Quantitative Researcher

CMC MARKETS PLC; London Borough of Southwark; Presencial; GBP 80.000 - 120.000; Jornada completa

Descripción de la vacante

CMC Markets plc in London is seeking an ML researcher/quant to advance pricing, forecasting and trading decision support. You will work with developers and trading stakeholders to productionise outputs and monitor model performance in production.

The role requires a quantitative degree and strong Python/SQL along with time-series expertise to deliver reliable research workflows in a regulated trading environment.

Formación

• A degree in quantitative finance, mathematics, computer science or equivalent.
• Strong analytical and quantitative research capabilities in trading/front-office environments.
• Experience applying ML/AI techniques to financial/time-series data and feature engineering.
• Strong Python, SQL and time-series analysis skills.
• Experience with Python ML libraries such as scikit-learn, XGBoost, PyTorch or TensorFlow.
• Understanding model governance, explainability and production monitoring in regulated environments.

Responsabilidades

• Research, develop and deploy ML/AI models for pricing, forecasting and trading decisions.
• Partner with developers and traders 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 up-to-date regulatory and governance training and handle confidentiality.
• Design robust experiments and evaluate models with appropriate metrics and cross-validation.

Conocimientos

Time-series analysis

Quantitative research

Experiment design

Model deployment

Educación

Degree in quantitative finance / mathematics / computer science

Herramientas

Python

SQL

scikit-learn

XGBoost

PyTorch

TensorFlow

Descripción del empleo

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.SummaryLocation: LondonType: Full time