Quantitative Researcher

Quantitative Researcher

Key responsibilities:

• Coach, mentor and help grow an existing team of Quantitative Researchers.
• Conduct research into alpha opportunities, pricing improvements, hedging effectiveness and execution performance across CMC's product set.
• Research, develop and deploy machine learning and AI models to improve pricing, forecasting, risk management and trading decision-making across the business.
• Partner with developers and trading stakeholders to productionise research outputs and monitor model performance after deployment.
• Translate complex analytical findings into clear recommendations for both technical and non-technical audiences.
• Maintain personal/professional development to meet the changing demands of the role, including all relevant regulatory and legislative training.
• Take all reasonable steps to ensure appropriate confidentiality.
• Key skills & experience:
• A degree in quantitative finance, mathematics, computer science or equivalent disciplines.
• Strong analytical and quantitative research capabilities, ideally gained in trading, market making, electronic execution, derivatives or other front-office environments.
• Experience applying machine learning and AI techniques to financial and time-series data, including feature engineering, model selection, validation and performance monitoring.
• Strong skills in Python, SQL and time-series analysis.
• Experience using Python ML libraries such as scikit-learn, XGBoost, PyTorch or TensorFlow.
• Experience analysing high-volume or high-frequency time-series data and building reliable research workflows.
• Ability to design robust experiments and evaluate models using appropriate metrics, cross-validation and out-of-sample testing.
• Understanding of model governance, explainability, bias, overfitting and production monitoring in a regulated environment.
• Excellent communication skills, both written and spoken.
• CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.