Senior Quantitative Analyst

About the role

MultiBank Group is seeking a Senior Quantitative Analyst to join its Quantitative Dealing team. The role focuses on developing, validating, and deploying data‑driven models that enhance understanding of client behaviour, trading activity, and market conditions.

Key responsibilities

• Design, build, validate and maintain quantitative models and machine‑learning methods using financial, trading, client and market data.
• Translate trading and business questions into research hypotheses, measurable outcomes and analytical solutions.
• Extract, transform, validate and analyse large datasets with Python, PySpark and SQL.
• Engineer, document and validate robust features from transactional, market and operational data.
• Apply statistical, machine‑learning and AI techniques to identify patterns and generate actionable insights.
• Evaluate model performance, robustness, stability and explainability, and communicate findings to technical and non‑technical stakeholders.
• Develop scalable data and model workflows on AWS services such as Glue, SageMaker, Athena and related tools.
• Collaborate with Data Analysts and other stakeholders to maintain reliable data foundations and support complex analytical work.

Required profile

• 5‑8+ years of professional experience in quantitative analysis, data science, machine learning or related analytical roles.
• Strong Python experience for data analysis, modelling, feature engineering and production‑quality workflows.
• Proficient SQL skills working with large, complex datasets.
• Experience with PySpark or other distributed data‑processing frameworks.
• Demonstrated ability to build and evaluate predictive models, both supervised and unsupervised.
• Understanding of statistical modelling, time‑series analysis, model validation and deployment trade‑offs.
• Experience with financial markets, trading or brokerage datasets, preferably FX, CFD or brokerage data.
• Ability to investigate and reconstruct complex business, trading and system events into reliable analytical logic.

Required skills

• Python
• SQL
• PySpark
• AWS (Glue, SageMaker, Athena)
• Machine‑learning and statistical modelling
• Time‑series analysis

What we offer

• Competitive salary and comprehensive employee benefits.
• Opportunities for professional growth and career advancement.
• Collaborative, inclusive and dynamic work environment.