Senior Quantitative Analyst

Senior Quantitative Analyst / Python Quant Engineer

Risk Distribution & Controls | Corporate & Institutional Banking

Location: Edinburgh / Hybrid

Contract: 6 months

Rate: Competative

IR35: Inside IR35

Role Overview

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.

Key Responsibilities

• 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.

Required Skills & Experience

• 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.

Desirable Experience

• 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.

Ideal Candidate

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.

Skills

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

Employee Value Proposition

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

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.