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Financial Crime Operations

3 weeks ago

Park Road, Singapore Commonwealth Bank Full time

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**Job Title**:Executive Manager - Financial Crime Operations

**Job Location**:Bangalore, Manyata Tech Park

**Business & Team**:Financial Crime Operations

**Impact & contribution**:As the Executive Manager - Financial Crime Operations (AI, Data & Analytics), you will be responsible for leading financial crime risk management, fraud detection, AML/CTF compliance, and sanctions screening for CBA’s Australian operations, while being based in India. This role will support CBA’s Financial Crime Operations team, ensuring the effective detection, investigation, and mitigation of financial crime risks through AI, big data analytics, and automation. You will collaborate closely with CBA Australia’s Financial Crime, Risk, Compliance, and Technology teams to enhance the bank’s financial crime response. This leadership role requires expertise in financial crime compliance (AUSTRAC, APRA, ASIC), fraud risk management, AI-driven detection strategies, and data analytics to optimize financial crime operations.

**Reporting lines**:Reporting to General Manager

**Roles & Responsibilities**:
**Financial Crime Strategy & Governance (Australia-Focused)**
- Support CBA Australia’s Financial Crime Risk & Compliance team in developing and executing financial crime risk strategies.
- Oversee AML/CTF transaction monitoring, fraud detection, and sanctions compliance for Australian customers and transactions.
- Ensure compliance with AUSTRAC, APRA (CPS 230, CPS 510), and ASIC regulatory frameworks.
- Implement AI-driven financial crime prevention models, ensuring ethical AI practices in fraud and AML monitoring

**AI, Data & Analytics in Financial Crime Prevention**
- Lead the development and deployment of AI/ML models for real-time fraud detection, anomaly detection, and transaction monitoring
- Utilize big data analytics, automation, and network analysis to enhance financial crime intelligence
- Implement graph analytics, predictive modelling, and behavioural analytics to identify complex financial crime patterns
- Work with CBA Australia’s Data & AI teams to optimize AI-powered risk detection capabilities
- Implement AI-driven KYC, Customer Due Diligence (CDD), and risk-based transaction monitoring solutions

**Operational Leadership & Risk Management**
- Lead CBA India’s Financial Crime Operations Team, ensuring seamless support for CBA Australia’s AML, fraud, and transaction monitoring functions
- Optimize fraud and AML detection processes using automation, AI-driven workflows, and data-driven decision-making
- Oversee complex financial crime investigations, ensuring effective escalation and mitigation
- Track and report on Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) for financial crime operations supporting Australia

**Stakeholder Engagement & Team Leadership**
- Act as the primary financial crime operations liaison between CBA India and CBA Australia’s Financial Crime teams.
- Building and maintaining strong relationship with stakeholders
- Establishing clear communication channels. actively identify and resolve stakeholder concerns
- Ability to build high performing teams by recruiting top talent, providing clear direction and fostering a culture of collaboration

**Essential Skills**:

- 18+ years of experience in financial crime risk management, AML/CTF, fraud prevention, or regulatory compliance in a global banking or financial services environment
- Strong knowledge of AUSTRAC regulations, AML/CTF Act, APRA’s prudential standards (CPS 230, CPS 510), and ASIC compliance requirements
- Expertise in AI, machine learning, and big data analytics for financial crime detection and fraud risk management
- Experience working with financial crime analytics platforms (e.g., NICE Actimize, SAS AML, Pegasus, Quantexa, Palantir, FICO Falcon, or similar)
- Experience managing large teams supporting global financial crime operations
- Professional certifications such as CAMS (Certified Anti-Money Laundering Specialist), CFE (Certified Fraud Examiner), CFA, or FRM
- Experience in cybercrime investigations, blockchain analytics, and cryptocurrency risk management
- Knowledge of real-time payments fraud detection and AI-driven digital identity verification.
- Proficiency in data analytics tools (Python, SQL, R, Power BI, Tableau) and AI/ML frameworks (TensorFlow, Scikit-learn)
- Regulatory Compliance Expertise - Strong understanding of AUSTRAC, APRA, and ASIC financial crime regulations applicable to Australia
- Leadership & Stakeholder Management - Experience