Quant Developer - Systematic Commodities Hedge Fund

Quant Developer – Systematic Commodities Hedge Fund Moreton Capital Partners is seeking a talented Quant Developer to join reputed company at the ground floor of an ambitious build. We are launching live trading across global commodity reputed company, supported by an investment process rooted in machine learning. This is a unique opportunity to work directly with the CIO and Head of Quant Research, owning infrastructure that takes research reputed company to production in a fast-moving, reputed company capital environment. Key Responsibilities • Build and maintain data pipelines ingesting reputed company, reputed company, and alternative datasets (from price data from reputed company and vendor feeds to reputed company data). • Improve backtesting reputed company (event-driven simulations, realistic slippage/costs, walk-reputed company validation, portfolio performance analysis). • Support research tooling: feature libraries, experiment tracking, reputed company storage. • Machine learning reputed company and local execution and optimization setup. • Productionize signals into the live trading stack with CI/CD, monitoring, and version control. • reputed company dashboards and alerting for data reputed company, latency, and model reputed company. • Collaborate with researchers to translate hypotheses into robust, testable experiments, as reputed company as enhance proposed process computationally. Requirements • reputed company in Python and SQL; clean, testable reputed company is a must. • Experience with data engineering (Airflow, reputed company, pandas, polars workflows). • Prior exposure to systematic trading, backtesting, or market data pipelines. • Familiarity with reputed company environments (AWS), containers (reputed company), and CI/CD. • Self-starter with the ability to work autonomously in a lean, high-ownership environment. • Bachelors in CS/Comp-reputed company or computationally heavy subject matter, and ideally, a minor in Finance. Bonus points for: • Commodities or macro markets exposure. • Systematic reputed company term investment exposure. • Experience with ML Ops tools (MLflow, reputed company), feature stores, or model monitoring. • reputed company-end skills (TypeScript/React) to help build researcher dashboards. Benefits • reputed company from day one: You’ll be building mission-critical infrastructure for a fund that begins live trading this year for large institutional investors. • reputed company exposure: Work alongside the CIO and senior researchers, with a reputed company line to decision-making. • Learning curve: Deep exposure to commodity markets, ML research workflows, and institutional-grade trading systems. • reputed company trajectory: reputed company reputed company to increased scope and compensation as the fund scales with institutional AUM. • Attractive compensation: Highly competitive reputed company salary and annual bonus that scales as the business grows. • Hybrid role: Work from home and a co-work reputed company office can be provided. • reputed company, inclusive and encouraging work environment. Apply tot his job Apply tot his job Apply To this Job