Data Analytics (Financial Crime Compliance) - Graduate Opportunity

Network For Electronic Transfers (S); Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading payments services group in Singapore is seeking an analytical Data Analytics professional to enhance its AML/CFT programs. This role involves developing frameworks for monitoring financial crime risks, analyzing large datasets, and ensuring compliance with regulatory standards. Ideal candidates hold a degree in a relevant field and have internship experience in financial crime or compliance. Strong problem-solving skills and the ability to work under pressure are essential.

Qualifications

• Internship experience in financial crime/AML/Compliance.
• Experience in financial institutions or regulatory environment preferred.
• Well-organized with tight deadline management.

Responsibilities

• Develop and optimize data analytics frameworks for AML/CFT.
• Analyze large datasets to identify transaction anomalies.
• Produce clear reports for compliance decisions.

Skills

Data analysis

Problem-solving

Stakeholder engagement

Education

Bachelor’s degree in Data Science, Statistics, Finance, or related discipline

Job description

Overview

The NETS Group is a leading payments services group, enabling digital payments for merchants, consumers and banks across the entire payments value chain. The Group operates Singapore’s national debit scheme enabling customers of DBS Bank/POSB, HSBC, Maybank, OCBC Bank, Standard Chartered Bank and UOB to make payments using their ATM cards or mobile devices at more than 130,000 acceptance points in the country as well as online payments.

We are seeking a detail-oriented and analytically strong Data Analytics professional to support the development, implementation and enhancement of enterprise-wide AML/ CFT and Sanctions programs. This role will work cross-functionally to provide data-driven insights that help detect, prevent, and mitigate financial crime risks.

Key responsibilities

• Develop, maintain, and optimize data analytics frameworks to monitor AML/CFT, Sanctions Surveillance programs;
• Analyse large datasets from internal systems to identify suspicious patterns, transaction anomalies, and emerging threats;
• Design and execute queries, dashboards, and reports to support ongoing surveillance and investigations;
• Assist in developing rule-based and risk-based scenarios for transaction monitoring and screening;
• Provide inputs and support to strengthen the AML/CFT and Sanctions transaction monitoring and procedures;
• Produce clear and actionable reports to support compliance decisions, regulatory reporting and audits;
• Ensure proper documentation and record keeping of reviews and investigation cases in accordance to Group standards;
• Maintain up-to-date knowledge of regulatory expectations and ensure compliance framework aligns accordingly.

Requirements

• Bachelor’s degree in Data Science, Statistics, Finance, Computer Science, Business Administration, or a related discipline;
• Internship experience in financial crime/AML/Compliance;
• Experience in financial institutions, law enforcement, intelligence/analysis, or regulatory environment is preferred;
• Strong analytical and problem-solving abilities with a strategic, data-driven mindset;
• Must be well-organized, have the ability to work under tight deadlines, make decisions, work well as part of a team and independently;
• Proven ability to engage, collaborate, influence and negotiate with key senior stakeholders;
• Excellent problem-solving skills, ability to prioritise and manage multiple tasks assigned.

Network for Electronic Transfers (Singapore) Pte Ltd.