Senior Financial Crime Analytics Lead

PERSOL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

PERSOL SINGAPORE PTE. LTD. is seeking an experienced Senior Financial Crime Analytics professional to drive strategic screening optimization and cross-functional delivery.

The role emphasizes advanced data analytics, risk scoring, and collaboration with Compliance, Technology, and Business Units to strengthen financial crime prevention. Ideal candidates will have 8–10 years in financial services, strong Python/SQL and Tableau skills, and hands-on experience with cloud and big data platforms.

Qualifications

• Bachelor’s degree or equivalent practical experience in a quantitative or technical field.
• 8–10 years of progressive experience in financial services, consulting, or similar industries, with expertise in financial crime prevention and data analytics.
• Proven proficiency in Python and SQL and cloud platforms.
• Experience with big data technologies and data warehousing solutions is highly desirable.
• Advanced proficiency in data visualization tools, especially Tableau.
• Familiarity with specialized financial crime detection platforms.

Responsibilities

• Lead optimization of detection logic and algorithms for onboarding, monitoring, and real-time transaction screening across DBS operating countries.
• Collaborate with Compliance, Technology, Legal, Risk, and Operations to drive strategic projects improving efficiency and customer journeys.
• Develop analytical solutions for risk scoring and detection, and translate findings for senior management.

Skills

Python

SQL

Tableau

Big data

Data analysis

Education

Bachelor’s degree or equivalent in quantitative/technical field

Tools

Cloud platforms

AML screening platforms

Data warehousing

Job description

PERSOL SINGAPORE PTE. LTD. is seeking an experienced Senior Financial Crime Analytics professional to drive strategic screening optimization and cross-functional delivery.

The role emphasizes advanced data analytics, risk scoring, and collaboration with Compliance, Technology, and Business Units to strengthen financial crime prevention. Ideal candidates will have 8–10 years in financial services, strong Python/SQL and Tableau skills, and hands-on experience with cloud and big data platforms.