Senior Quantitative Analyst

Risk Distribution & Controls Corporate & Institutional Banking

Location: Edinburgh / Hybrid

Contract: 6 months

Rate: Competative

IR35: Inside IR35

A leading financial services organisation is looking for a Senior Quantitative Analyst / Python Quant Engineer to support the consolidation of multiple modelling tools into a centralised Python-based Monte Carlo modelling framework.

This is a hands-on technical role requiring a strong mix of quantitative/statistical modelling and production-grade Python engineering. The successful candidate will help migrate existing models, optimise simulation performance, support AWS deployment, and make the framework easier to use across business teams.

• Develop, migrate, and enhance quantitative models within a central Python framework.
• Build and optimise Monte Carlo simulation models and statistical analytics.
• Write efficient, maintainable Python code suitable for production use.
• Support migration of spreadsheet and standalone models into Python.
• Work with AWS environments, including storage, databases, and compute.
• Improve model performance, scalability, usability, and governance.
• Act as a bridge between quant teams, business users, risk, and technology stakeholders.

• Strong hands-on Python development Experience.
• Experience writing efficient, scalable Python code beyond basic scripting.
• Strong Experience with Monte Carlo simulation, stochastic modelling, or advanced statistical modelling.
• Good statistical judgement and ability to assess model outputs.
• Experience developing algorithms, simulations, or analytical frameworks.
• Exposure to AWS or similar cloud environments.
• Strong stakeholder communication skills across technical and non-technical teams.

• Financial services, banking, capital markets, structured finance, credit risk, or capital modelling Experience.
• Actuarial, insurance, or other Monte Carlo-heavy modelling backgrounds.
• Experience migrating spreadsheet-based models into Python.
• Exposure to model governance, risk frameworks, controls, or operational risk.
• Experience building tools or interfaces for non-technical users.

The ideal profile is a 50/50 Quant Analyst and Python Engineer someone who combines strong statistical modelling capability with robust Python development skills.

They should be comfortable across:

• Monte Carlo and statistical modelling.
• Python engineering and performance optimisation.
• AWS deployment and infrastructure conversations.
• Risk, controls, and stakeholder-facing delivery.

• Python
• Quantitative analysis
• Monte Carlo simulation
• Risk management
• Data quality
• Risk & Controls

Opportunity to work with a large, recognised financial services institution on a high-impact modelling and analytics initiative within a regulated environment.

Job Title: Senior Quantitative Analyst

Location: Edinburgh, UK

Job Type: Contract

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