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% in office
- 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
1. 30-minute introductory call with the Head of Data Science
2. Two-day take-home technical assessment
3. 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.
? Interested?
Please APPLY via LinkedIn or send your CV to
[email protected] or contact Charmaine Thum on 0439 320 538 for a confidential discussion.
Applicants must have full Australian working rights.
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