In-Demand Entry level data analyst Jobs in Melbourne Vic

Quantitative Analyst - Systematic Hedge Fund
AE Capital —Melbourne VIC
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
Quick Apply
9d
Financial Viability Analyst
Equifax —Melbourne VIC
- Full-time
- Hybrid work
- Business
- Accounting
- Employee assistance program
5d
Assistant Vice President, Markets Support Analyst (Global Markets Operations Risk & Control 2IC), Australia, Global Markets Operations
Bank of America —Melbourne VIC
- Full-time
14d
Principal Data Analyst
Cummins Inc. —Melbourne VIC
- Finance
- AI
Head of GTM Operations
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- Salesforce
- SQL
- AI
- Work from home
- Parental leave

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Full-Time Data Analyst (e-Commerce)
Phonecycle —Ringwood VIC
PhoneCycle is seeking a full-time Data Analyst (eCommerce) to support its multi-channel retail and operational data environment.
$80,000 - $85,000 a year
Quick Apply
14d
Junior Business Analyst (Data Analytics)
Premier Financial Advocates —Wheelers Hill VIC
Bachelor's degree or higher qualification in *Data Science, Business Analytics, Information Systems, Statistics, Finance or a related discipline*.
$80,000 - $95,000 a year
Quick Apply

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entry level data analyst jobs near melbourne vic

Quantitative Analyst - Systematic Hedge Fund

AE Capital
Melbourne VIC

Quick Apply

Job Details

Permanent | Full-time
9 days ago

Qualifications

MATLAB
Doctoral degree
Master's degree

Full Job Description

Quantitative Analyst — Systematic Hedge Fund

Join a systematic hedge fund that trades FX and Futures markets through a combination of top-down fundamental research, machine learning and rigorous quantitative modelling.

As a Quantitative Analyst, you'll use your expertise in computer modelling to work as part of a team building a deep, shared understanding of financial markets, contributing to the design and development of the predictive models that our quantitative developers and software engineers bring to life. Every model we run is understood and owned by the team that builds it — we don't deploy black boxes, and as a researcher here, you're the reason why.

About the Role

We're a Bayesian firm — we value intuitive priors and empirical inference to identify and prove a theory or relationship. We're not afraid to explore new ideas, and as applied academics at heart, we encourage theoretical and practical pursuits across data science, machine learning, stochastic processes, optimisation, signal processing and control systems, to name a few. Financial markets are the most humbling of all predictive systems, and the optimal place to test and hone your skills.

We're a small, agile team, and you'll have the opportunity to work across all areas of the business, collaborating closely with colleagues to design and build solutions with measurable, positive outcomes.

You'll:

Design and develop predictive models, working closely with quantitative developers to bring them into production.
Apply rigorous, empirical methods — Bayesian inference, statistical testing, and sound theoretical foundations — to real trading problems.
Explore new techniques across data science, machine learning, stochastic processes, optimisation and signal processing.
Work with large, complex datasets, and contribute to how we collect, structure and interpret them.
Collaborate directly with developers and other researchers to turn ideas into deployed, working models, and to build a deep, shared understanding of the markets we trade.

About You

You're articulate, intelligent, naturally inquisitive, and thrive in environments that encourage new ideas and value thought leadership.

You'll have:

A Masters or PhD in Physics, Atmospheric Science, Mathematics, Computer Science, Engineering or an equivalent discipline.
A strong academic foundation with a passion for truth and the scientific method.
A high level of initiative and self-motivation.
Excellent coding skills and deep experience with large datasets (MATLAB, Python, C, Fortran or similar).
A willingness to further develop and specialise your skills, including in financial markets, if you're new to the industry.

Nice to have:

Comfort in a Unix environment, with knowledge of cluster computing.
Exposure to financial markets and software development — advantageous, but not essential for the right person.

We're happy to consider both entry-level and experienced applicants. Full working rights in Australia required. Sponsorship is not available.

Why Join Us?

We're a small, high-achieving team where individual contribution matters, and where the people building the models are trusted to understand them fully — not just deploy them.

You'll also get:

A competitive salary, together with an uncapped performance-based bonus.
A fast, 3-stage interview process: a technical screen, a research problem to work through, and interviews with the team.

If you're accountable, professional, and want to work with some of the brightest people in the business on genuinely hard problems, we'd love to hear from you.

The AE Capital team does not require recruitment agency support — we have this covered.

Company Overview

Please visit our company website for more information

Quick Apply

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entry level data analyst jobs in melbourne vic

Quantitative Analyst - Systematic Hedge Fund

Financial Viability Analyst

Assistant Vice President, Markets Support Analyst (Global Markets Operations Risk & Control 2IC), Australia, Global Markets Operations

Principal Data Analyst

Head of GTM Operations

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