Quantitative Equity Analyst

Job Description

Quantitative Equity Analyst / Python Developer (Contract, Remote) Australian Market-Neutral Quantitative Equities Strategies We are seeking a Quantitative Equity Analyst / Python Developer to work remotely on a contract basis (days/hours negotiable). This role offers a unique opportunity to work directly with the fund’s founders to enhance and implement systematic, market-neutral equity strategies using the Grinold and Kahn framework . Initial Project Scope The successful candidate will be responsible for: Enhancing the existing earnings momentum strategy by extracting individual analyst EPS forecasts from FactSet to capture additional alpha. Automating trade execution by integrating strategy outputs directly into Interactive Brokers (IBKR) . Deploying an existing MATLAB-based Dividend Strategy by converting and putting it into full production. Developing a daily reversal strategy that systematically trades into the close. Key Responsibilities Beyond the initial scope, the role will involve: Quantitative Strategy Development: Refining and expanding systematic long/short equity strategies. Researching and testing new alpha signals , particularly in behavioural finance (e.g., earnings momentum, reversal). Financial Data Engineering & Risk Modeling: Cleaning, structuring, and managing financial and accounting data from FactSet . Reviewing and improving equity risk models and transaction cost models . Portfolio Construction & Optimisation: Building frameworks that balance forecast returns, risk, costs, and tax . Ensuring optimal exposure to investment insights while minimising unintended risks. Trading & Execution Automation: Implementing strategies with direct integration into IBKR via API . Leveraging GitHub Copilot and other tools to enhance efficiency. Ideal Candidate Profile Experience in a systematic long/short equity fund , with strong technical and computational skills. Practical knowledge of the Grinold & Kahn framework for risk-adjusted quantitative investing. Expert-level Python proficiency for research, portfolio modelling, and execution. Hands-on experience working with FactSet financial data and the Interactive Brokers API . Familiarity with MATLAB , particularly for financial model implementation. A passion for quantitative research and systematic trading , with the ability to execute ideas into production. Screening Questions Candidates will be asked to answer the following during the initial screening phase: Are you a Python expert? Have you applied the Grinold & Kahn framework to market-neutral equity strategies? Do you have experience working with FactSet and financial markets data? Have you worked with the Interactive Brokers API for trade automation? Do you have experience converting MATLAB-based models into a production environment? This is a high-impact role offering flexibility and the opportunity to contribute meaningfully to an innovative quantitative investment process. If you have the required skills and experience, we encourage you to apply. Seniority level Entry level Employment type Contract Industries Venture Capital and Private Equity Principals #J-18808-Ljbffr