This role is suited to a graduate or early-career Quantitative Researcher joining RQI's Alpha Research team. We welcome applications from final-year students, recent graduates, and candidates with up to a few years of relevant industry experience who have strong quantitative training.

You will work closely with senior researchers and portfolio managers across the full lifecycle of systematic equity research — from idea generation and data analysis, through empirical testing and back‑testing, to implementation and ongoing model evaluation — with a focus on global and Australian equities.

The role is ideal for candidates who enjoy quantitative problem‑solving, working with data, and writing high‑quality research code, and who are looking to build a career in systematic investing.

About youYour experience

We don’t require a specific degree pathway, we prioritise quantitative strength, strong academic results, and demonstrated analytical capability.

- Final-year student, recent graduate, or early-career professional in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, Econometrics, or similar), with strong academic performance in mathematically or computationally focused subjects.
- Strong quantitative problem‑solving skills, including statistics, linear algebra, and optimisation
- Proficiency in Python for data analysis (Num Py, pandas; ML libraries a plus), with familiarity in Linux/Git; exposure to SQL, R or C++ advantageous
- Evidence of substantial research or project work (e.g. thesis, internships, major coursework), applying quantitative methods to real datasets
- Genuine interest in financial markets and systematic investing; prior finance experience not required

Research, data analysis & modelling

- Research and develop equity alpha signals across regions and investment horizons
- Apply statistical and econometric techniques to test hypotheses and assess robustness
- Work with large cross‑sectional and time‑series equity datasets




- Build and maintain Python research code covering data preparation, feature construction, and model estimation
- Evaluate model performance using back‑tests, attribution analysis, and diagnostic tools
- Analyse the interaction between alpha signals, risk, and portfolio constraints
- Develop clean, reproducible research code suitable for reuse and transition toward production, in collaboration with quantitative developers
- Contribute to internal tools that improve research speed, quality, and transparency
- Present research findings in team forums and iterate based on feedback
- Work closely with researchers and portfolio managers to refine research questions, interpret results, and prioritise next steps
- Receive structured mentoring and on‑the‑job training in equity markets, portfolio construction, risk models, and internal research governance

About RQI Investors

RQI Investors is a systematic equity asset management boutique within First Sentier Group, with assets under management greater than AUD 30 billion as at December 2025. Our investment philosophy is centered on developing and deploying advanced quantitative techniques, with a strong focus on machine learning, data science, and robust alpha modelling. We deliver alpha‑driven investment solutions across a diverse set of global and domestic equity strategies, combining academic rigor with real‑world implementation.

Our alpha strategies apply research in areas such as Natural Language Processing (NLP), machine learning, and network models to uncover hidden patterns and predict returns across a wide range of global and domestic equities.



By integrating traditional alpha signals with recent sources of data and emerging machine learning methodologies, we are able to refine our models dynamically and adapt to changing market conditions.

With a team of experts experienced in both quantitative finance and data science, RQI is focusses on systematically extracting value from data by applying rigorous research methodologies and developing scalable investment strategies that deliver consistent alpha.

Why Work with RQI?

At RQI, we specialize in integrating solid economic rationale and data science methodologies into systematic equity investment. Our team is driven by a commitment to research excellence, intellectual rigor, and collaboration, creating an environment where researchers can apply innovative techniques to develop robust investment strategies.

Joining RQI means contributing to a team dedicated to advancing quantitative investing through the exploration of diverse information sources and the practical application of machine learning within finance, grounded in solid investment principles. We provide a supportive, research‑focused setting that combines the agility of a boutique with the resources and global reach of the broader First Sentier Group.

Our commitment to Diversity, Equity & Inclusion (DE&I;)

We value the different experience, ideas and perspectives that our people bring to the work they do. We are committed to fostering an inclusive and equitable culture where diversity can thrive. We believe this leads to better outcomes for our people and our clients, and it’s the right thing to do.

We provide equal employment opportunities to applicants regardless of race, religion, sex, sexual orientation, gender identity or expression, disability, age, family status, or any other category protected by law.

If you require any adjustments throughout the recruitment process or as part of the role, please let us know so we can support you. #J-18808-Ljbffr

📌 Quantitative Researcher (Graduate/Early Career) (Australia)
🏢 RQI Investors
📍 Australia