Westpac
Fraud Data Analyst
To become number one for customer service
Data and analytics
Full-time
Office | Sydney, NSW, Australia
Visa sponsorship · No
Mid Level · A role for someone with some well-developed knowledge and skills they can bring to the role and team. Typically within 2-5 years of experience.
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Why Westpac
Westpac is Australia’s oldest bank and company, one of four major banking organisations in Australia and one of the largest banks in New Zealand. We provide a broad range of banking and financial services in these markets, including consumer, business and institutional banking and wealth management services.
About the role
**Key responsibilities will include: **
- Analyse and interrogate data to enhance the detection of fraud and malpractice.
- Maintain and continuously improve existing detections and analytics frameworks.
- Develop strategies to identify and mitigate fraud through system innovation.
- Collaborate with internal stakeholders to design, test, and implement new detections.
- Share knowledge and insight with the team, to foster innovation and development.
What’s in it for me? You’ll play a significant part of the future of a business that has been around for 200 years. Our purpose is to create better futures together. So, we’ll back you in the development of your career, internal career prospects, and flexible working. You’ll also keep learning to grow your career, backed by a fantastic team of people with a can-do, supportive structure. Whatever shape your family takes, we offer generous paid and unpaid parental leave for your nominated primary and support carers. This includes leave to organise adoptions, surrogacy, and foster care arrangements. And we continue to pay your super contributions while you take all the time you need to get your new family settled.
What do I need?
- Tertiary qualified in a relevant discipline such as Mathematics, Statistics, and Actuarial Science etc
- Technical skills in some of SQL, SAS, R or similar languages are essential with proven experience in using these to interrogate and manipulate large data sets
- Proven stakeholder management skills with the ability to engage with and influence non-technical stakeholders
- High attention to detail and focus
- Experience in working in a Fraud or Risk Analytics environment within financial services would be highly advantageous
**What’s it like to work there? ** We are a collaborative team of passionate people with a shared ambition to make a difference for our customers, our communities and each other. At Westpac, making a difference means creating impact, unlocking our own and each other’s passions, and transformative success stories to create better futures together.
As well as competitive remuneration and a great culture, joining the Westpac family gives you access to a wide range of employee benefits to help you manage your priorities - whether that means family life, work/life balance, ambition to grow or all the little perks in between.
What you'll be responsible for
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Data Cleaning and Preparation
Extract and clean data ready to use in analysis or to users
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Data Analysis and Reporting
Analyze data to discover and communicate insights, and offer concrete recommendations for key stakeholders to make critical decisions
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Data Management and Visualization
Create and maintain the organization’s Business Intelligence tools, and present complex data in simple, visual ways for key stakeholders
Skills you'll need
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Learning agility
Identifies and applies strategies to enhance reception, retention and use of newly acquired information, skills, and abilities
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Numerical problem solving
Works with numerical information and performs mathematical calculations to solve problems
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Attention to detail
Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables
Meet the team
The Westpac DataX team supports our customers solve real world problems with next generation data products. Presales: Including but not limited to strategic insights and data visualisation Onboarding: Building client data pipelines, including data cleansing and data visualisation dashboards