1 day ago

Product manager - property insights and custom solutions

REA Group

Sydney

1 day ago

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REA Group is seeking a Product Manager to join the PropTrack Mortgage Solutions tribe, working with ANZ analytics and credit risk teams to deepen the value of a leading property data product. The role involves turning customer insights into scalable data products for lenders and brokers, with a focus on improving mortgage application processing and credit risk monitoring. The position is permanent, hybrid, and based in Melbourne or Sydney.

AI-enabledHybridFull-timeMid LevelProduct ManagementCustomer Discovery

Product manager - property insights and custom solutions

Apply

AI-enabledHybridFull-timeMid LevelProduct Management

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid

Experience Required

5 years

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

Product ManagementCustomer DiscoveryProduct StrategyGenerative ResearchExperimentationData AnalysisLendingCredit RiskFinancial ServicesB2B SaaSData ProductsAI ToolingAI Product PrototypingClient CommunicationCommercial Judgement

Soft Skills

CommunicationCollaborationLow-egoCuriosityPrioritisationTrust-buildingSimplification

Preferred Qualifications

Technical (Nice-to-have)

BanksCredit UnionsNon-bank LendersFintechsBrokersFinancial Services Analytics

Key Responsibilities

•Work directly with ANZ analytics and credit risk teams to deepen the value of a leading property data product.
•Turn customer insights into scalable data products for lenders and brokers across Australia.
•Build an informed view of how Tier 1-3 banks, credit unions, non-bank lenders, fintechs and broker groups use mortgage data, insights and workflows.
•Understand how customer needs are evolving across mortgage applications, collateral assessment, credit risk monitoring and audit processes.
•Partner with Data, CX/UX and Commercial to run discovery interviews, generative research and experiments across priority customer segments.
•Own a roadmap across acquisition, conversion and retention, covering data, features, journeys, APIs and the core systems that support key customers.
•Use product usage, funnel performance and customer feedback to identify opportunities, prioritising them through customer value, commercial impact, data and strategic alignment.
•Work with Engineering, Design and Data in an agile squad to turn customer problems into clear product direction and measurable outcomes.
•Run experiments, including AI-assisted prototypes and A/B tests, to improve measures such as time to yes, valuation wastage, product uptake and customer outcomes.
•Identify ANZ use cases that can become MVPs and scalable products for banks, credit unions, fintechs, non-bank lenders and broker groups.
•Contribute to customer meetings, pitches, strategic account reviews, pricing, packaging and go-to-market opportunities.

Product ManagerProperty DataMortgage SolutionsCredit RiskFinancial ServicesB2B SaaSData ProductsHybridFull-timeAustralia

Core Qualifications

Technical (Must-have)

Soft Skills

CommunicationCollaborationLow-egoCuriosityPrioritisationTrust-buildingSimplification

Key Responsibilities

•Work directly with ANZ analytics and credit risk teams to deepen the value of a leading property data product.

•Turn customer insights into scalable data products for lenders and brokers across Australia.

•Build an informed view of how Tier 1-3 banks, credit unions, non-bank lenders, fintechs and broker groups use mortgage data, insights and workflows.

•Understand how customer needs are evolving across mortgage applications, collateral assessment, credit risk monitoring and audit processes.

•Partner with Data, CX/UX and Commercial to run discovery interviews, generative research and experiments across priority customer segments.

•Own a roadmap across acquisition, conversion and retention, covering data, features, journeys, APIs and the core systems that support key customers.

•Use product usage, funnel performance and customer feedback to identify opportunities, prioritising them through customer value, commercial impact, data and strategic alignment.

•Work with Engineering, Design and Data in an agile squad to turn customer problems into clear product direction and measurable outcomes.

•Run experiments, including AI-assisted prototypes and A/B tests, to improve measures such as time to yes, valuation wastage, product uptake and customer outcomes.

•Identify ANZ use cases that can become MVPs and scalable products for banks, credit unions, fintechs, non-bank lenders and broker groups.

•Contribute to customer meetings, pitches, strategic account reviews, pricing, packaging and go-to-market opportunities.