Data Scientist

Data Scientist | Fixed Income Investment Team

Sydney CBD, NSW | Full-time | On-site (5 days/week)

Base salary up to $130,000 + Super

Bonus up to 50% of annual salary + potential equity offered for this role

IMPORTANT NOTE: The client requires candidates to have a minimum of 99% ATAR in college or 85% WAM (Weighted Average Mark) from an AU/UK/USA/New Zealand high school/college. (Other colleges or high schools not considered.)

Join a High-Performing Fixed Income Investment Team

Our client is a rapidly growing fixed income fund manager with approximately 60 professionals, including an 11-person Data Science team, building sophisticated quantitative research and data science capabilities.

They are looking for an exceptional Data Scientist to join their Sydney-based team. This is a research and engineering-intensive role where you'll work alongside Portfolio Managers and the Head of Data Science to develop models, build production-grade systems, and solve complex quantitative problems that directly influence investment decisions.

If you're academically outstanding, thrive on challenging technical problems, and want to work with a high-performing team, this is an excellent opportunity.

The Role

As a Data Scientist, you will:

• Develop statistical and machine learning models for fixed income markets.
• Build, test and improve quantitative research pipelines.
• Work with large, complex datasets from multiple sources.
• Back-test investment models and benchmark research against leading academic literature.
• Productionise research into scalable, maintainable systems.
• Produce intuitive data visualisations and clearly communicate technical findings.
• Collaborate closely with the Data Science team and Portfolio Managers to drive innovation.

No prior financial markets experience is required — our client is looking for exceptional quantitative thinkers.

About You

Successful candidates will demonstrate:

• Bachelor's degree (or higher) in Mathematics, Statistics, Computer Science, or a highly quantitative Engineering discipline.
• 1–2 years of commercial experience in a data-related role (graduate applications will not be considered).
• Outstanding academic achievement, ideally including:
• 99+ ATAR
• 85+ WAM
• Strong statistical modelling and data analysis capabilities.
• Experience using R, Python, SQL or similar data analysis tools (experience with the R tidyverse ecosystem is highly regarded).
• Strong software engineering practices when contributing to shared codebases.
• Excellent written and verbal communication skills.
• A collaborative mindset, intellectual curiosity, and strong work ethic.

What's on Offer

• Base salary up to $130,000 + Super
• Performance-based bonus ( 0–50% of annual base salary)
• Opportunity to participate in an equity ownership scheme
• Work on challenging, research-driven quantitative projects
• Significant ownership and responsibility from day one
• Long-term career progression within a rapidly expanding investment business

Working Arrangements

• 100% on-site
• Office located in Sydney CBD NSW

About the Business

• Approximately 60 employees
• Data Science team of 11 specialists
• Reporting directly to the Head of Data Science

Interview Process

• 30-minute introductory call with the Head of Data Science
• Two-day take-home technical assessment
• Two-hour in-person technical and behavioural interview

Additional Information

• This is a newly created role due to continued business growth.
• Interviews will commence immediately.
• Applicants must have full Australian working rights.
• Sponsorship is not available.

Applicants must have full Australian working rights.

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