Job description
- Analyze big data from core banking (FICO, Actimize, Oracle FCCM, NICE Actimize, or self-built), customer data, transactions, KYC/CDD, sanctions lists to detect patterns of compliance violations, fraud, transaction violations.
- Design, tune and optimize rule engine (scenario-based and statistical models) to reduce false positive rate, increase detection rate; apply basic machine learning techniques if applicable (anomaly detection, clustering).
- Build and maintain executive dashboards (Power BI, Tableau, Qlik) for compliance reporting: alert ratio, rule effectiveness, STR (Suspicious Transaction Report), sanctions hit rate, monthly/quarterly/annual State Bank reports.
- Conduct deep dive analysis of high-risk alerts, support internal investigations, prepare case files for regulatory authorities.
- Monitor and ensure data quality for compliance data (accuracy, completeness, timeliness); identify and resolve data issues (data lineage, reconciliation) according to Basel and FATF standards.
- Analyze compliance risk trends (trend analysis, predictive insights) to propose policy and process adjustments; support annual compliance risk assessment.
- Closely coordinate with IT, Data Governance, Business, and Legal to implement new compliance data solutions (eKYC analytics, transaction monitoring enhancement).
- Participate in internal/external audits, State Bank inspections; represent in major projects such as system upgrades, AI integration for compliance.
- Update regulatory changes (new State Bank circulars, FATF recommendations, EU/OFAC sanctions) and adjust analytical models accordingly.
Requirements
- Bachelor's degree or higher (Master's is an advantage) in: Data Science, Statistics, Economic Mathematics, Information Technology, Finance – Banking, or equivalent.
- Minimum 3 – 5 years of data analytics experience, preferably in compliance/AML/banking risk; Big4 audit (PwC, Deloitte, KPMG, EY – AML/Compliance analytics division).
- Proficient in tools: SQL (advanced query, optimization), Python/R (pandas, numpy, scikit-learn for tuning/modeling), Power BI/Tableau/Qlik (complex dashboards), advanced Excel (VBA, Power Query).
- Preferred: knowledge of Vietnam compliance regulations: Anti-Money Laundering Law 2022, Circular 35/2013 (amended), 09/2020/TT-NHNN, Decree 13/2023 (personal data), FATF 40 Recommendations, OFAC/EU Sanctions, Basel compliance.
- Preferred certifications: CAMS (Certified Anti-Money Laundering Specialist), CRISC, CDPSE (data privacy), Certified Analytics Professional (CAP), or AML analytics certification (ACAMS Advanced CAMS).
- Preferred skills: In-depth risk analysis, AML rule tuning, data storytelling (insights for leadership).
BENEFITS:
- Personal and family health insurance
- Travel
- Fitness Center (Yoga, GYM,...)
- Support for sports training, transportation, childcare/kindergarten, phone allowances
- Periodic health check-ups
- 13th month salary
- Birthday leave
- Holiday bonuses (Tet, National Day, 30/4 - 1/5, Bank Anniversary,...)
- Performance bonus, Performance incentive
- Preferential loans
MB Bank requires applicants to provide the following information:
- Personal information: Full name, Date of birth, Gender
- Phone number and email contact
- Education level, School graduated from
- Work experience
- 3 - 5 outstanding skills
Why should you ensure complete information when applying?
- Your profile will be evaluated quickly.
- For profiles with complete information and matching recruitment criteria, MB Bank will proactively contact you for interview at the earliest time.
- Applicants please check email and phone regularly to not miss interview appointments.
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