Manager Customer Risk Detection

You are a curious and enthusiastic individual with a true passion for data analytics

We are a value driven team who support financial crime technology projects

Together we can harness the power of Data Analytics & Insights to identify solutions for our customers and communities to help build a brighter future and really make a difference

See yourself in our team:

Financial Crime Analytics (FCA) is part of the Financial Crime Compliance team and is responsible for the maintenance of and enhancements to the Group's AML systems by way of data modelling and continual systems optimization.

We are responsible for analysing financial crime data, implementing detection strategies which mitigate risk and preventing financial crime.

Do work that matters:

Our team has a new strategy and has embarked on a journey from good to World Class. We aim to be World Class in capability, provide support, build and enhance sustainable and effective financial crime capability and operations within the Group, to ensure compliance and effective risk management.

Your role will ensure our customer risk models are kept up to date, and you will be responsible for identifying and implementing continuous improvement opportunities and ensure any impacts are communicated and managed effectively.

You will lead engagements with projects, provide requirements and assist with testing and change management activities.

On a day-to-day basis, you'll:

• Manage model development and lead analysis on continual improvements to the Group's customer risk models

• Lead analysis and recommend strategies to manage emerging trends

• Actively detect and manage emerging events, ensuring strategies are implemented which effectively manage associated risk

• Drive operational cost efficiencies through improvements to model accuracy and making sure the associate risk is still managed

• Build effective working relationships within Group Operations and Risk Management

• Ensure that clear and concise documentation is produced by the team

• Provide insights into trends and anomalies - including root cause analysis

• Use your resilience and ability to deal with setbacks to find new ways to solve problems

• Be able to work through conflicting priorities and undertake work for multiple stakeholders and teams

We're interested in hearing from people who have:

Please note that we are interested in hearing from people who might not meet all the following criteria. We are open to working with the right candidate to fill any skill gaps during your journey at CommBank.

• Proven experience in using SAS, SQL, R, Scala and Python, along with knowledge of best practice coding practices

• Experience with collaborating with data analysts and providing technical guidance and insights

• Experience in building analytical solutions or models to drive measurable business benefits

• Experience with AI and statistical / machine learning techniques

• Ability to adapt and accept business concepts quickly

• Experience managing work relationships and business stakeholders

• Knowledge and experience in financial crime or risk management in financial services

• Tertiary qualifications in a numerate or IT based discipline

If this sounds like you, apply now

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We're keen to support you with the next step in your career.

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