Quant Analyst

Location: Sydney

Antipodes Partners is a diversified multi-asset manager with A$18bn under management, with product offerings spanning across Global and Australian equities, Global listed infrastructure and Credit.

We are seeking a Quant Analyst to join the QMAT (Quant and Macro, Alternative Data and Trading) team with a passion for financial markets and investing to join our Global Equities business. 4 to 8 years of relevant industry work experience is desirable. The role will be Sydney based.

Strong academics in degrees relating to Finance, Economics, Quant Finance, Software Engineering, Computer Science, Data Science, Science, Physics, Statistics, Mathematics, or Actuarial are necessary. The preference is for PhD level applicants; however, experienced Graduate and Post Graduate level applicants are also encouraged to apply.

**Responsibilities**:
**Alpha Signal Research and Integration**:You will research and test new alpha signals and factors for integration into existing strategies, exploring alternative data sources and advanced feature engineering techniques. In partnership with the sector teams and CIO, you will collaborate to incorporate these insights into the firm’s investment processes to enhance alpha generation.

**Quantitative Research and Strategy Development**: You will design, implement, and refine systematic trading strategies across global equity markets. You will conduct rigorous back testing to evaluate strategy performance, risk, and robustness, and develop scalable frameworks for simulation and testing.

**AI Systems Integration**:In partnership with the sector teams, you will integrate and maintain various AI platforms, tools, and frameworks to enhance fundamental equity research workflows. As the hands-on implementor, you’ll help design scalable, secure, and compliant AI-driven processes while staying current with best practices and emerging trends.

**Software Development and Data Management**:You will design and maintain scalable code for financial data analysis and strategy implementation using Python and R while leveraging cloud computing. You are comfortable in both Windows and Linux based environments. You will handle and interpret datasets sourced from SQL, REST APIs, AWS S3, Azure Blob Storage, and Snowflake. You’ll build and refine data pipelines and processes to ensure our robust data foundation is maintained.

**Machine Learning**:As a key implementor and collaborator on machine learning initiatives, you will develop, refine, and maintain advanced ML algorithms that complement traditional fundamental analysis. Your responsibilities include ensuring robust model performance and explainability, iterating to improve results, and aligning quantitative signals with qualitative insights to support investment objectives.

**Collaboration and Communication**:You will regularly collaborate with CIO, PMs, traders, and data engineers to ensure project outcomes align with investment goals. On an ongoing basis, you will provide actionable insights that contribute to investment discussions and decisions.

About you:

- You are problem solving oriented with a focus on business outcomes. You will strive to find the best solution within the expected timeframe.
- You have a willingness to learn new coding languages as needed, and an ability to learn them in a short timeframe.
- You are mathematically minded in areas including linear algebra, statistics, and time series analysis.
- You are a natural numbers detective. You thrive working with large datasets, seeking insights/relationships in an otherwise meaningless mass of data.
- You have strong writing skills with an ability to articulate and communicate your ideas/findings clearly and concisely.
- You enjoy building systems, and you are not afraid to continually experiment with new ideas and techniques for improving workflow.

We value:

- Natural curiosity regarding the events and trends that shape the world.
- An ability to problem solve, from high-level conceptualisation through to detailed recommendations.
- Creative, independent, and rational thinking.
- Patience, persistence, and resilience; and
- Selfless team players.

How to apply:

- Curriculum Vitae,
- Academic Record, and
- A brief cover letter that explains why you would be most suitable for the role.