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Investment Management Data Scientist, Senior Specialist

Melbourne, Australia💼 Full-time🗓 2026-07-09 → 2026-07-31

Core

Lead Quant Research Scientist building and deploying advanced ML solutions for fixed income trading strategies.

Role type

Senior Applied Research Scientist (Quantitative Trading)

Builds

Production ML models and systematic trading solutions for fixed income

Domain

Fixed Income Investment Management / Quantitative Trading

Deliverable

production ML models

Required skills

Applied deep learning, quantitative trading, Python (SageMaker, Databricks), rigorous evaluation frameworks (OOS, Sim, back-test), research leadership, project management

Preferred skills

Fixed income investment management, CFA or related financial knowledge, systematic workflows in Investment Management

Technologies

Python, SageMaker, Databricks, deep learning, convex optimization, stochastic simulation

Responsibilities

Lead multi-disciplinary research teams, build custom deep learning architectures, execute long-horizon research scopes, create evaluation frameworks, analyze results

Seniority

Senior, hands-on IC with research leadership

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