Risk & AML Specialist

Central Jakarta, IndonesiaOn-SiteFull-time2–3 yrs experiencePosted 2mo ago

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Job description

Collect and process risk data from all work units and group entities
Conduct analysis of the Company’s Health Level (risk profile, GCG, capital, profitability).
Perform RCSA & KRI on a regular basis, calculate operational risk composite.
Carry out AML-CFT (Anti-Money Laundering – Counter Financing of Terrorism) tasks in the company and ensure the company is not misused for money laundering or terrorism financing by applying KYC/CDD principles when onboarding customers, monitoring suspicious transactions, and reporting to PPATK and OJK (such as STR and CTR).
Conduct risk assessment and internal control, train employees to understand AML/CFT risks, and ensure regulatory compliance through policies, procedures, and the use of filtering systems against terrorist/sanction lists. Also, perform customer identification risk measurement (AML) through IRA.
Identify potential risk issues and escalate them to the ERM Manager.
Prepare periodic reports for regulators in accordance with regulations.
Support the development and implementation of ERM, Operational Risk & Credit Risk, as well as monitoring cross-unit action plans.
Responsible for the technical implementation of AML-CFT, regular reporting, and AML-CFT risk assessment by coordinating with the Compliance team of each entity.

Minimum Bachelor’s degree in Economics, Engineering, Mathematics/Exact Sciences, or a related field.
2–3 years of experience in risk management or AML within the financial industry.
Strong understanding of TKS, RCSA, KRI, AML-CFT, IRA, and OJK regulations.
Strong data analysis skills, proficient in Microsoft Excel, and effective communication abilities.
Relevant certifications or training in risk management and AML are preferred.

Job details are sourced from the employer's original posting.

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About the company

Cermati.com

Identify new, emerging fraud and abuse trends/patterns through data analysis and metrics tracking to mitigate risks Collaborate with internal stakeholders (Risk, Data Science, Engineering, Product Management, Operations, and others) to ensure proper enforcement of fraud prevention rules and detection strategies Assess, define, and optimize relevant operational fraud metrics for long-term tracking Bachelor's degree in computer science, informatics, computer engineering, or a related field from a reputable university. Having 1+ years experience in antifraud/risk (Fresh Graduate are welcome to apply) Having knowledge in SQL / Bigquery, etc. Good communication and interpersonal skills Good analytical skills Highly motivated, self-driven and strong control attitude Proficient in English language

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Industry: Financial Technology
Open roles: 36