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Contract Quantitative Equity Analyst / Python Developer – remote, flexible hoursFocus on deploying market-neutral Australian equity strategiesImmediate mandate to review, optimise and extend an existing live Python stackWhy Join Blend green-field research freedom with a robust code base ready for enhancementCollaborate with founder-CIOs who value speed, autonomy and pragmatic problem-solvingInitial Mandate Audit current Python modules for earnings momentum, risk and executionEnrich the momentum factor by harvesting analyst EPS revisions from FactSetConvert a MATLAB dividend arbitrage strategy to Python and push to productionAutomate end-of-day reversal strategy to trade Australian equities into the closePipe outputs directly into Interactive Brokers via API for straight-through executionCore Responsibilities Refine long / short signals within the Grinold & Kahn framework – alpha, risk, costStrengthen FactSet data pipelines for financials, estimates and eventsEnhance transaction cost models for Australian microstructureBuild portfolio optimisation balancing return, risk, fees, tax and liquidityMaintain automated trade orchestration, monitoring and exception handlingContinuously profile, test and refactor the Python code baseMust-Have Expertise Proven delivery of systematic equity portfolios using Grinold & Kahn conceptsExpert Python with vectorised research and production experienceLive implementation of momentum and reversal strategiesInteractive Brokers API integration for execution and position managementAI-first development mindset with disciplined QA and debuggingBootstrap "get-things-done" mentality – shipping quality code is the default, focused on improving Calmar & Sharpe ratioPreferred Attributes Interest in behavioural finance and alternative data for incremental edgeFamiliarity with Australian franking credits, tax roll-up and T+2 settlement nuancesWork Style & Requirements Fully remote – overlap with Sydney trading hours for key deploys and reviewsSuperior written and spoken English at postgraduate (PhD) proficiency levelEngagement terms open – milestone-based outcomes preferredHow to Stand Out Share a concise case study of a live long / short implementation and realised alphaOutline your approach to validating signal robustness and mitigating overfittingApplication Steps 1 Personality & Strengths Test – complete at , export full PDF and reflect (2 Mensa IQ test – take at and include results
3 Email CV, code samples and the above materials to
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Quantitative Analyst • Australia