Job Description
Who we’re looking for
We’re open to candidates from a range of technical and analytical backgrounds, as long as you have strong fundamentals, real hands-on Python capability, and the attitude to learn quickly in a finance environment.
Must-haves
- Hands-on Python skills for data manipulation, reporting automation, or analysis
- Strong Excel skills and confidence working with large or messy datasets
- Evidence that you’ve worked on real analytical problems through internships, projects, placements, or an early-career role
- High attention to detail and a careful approach to data quality and accuracy
- Strong learning agility, ownership, and willingness to grow in a junior role
- Ability to work in office in Melbourne
Nice-to-haves
- Exposure to Power BI
- Experience working with financial, lending, transaction, or operational datasets
- A background in data, maths, statistics, econometrics, engineering, computer science, BI, analytics, or a technical finance-related discipline
- Experience in improving or automating recurring reporting processes
- Exposure to fintech, lending, banking, payments, or a similar environment
What’s in it for you
- A great workplace culture (they’ve won awards for it) where the value you create is what counts.
- Organisation-wide personal development programs and coaching.
- A manager who supports your growth and aligns your skills with work.
- A fun, energetic and dynamic office environment
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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