Data Scientist

Overview

Join a rapidly expanding fixed income investment firm based in Sydney's CBD as a Data Scientist. You will become part of a high-achieving team of approximately 60 professionals, including an 11-member Data Science unit. Here, you'll contribute directly to investment decisions by tackling challenging quantitative problems and building advanced models and production systems.

Key Responsibilities

• Design and implement statistical and machine learning models tailored for fixed income markets.
• Develop, test, and refine quantitative research pipelines to handle complex data effectively.
• Manage and analyze extensive datasets from various sources to extract actionable insights.
• Conduct rigorous back-testing of investment models and assess research against prominent academic work.
• Convert research findings into scalable, maintainable production systems.
• Create clear, insightful data visualizations and communicate technical results to stakeholders.
• Collaborate closely with Portfolio Managers and team members to foster innovation and improve strategies.

Candidate Profile

• Holds a Bachelor’s or higher degree in Mathematics, Statistics, Computer Science, or a quantitatively intensive Engineering discipline.
• Possesses 1 to 2 years of commercial experience in data-related positions; recent graduates without experience will not be considered.
• Strong statistical modeling and data analysis skills.
• Proficient with R, Python, SQL, or similar analytical tools; familiarity with the R tidyverse is highly valued.
• Adheres to robust software engineering principles especially in collaborative codebases.
• Excellent communication abilities, both written and verbal.
• Intellectually curious with a cooperative attitude and a strong work ethic.
• Outstanding academic results are a plus, including ATAR above 99 and WAM over 85.

Compensation and Benefits

• Competitive base salary of up to $130,000 plus superannuation.
• Performance-linked bonus opportunities.
• Participation in an equity ownership scheme.
• Engagement with complex, research-driven quantitative projects.
• Significant ownership and accountability starting immediately.
• Clear pathways for career advancement within a fast-growing investment organization.

Working Conditions

• Full-time role, required to be on-site five days a week in the Sydney CBD office.
• Reports directly to the Head of Data Science within a team of 11 specialists.
• Company employs about 60 staff members in total.

Recruitment Process

• Introductory 30-minute call with the Head of Data Science.
• Two-day take-home technical assignment.
• Two-hour in-person technical and behavioral interview.

Additional Notes

• This is a new position created due to ongoing business expansion.
• Sales sponsorship is not available; applicants must have full Australian working rights.
• Interviews are scheduled to begin immediately.