Financial Crime Operations - Workforce Enablement Manager presso Commonwealth Bank of Australia

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Financial Crime Operations - Workforce Enablement Manager

Location: Bangalore

Business & Team: Finance Crime Operations

Impact & contribution: We are seeking a dynamic and analytical Manager to join our team at a leading bank. The ideal candidate will be responsible for driving data analysis, workforce management, and real-time data insights to optimize operational efficiency and decision-making. A background in financial crime or an understanding of regulatory environments would be a significant advantage.

Roles & Responsibilities:

Forecasting & Capacity Planning

• Develop detailed resource models to show headcount utilization and need for major FCO functions
• Workforce Planner will be Responsible to deliver the forecasting for the number of interactions, processing time, shrinkage, attrition and/or other required metrics and input for the capacity management process by use of standard forecasting tools and analysis.
• Also responsible for the capacity, staffing and resource management of one or more teams and is providing guidelines and directions towards the WFM Scheduler creation

Stakeholder Engagement:

• Work closely with Customer Operations team, HR and Finance partners to ensure Workforce Planning meets the business needs
• Should be able to develop and maintain internal control, setting benchmarks and giving feedback on data performance and recommended actions.
• Develop and produce performance information with which to inform, engage and influence various levels of operational management.
• Act as a point of contact for senior management regarding data insights and workforce strategies

Data Analysis & Insights:

• Provide robust measures of efficiency/productivity for each major business delivery team function
• Analyse and interpret large datasets to provide actionable insights that drive business outcomes.
• Develop dashboards, reports, and data visualizations to support management decision-making.
• Identify trends, patterns, and anomalies in real-time data to enhance operational effectiveness.

Workforce Management, Headcount Reporting & Analytics

• Oversee workforce planning, scheduling, and resource allocation to ensure optimal performance and coverage.
• Monitor team productivity and performance metrics, identifying areas for improvement.
• Collaborate with process leads to forecast staffing needs and align resources with business goals
• Provide recruitment pipeline requirement

Real-Time Data Analysis:

• Manage real-time monitoring systems to ensure seamless operations across teams.
• Implement and enhance tools to track real-time performance indicators and provide immediate feedback.

Financial Crime Understanding (Desirable):

• Leverage knowledge of financial crime trends, anti-money laundering (AML), and regulatory compliance to support relevant initiatives.
• Collaborate with compliance teams to ensure workforce strategies align with regulatory requirements.

Essential Skills:

• 10 years of experience in data analysis, workforce management, or a similar role, ideally within the financial services sector.
• Proficiency in data analytics tools such as SQL, Tableau, Power BI, Knime, or similar platforms.
• Strong understanding of workforce management principles and tools.
• Exceptional problem-solving and decision-making skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Knowledge of financial crime, AML, or regulatory compliance is a plus.

Educational Qualifications:

• Bachelor’s degree in business, Finance, Data Analytics, or a related field.
• A master’s degree (e.g., MBA) or other advanced degrees can be advantageous.