AML Policy & National Risk Lead

sggovterp

Singapore

On-site

SGD 60,000 - 90,000

Full time

4 days ago
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Job summary

sggovterp in Singapore is seeking policy analysts to support the AML department in strengthening the financial sector's defences against ML, TF and PF. You will research international best practices and help update risk assessment methodologies and strategies, coordinating with key stakeholders to collect and analyze relevant statistics.

The role requires 1-2 years of relevant experience, strong analytical and communication skills, and the ability to manage multiple priorities in a fast-paced

Qualifications

  • 1-2 years experience in policy, international, supervisory or statistics analytics.
  • Excellent analytical capabilities to dissect policy issues and propose options.
  • Strong written and verbal communication skills.
  • Strong data and statistics analytical skills.
  • Proactive team player who can drive outcomes.
  • Ability to work independently and manage multiple priorities.
  • Strong interpersonal skills to engage stakeholders.
  • 1-year contract and fast-paced environment.

Responsibilities

  • To conduct research of international best practices for national risk assessments in ML, TF and PF.
  • To assist in the review and enhancement of updated ML, TF and PF national risk assessment methodologies for Singapore.
  • To assist in the development of updated ML, TF and PF national risk assessments, coordinating with stakeholders on statistics and risk information.
  • To assist in the development of updated national AML, CFT and CPF strategies for Singapore.

Skills

Policy analytics
International experience
Supervisory experience
Statistics analysis

Job description

sggovterp in Singapore is seeking policy analysts to support the AML department in strengthening the financial sector's defences against ML, TF and PF. You will research international best practices and help update risk assessment methodologies and strategies, coordinating with key stakeholders to collect and analyze relevant statistics.

The role requires 1-2 years of relevant experience, strong analytical and communication skills, and the ability to manage multiple priorities in a fast-paced

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