Data Scientist
Why This Role Stands Out
You will leverage your advanced quantitative skills to build sophisticated models and production systems within a high-performing fixed income investment team, directly impacting investment strategies. This on-site role offers a competitive salary of USD 130,000 and is ideal for an academically strong individual with 1-2 years of commercial data experience eager to tackle complex challenges in a dynamic environment. Apply today to join a growing firm and contribute to cutting-edge quantitative research.
Quick Overview
Job Description
Data Scientist Base salary up to $130,000 + Super
Sydney, CBD NSW Full-time On-site (5 days/week in the office/onsite)
Join a High-Performing Fixed Income Investment Team
Our client is a rapidly growing fixed income fund manager with a team of 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- 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- A 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).
- Nice to have: 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 a strong work ethic.
- Base salary up to $130,000 + Super
- Performance-based bonus
- 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
- 100% on-site
- Office located at Sydney CBD NSW
- Approximately 60 employees
- Data Science team of 11 specialists
- Reporting directly to the Head of Data Science
- 30-minute introductory call with the Head of Data Science
- Two-day take-home technical assessment
- Two-hour in-person technical and behavioural interview
- 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 for the role via LinkedIn or send your CV to or contact Charmaine Thum on for a confidential discussion.
Applicants must have full Australian working rights.
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