Business Systems Analyst (JD#10699)

SCIENTE INTERNATIONAL PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading financial services firm in Singapore is seeking a Strategic Planning professional with extensive AML project management experience. The role involves leading AML projects, collaborating with compliance and data science teams, and ensuring regulatory adherence. Candidates should possess a Bachelor's degree, 7-10 years in financial services, and strong analytical skills. This position emphasizes innovative approaches to enhance compliance systems and requires excellent communication abilities. Interested applicants should submit their resume to the provided email.

Qualifications

• Minimum 7-10 years of experience in financial services with a focus on AML.
• Strong analytical abilities with experience in large datasets.
• Excellent communication skills for stakeholder collaboration.

Responsibilities

• Lead AML and AFC projects from planning to closure.
• Manage change requests and mitigate project risks.
• Oversee AML system enhancements and training.

Skills

Data analysis

Project management

Stakeholder collaboration

Regulatory compliance

AML/CFT regulations knowledge

Problem-solving

Education

Bachelor’s degree in Data Science, Finance, Business Administration, or Computer Science

Advanced degrees or certifications in AML, compliance or data science

Tools

Robotic Process Automation (RPA)

Job description

Overview

Job Summary The Strategic Planning role functions as a strategic partner and trusted business enabler to senior management. The position is responsible for leading AML and AFC-related projects, overseeing AML systems and data analytics strategy, driving analytical initiatives, and strengthening regulatory compliance capabilities across the organisation.

Mandatory Skill-set

• Bachelor’s degree in Data Science, Finance, Business Administration, Computer Science or related field; advanced degrees or certifications in AML, compliance or data science preferred;
• Minimum 7–10 years of experience in financial services with hands-on exposure to AML systems and compliance, including at least 5 years in project management or PMO roles;
• Strong analytical, problem-solving and decision-making abilities with experience deriving insights from large datasets for project and compliance strategies;
• In-depth understanding of AML/CFT regulations, transaction monitoring systems and anti-financial crime compliance best practices;
• Strong communication and interpersonal skills with the ability to collaborate across compliance, data science, IT and external vendors and present findings to senior management;
• High level of integrity, meticulous attention to detail and the ability to work in dynamic and fast-paced environments.

Desired Skill-set

• Understanding of AI/ML applications in compliance;
• Knowledge of automation tools such as Robotic Process Automation (RPA) and familiarity with advanced analytics for AFC applications;
• Experience in model governance, AML system optimisation and data-driven compliance methodologies;
• Ability to translate technical and analytical insights into concise management-ready reports;
• Agile, inquisitive and self-driven mindset with strong adaptability.

Responsibilities

• Leading end-to-end AML and AFC projects from planning to closure, providing project plans, status updates, risk assessments and communication strategies;
• Managing change requests for AML systems while identifying and mitigating regulatory, operational and project risks;
• Collaborating with stakeholders across compliance, data science, IT and external vendors to align objectives and resolve cross-functional issues;
• Acting as SME for AML systems and DA models, providing insights on system implementation, model requirements and regulatory expectations;
• Overseeing AML system enhancements and ensuring effective integration with compliance and operational needs;
• Developing and maintaining visual dashboards and synthesising analytics into concise management reports for decision-making;
• Supporting high-priority AFC initiatives and contributing to advanced data model development for AFC analytics;
• Providing training on AML systems, data-driven AFC approaches, model governance and regulatory analytics;

Driving innovation by adopting emerging data science, machine learning and AI techniques to enhance AFC system capabilities.

Should you be interested in this career opportunity, please send in your updated resume to [e-mail] at the earliest.

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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

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