Advanced Analytics Manager

Reposted 16 Hours Ago
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Area, Viveiro, Lugo, Galicia, ESP
In-Office
Mid level
Fintech • Financial Services
The Role
Lead the development of fraud detection strategies, enhance detection systems, partner with stakeholders, and ensure technical leadership in fraud analytics.
Summary Generated by Built In
  • Flexible working, hybrid environment, and central offices

  • Inclusive team where diverse perspectives are valued

  • Access to world-class learning, technology tools and analytics teams ​​

See Yourself in the Team

Fraud Analytics within the Chief Operations Office Data AI Analytics - Fraud CoE are responsible for developing, maintaining and enhancing the fraud detection systems, algorithms and reporting engines across CommBank and Bankwest, strengthening detection capability through intelligent automation, emerging trend analysis, advanced modelling and stakeholder reporting.  

In practice, the team sit at the heart of day-to-day fraud and scams defence, maintaining and evolving the fraud rule detection suite, creating new detection logic at pace, and partnering closely with stakeholders as products, channels and customer behaviours change.

Our work is customer-critical. We balance strong fraud and scams protection with the need to minimise friction for genuine customers, using intelligent automation, emerging trend analysis, advanced modelling and stakeholder reporting to strengthen detection capability. The team are also evolving towards leveraging modern analytics platforms, and creating opportunities to influence how fraud analytics is delivered into the future.

Your Impact & Contribution

As an Advanced Analytics Manager in Fraud Analytics, you will lead the development and uplift of fraud detection strategies across assigned portfolios by owning complex analytics solutions, rule logic, and stakeholder outcomes.

You’ll play a key role in enhancing the fraud rule detection suite used to detect, prevent and disrupt fraudulent and scam activity, including decisioning outcomes such as holds, declines, alerts and customer push notifications.

This is an Individual Contributor role where you may expect to: 

  • Lead the delivery of highimpact enhancements to the fraud rule detection suite, including rule design, optimisation and quality controls.  

  • Translate fraud/scam trends and incidents into detection strategy changes delivered at pace. 

  • Partner with product/channel stakeholders to onboard new signals and data points required for detection (e.g., feature changes that introduce new fraud vectors).  

  • Own stakeholder reporting rhythms (weekly/monthly), ensuring insights are actionable and decisionready.  

  • Provide technical leadership across tooling evolution 

  • Champion continuous improvement: reduce false positives, manage alert volumes and minimise friction for genuine customers.  

Skills & Experience 

  • Strong analytical engineering capability: rule logic, statistical reasoning, and problemsolving in fastmoving environments.  

  • Strong coding capability in SQL and Python (SAS experience beneficial; ability to learn new languages valued).  

  • Proven stakeholder management and influencing skills - regular engagement required 

  • Experience working with or migrating to cloud data/analytics platforms (AWS/Snowflake exposure advantageous).  

  • Fraud/scams domain experience beneficial, but strong analytics experience can be sufficient with learning agility. 

Why Join Us

At CommBank, you’ll be part of a team that:

  • Puts customers at the centre of everything we do

  • Uses data, analytics and technology to solve meaningful problems

  • Values continuous improvement, collaboration, and strong risk culture

  • Supports flexible ways of working and career growth

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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Advertising End Date: 04/07/2026

Skills Required

  • Strong analytical engineering capability
  • Strong coding capability in SQL and Python
  • Proven stakeholder management and influencing skills
  • Experience with cloud data/analytics platforms (AWS/Snowflake)
  • Fraud/scams domain experience
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The Company
HQ: Sydney, New South Wales
52,000 Employees
Year Founded: 1911

What We Do

Australia’s leading provider of financial services including retail, premium, business and institutional banking, funds management, superannuation, insurance, investment and sharebroking products and services. We are a business with more than 800,000 shareholders and over 52,000 employees. We offer a full range of financial services to help all Australians build and manage their finances.

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