Purpose:

MA Financial Group is looking to onboard an experienced Senior DataOps Engineer, supporting the Data Enablement chapter within our Australia Business Transformation, your mission is to build robust data platforms supporting dynamic solutions across all modalities of data. If you are naturally a technologist, we’d like to meet you.

About MA Financial Group: MA Financial Group is an ASX listed diversified Financial Services Group specialising in Corporate Advice, Asset Management and Lending. The firm is 12 years young, is committed to growth and retains an entrepreneurial culture. It currently has c. 400 employees. The firm has a high-quality outfit with a flexible, adaptable, can-do culture.

MA Financial Group currently operates three distinct direct IT environments, with an aspiration to find synergies and operating improvements through consolidation. MA Financial Group has entered a hyper-growth phase and in the next 5 years, technology spend will be significant and accordingly, the space will continue to evolve. As we grow, our technological capabilities require elevation.

What you will do:

Analytics & Commercial Impact

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  Deliver actionable insights across lending, credit risk, portfolio performance, pricing, customer acquisition and retention.

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  Develop and maintain dashboards, reporting frameworks and performance metrics aligned to business strategy.

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  Partner with stakeholders across credit, risk, finance, operations and distribution to embed analytics into decision-making.

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  Support forecasting, scenario modelling and portfolio analytics.

Cloud Data Platform & Engineering Alignment

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  Leverage MA Financial’s modern cloud data platform (Azure/AWS-based architecture) to build scalable, reliable analytics solutions.

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  Work closely with Data Engineering and DataOps teams to ensure high-quality, well-modeled and production-ready data assets.

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  Design and optimise data models aligned to analytics use cases and lending performance metrics.

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  Contribute to continuous improvement of data pipelines, automation and cloud-native analytics workflows.

Banking & Lending Expertise

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  Apply strong knowledge of retail, commercial or non-bank lending operations.

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  Support credit risk analytics, arrears analysis, provisioning insights and regulatory reporting requirements.

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  Ensure alignment with APRA, ASIC and other regulatory standards where applicable.

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  Embed analytics into credit decisioning and operational processes.

Governance, Quality & Controls

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  Promote strong data governance and data quality practices.

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  Ensure compliance, confidentiality and integrity of sensitive financial data.

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  Support audit and risk requirements across the lending portfolio.

Stakeholder Leadership

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  Communicate complex analytical findings clearly to both technical and non-technical audiences.

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  Influence senior stakeholders through structured insight and evidence-based recommendations.

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  Foster collaboration across business and technology teams to deliver measurable outcomes.

AN IDEAL PERSON

Style:

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  Commercially pragmatic and outcome-focused

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  Adaptable in a fast-growth, evolving environment

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  Comfortable operating between technical and business domains

They are good at:

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  Managing competing priorities in a dynamic lending environment

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  Translating complex data into clear business language

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  Asking the right questions before jumping to solutions

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  Operating independently while collaborating effectively

They are awesome at:

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  Building trusted relationships with stakeholders

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  Remaining calm and solutions-oriented under pressure

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  Driving initiatives through to completion

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  Communicating insights with clarity and impact

Qualifications and Experience:

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  7+ years’ experience in analytics within banking, lending or financial services

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  Strong experience working within modern cloud data platforms (AWS, Snowflake, dbt, airflow, etc..)

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  Advanced SQL skills and experience working with large-scale data environments

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  Strong proficiency in Python for advanced analytics

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  Experience building scalable reporting and dashboarding solutions (e.g., Power BI, Tableau or equivalent)

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  Solid understanding of credit risk, lending operations and financial performance metrics

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  Experience working in regulated financial environments

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  Experience supporting non-bank lending, mortgage lending or consumer finance

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  Familiarity with CI/CD, DevOps and analytics productionisation practices

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  Experience integrating analytics outputs into operational decision engines or workflows