Quantitative Analyst

HSBC; Greater London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading financial institution in London seeks a Traded Risk Quantitative Analyst for a 6-month contract to develop and enhance risk models within a dynamic environment. The role involves creating VaR and RNIV models, validating performance, and building tools using Python. Candidates should possess a strong background in Math or related fields, along with risk management experience. This is a fantastic opportunity for professionals passionate about quantitative analysis and risk management.

Qualifications

• Experience in developing and enhancing risk models for global traded risk portfolios.
• Familiarity with regulatory frameworks like FRTB.
• Strong understanding of pricing and risk management of Rates products.

Responsibilities

• Develop and improve VaR, RNIV models.
• Validate model performance using real-world data.
• Build Python-based tools for testing models.
• Manage the full Model Life Cycle.
• Collaborate across teams for consistency.
• Identify automation and process improvement opportunities.

Skills

Mathematical expertise

Python programming

Statistical analysis

Risk management knowledge

Analytical skills

Communication skills

Education

Background in Maths, Engineering, Science, Finance, or Business Management

Job description

Overview

Job title: Traded Risk Quantitative Analyst – Fixed Income Risk Modelling

Location: London

Duration: 6 months with possible extension

Rate: Up to £866.00 per day via an approved umbrella company

Our client, a leading financial institution, is hiring for a reputable organisation to support the development and enhancement of risk models for global traded risk portfolios. This is an exciting opportunity to contribute to sophisticated risk measurement and management processes within a dynamic environment.

Responsibilities

• Develop and improve VaR, RNIV models for Rates, ensuring compliance with internal and regulatory standards.
• Validate model performance using real-world data, assessing assumptions, limitations, and proposing validation strategies.
• Build Python-based tools and prototypes to test models, automate processes, and measure impacts of model changes.
• Manage the full Model Life Cycle—from defining objectives, development, testing, documentation, to ongoing validation and regulatory review.
• Collaborate across teams to ensure consistency and share insights, explaining complex model details in clear, non-technical language.
• Identify opportunities for automation, process improvements, and enhanced controls, documenting all changes for transparency.
• Participate in ad hoc projects, providing timely and coherent insights to support risk management decisions.

Requirements

• A background in Maths, Engineering, Science, Finance, or Business Management, with experience in risk management.
• Strong understanding of pricing and risk management of Rates products.
• Proficiency in Python programming and statistical analysis.
• Knowledge of market risk measures, derivatives, and regulatory frameworks like FRTB.
• Excellent analytical skills, with the ability to process large data sets and communicate findings effectively.
• Ability to work under pressure, with a flexible, team-oriented approach and a desire to learn and grow in a challenging environment.

This is a fantastic chance to join a forward-thinking team, working on impactful risk models that shape the future of trading risk management. If you’re passionate about quantitative analysis and risk, we’d love to hear from you!