Advanced Analytics Senior Analyst

Posted Yesterday
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Area, Viveiro, Lugo, Galicia, ESP
In-Office
Senior level
Fintech • Financial Services
The Role
Lead design and delivery of GenAI and automation solutions for QA in fraud/scam operations. Build LLM pipelines, prompt engineering, ETL/SQL data pipelines, dashboards, and automated QA checks to ensure compliance, detection, and reporting across channels.
Summary Generated by Built In

(12month Secondment)

Team Overview

Provide effective quality assurance practices to support the fraud and scam response centre (CBA and Bankwest)

Role Overview

This role is pivotal in building out our Automation and AI capability across People Capability, specifically, Quality Assurance (QA). It will drive innovation and operational excellence by embedding Controls Testing & AI into workforce planning, QA automation, and reporting processes.

Your work will cover the Group Fraud Management Services' interactions with customers, via calls, messaging and case management ensuring our standards meet QA obligations

Key Responsibilities

  • Partner with Fraud/Scam Operations, Risk Compliance, People Capability, Technology, Analytics, and engineering teams to deliver impactful AI and automation use cases within QA.

  • Deepen your understanding of planning and QA domains, and apply GenAI to for detection, assessment, automation, and reporting.

  • Support complex automation projects that have a mixture of controls and LLM based evaluations

  • Ensure successful deployment through automated QA of agentic solutions across business units.

As a Senior Advanced Analytics Insights and Automation analyst for People Capability, you will cover:

. AI Systems & Automation

Design and implement agent tooling that orchestrate parallel and sequential workflows to analyse transcripts, classify fraud types, evaluate compliance, and detect policy breaches. Build pipelines with proper state management, error handling, and structured outputs. Develop guardrail checks, PII masking, and compliance evaluation systems. Develop automated QA for agentic builds across various GFMS Bus

. Prompt Engineering & LLM Operations

Design and optimize prompts for classification, evaluation, and information extraction tasks. Implement strategies to reduce hallucinations and ensure reliable, structured outputs from LLMs. Monitor LLM systems with observability tools to track performance and handle rate limiting and error recovery in production applications

. Dashboards & Reporting

Build and maintain dashboards that integrate data from enterprise data warehouses and deliver actionable insights to QA analysts and leadership teams. Develop reporting tools that visualize SLA metrics, compliance rates, agent performance, and workforce planning KPIs

. Data Engineering & SQL

Write and optimize SQL queries for large-scale data processing. Source and prepare high-quality datasets from diverse systems. Clean, normalize, and standardize data to ensure accuracy and readiness for AI modelling and process automation. Develop ETL pipelines and implement efficient caching strategies

. Problem Identification and Requirement Analysis

Collaborate with stakeholders to identify business needs in workforce planning and QA compliance requirements. Analyse the feasibility of AI-driven automated solutions. You'll be responsible for collating requirements, defining project scope, meeting objectives, and translating business needs into technical specifications

Position Specific Responsibilities / Qualifications

To thrive in this role, you'll need:

  • Strong analytical thinking and a proactive, independent, customer-focused mindset.

  • 3+ years in a data analytics role, with hands-on experience in controls testing.

  • Experience developing GenAI solutions (professionally or as personal projects) is highly valued. Understanding of prompt engineering, structured outputs, and strategies to improve LLM reliability in production environments.

  • Strong Python programming skills with experience building data pipelines, or automation applications. Proficiency with SQL, data manipulation, and interactive dashboards

  • A strong grasp of how AI can enhance workflows, decision-making, and problem-solving—especially in workforce planning and QA contexts

  • Excellent communication skills to bridge technical and non-technical audiences

  • The ability to thrive in a fast-paced, evolving environment

Working With Us

Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you. Our people bring diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace. We’re driven by our values and supported to share ideas, initiatives, and energy. Making a positive impact for customers, communities, and each other is part of our every day. Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities. We really love working here, and we think you will too.

Simply apply now - this could be your next career move!

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.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 25/06/2026

Skills Required

  • 3+ years in a data analytics role with hands-on experience in controls testing.
  • Strong Python programming skills with experience building data pipelines or automation applications.
  • Proficiency with SQL, data manipulation, and interactive dashboards.
  • Strong analytical thinking and a proactive, customer-focused mindset.
  • Excellent communication skills to bridge technical and non-technical audiences.
  • Ability to thrive in a fast-paced, evolving environment.
  • Experience developing Generative AI solutions (professional or personal projects).
  • Understanding of prompt engineering, structured outputs, and strategies to improve LLM reliability in production.
  • Experience with ETL pipelines, data sourcing, cleaning, normalization, and large-scale SQL query optimization.
  • Familiarity with observability tools, error handling, state management, PII masking, and compliance evaluation systems.
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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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