Company Description Optilic is a quantitative-focused organization that applies data-driven methods to solve complex problems in financial markets and related domains. The team combines statistical modeling, analytics, and technology to develop and refine trading strategies and decision-making frameworks. Interns at Optilic gain exposure to professional research workflows, tools, and datasets used in real-world quantitative analysis. The organization values curiosity, rigor, and collaboration, offering a learning-oriented environment where emerging talent can develop practical skills. Optilic encourages new ideas, evidence-based thinking, and a systematic approach to problem solving. Role Description The Quantitative Research Internship is a full-time, on-site role based in Sydney, NSW. Interns will support the research team in designing and testing quantitative models, analyzing large datasets, and evaluating trading strategies. Day-to-day tasks include data cleaning and preprocessing, statistical analysis, backtesting algorithms, and documenting research findings in clear reports and presentations. Interns will collaborate with quantitative researchers and traders to interpret results, refine hypotheses, and iterate on models. The role provides hands-on experience with tools commonly used in quantitative finance and research,



and offers mentorship to help interns develop strong analytical and technical capabilities. Qualifications
- Robust analytical skills, including the ability to interpret complex data, identify patterns, and propose data-driven hypotheses.
- Foundational knowledge of quantitative research and quantitative analytics, with interest in applying these methods to financial or economic problems.
- Solid understanding of statistics, including probability, statistical inference, and regression or time-series analysis.
- Interest in trading and financial markets, with willingness to learn about market microstructure and strategy evaluation.
- Proficiency in a programming language commonly used for data analysis (e.g., Python, R, or MATLAB) and familiarity with data manipulation libraries.
- Currently pursuing or recently completed a degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Physics, Finance, or a related discipline.
- Ability to work on-site in Sydney, NSW, collaborate within a team, manage time effectively, and communicate findings clearly in written and verbal form.
- Experience with databases, data visualization tools, or version control (e.g., SQL, Pandas, Jupyter, Git) is beneficial but not required.

📌 Quantitative Research Internship (Sydney)
🏢 Optilic
📍 Sydney