Role Description
Develop and implement quantitative models, statistical methods, and systematic strategies to support investment and trading decisions.
Conduct rigorous research on financial markets, securities, alternative data, and market dynamics to identify actionable insights and alpha opportunities.
Design, backtest, validate, and optimize quantitative strategies, with a solid focus on robustness, risk-adjusted performance, and scalability.
Build analytical frameworks and research tools for signal generation, portfolio construction, risk management, and performance attribution.
Work with large and complex datasets to identify patterns, test hypotheses, and translate research findings into practical investment solutions.
Monitor model and strategy performance, investigate deviations, and continuously improve methodologies based on market conditions and research results.
Collaborate with portfolio managers, traders, engineers, and other quantitative professionals to develop data-driven solutions and enhance the overall research process.
Maintain high standards of research integrity, reproducibility, documentation, and model governance.

Qualifications
Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science,



Engineering, Finance, Economics, or a related quantitative discipline; advanced degree preferred.
Solid foundation in probability, statistics, linear algebra, optimization, time-series analysis, and quantitative modeling.
Robust programming skills in Python and/or other quantitative programming languages; experience with SQL and data analysis tools is a plus.
Solid understanding of financial markets, investment concepts, portfolio theory, and quantitative research methodologies.
Demonstrated ability to formulate hypotheses, analyze complex datasets, conduct empirical research, and communicate conclusions clearly.
Strong analytical, problem-solving, and critical-thinking skills, with exceptional attention to detail.
Familiarity with machine learning, statistical learning, factor models, portfolio optimization, or alternative data is highly desirable.
Ability to work independently while collaborating effectively across multidisciplinary teams.
Strong written and verbal communication skills, with the ability to present technical findings to both quantitative and non-quantitative audiences.

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📌 Quantitative Analyst Quantitative Research Analyst Sydney
🏢 Mobilite ve Otomotiv
📍 Sydney