Job Description
Data Scientist | Fixed Income Investment Team
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Sydney CBD, NSW | Full-time | In office (5 days/week)
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Base salary up to $130,000 + Super
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Bonus up to 50% of annual salary + potential equity offered for this role
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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.)
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Join a High-Performing Fixed Income Investment Team
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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.
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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.
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If you're academically outstanding, thrive on challenging technical problems, and want to work with a high-performing team, this is an excellent opportunity.
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The Role
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As a Data Scientist, you will:
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Develop statistical and machine learning models for fixed income markets.
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Build, test and improve quantitative research pipelines.
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Work with large, complex datasets from multiple sources.
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Back-test investment models and benchmark research against leading academic literature.
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Productionise research into scalable, maintainable systems.
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Produce intuitive data visualisations and clearly communicate technical findings.
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Collaborate closely with the Data Science team and Portfolio Managers to drive innovation.
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No prior financial markets experience is required — our client is looking for exceptional quantitative thinkers.
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About You
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Successful candidates will demonstrate:
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Bachelor's degree (or higher) in Mathematics, Statistics, Computer Science, or a highly quantitative Engineering discipline.
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1–2 years of commercial experience in a data-related role (graduate applications will not be considered).
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Outstanding academic achievement, ideally including:
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99+ ATAR
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85+ WAM
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Strong statistical modelling and data analysis capabilities.
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Experience using R, Python, SQL or similar data analysis tools (experience with the R tidyverse ecosystem is highly regarded).
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Strong software engineering practices when contributing to shared codebases.
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Excellent written and verbal communication skills.
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A collaborative mindset, intellectual curiosity, and strong work ethic.
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What's on Offer
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Base salary up to $130,000 + Super
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Performance-based bonus ( 0–50% of annual base salary)
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Opportunity to participate in an equity ownership scheme
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Work on challenging, research-driven quantitative projects
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Significant ownership and responsibility from day one
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Long-term career progression within a rapidly expanding investment business
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Working Arrangements
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100% on-site
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Office located in Sydney CBD NSW
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About the Business
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Approximately 60 employees
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Data Science team of 11 specialists
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Reporting directly to the Head of Data Science
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Interview Process
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30-minute introductory call with the Head of Data Science
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Two-day take-home technical assessment
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Two-hour in-person technical and behavioural interview
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Additional Information
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This is a newly created role due to continued business growth.
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Interviews will commence immediately.
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Applicants must have full Australian working rights.
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Sponsorship is not available.
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Applicants must have full Australian working rights.
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