is a client-facing, delivery-led role with direct responsibility for project management, team development, design and implementation of data-driven solutions in financial crime compliance processes such as transaction monitoring and name screening.

The candidate will bring about his/her technical expertise in advanced analytics, knowledge in AML domain, and interpersonal skills to manage senior client stakeholders and lead project teams. You will have also the opportunity to ideate and test innovative approaches such as applying large language models and agentic AI to deliver value adding services for our clients.

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Your Scope Of Work Will Include

AML System Validation and Calibration

Conduct and lead independent validation and calibration exercises for AML transaction monitoring and name screening system including, data lineage testing, rule effectiveness testing, threshold calibration for financial institutions
Present validation findings and remediation recommendations to stakeholders such as compliance teams, and senior management

Data Analytics & Financial Crime Investigations

Apply data analytics techniques to identify anomalies, and surface patterns indicative of money laundering, fraud, or other financial crime typologies
Design and develop analytical models, including statistical, machine learning, and rules-based approaches to support AML detection and monitoring
Build and maintain data pipelines, perform data cleaning and transformation, and conduct exploratory analysis using tools such as Python, SQL, and Excel.
Develop dashboards and visualisations to communicate analytical findings and compliance metrics to both technical and non-technical stakeholders

AML Advisory & Regulatory Compliance

Demonstrate working knowledge of key AML concepts including transaction monitoring , customer due diligence , know-your-customer, name screening, suspicious transaction reporting, and AML typology analysis
Stay current with regulatory developments including MAS AML/CFT requirements, FATF guidance, and regional best practices and incorporate these into client deliverables and communication

Project Management & Delivery

Manage end-to-end delivery of client engagements, including project scoping, workplan development, team coordination, and reporting
Lead and develop the DA team, providing day-to-day direction, technical coaching, and performance feedback
Manage client relationships proactively such as anticipating needs, communicating progress, and escalating issues timely
Prepare and review client deliverables including reports, presentations, and working papers to maintain a high standard of quality and accuracy

Business Development

Contribute to KPMG's business development efforts in the financial crime space by identifying new opportunities within existing client relationships and the broader market
Support the preparation and delivery of proposals and pitch presentations for prospective clients

Qualifications And Experience

Around 7 years of relevant experience in AML compliance, financial crime analytics, forensic accounting, or a related field
Strong understanding of AML/CFT concepts, typologies, and regulatory frameworks, including transaction monitoring, name screening, CDD/KYC and AML system governance
Proficiency in data analytics tools including SQL, Python and Tableau/Power BI for data extraction, analysis, and reporting
Strong written and verbal communication skills, with the ability to present complex findings clearly to senior and non-technical stakeholders
Exposure to machine learning techniques applied to financial crime detection (e.g. supervised classification, anomaly detection, clustering)
Demonstrates interest with emerging technologies in the AML compliance domain, including large language models or other AI-assisted review tools.
Demonstrated ability to manage multiple workstreams and deliver high-quality outputs under time pressure

Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only.

At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers me