Quantitative Analyst

HSBC USA Inc.; Greater London; On-site; GBP 60,000 - GBP 80,000; Full time

Job summary

A leading financial institution in London is seeking a Traded Risk Quantitative Analyst to enhance risk models for global traded risk portfolios. This role involves developing VaR and RNIV models, utilizing Python for automation, and managing the complete Model Life Cycle. Candidates should possess a strong background in mathematics or finance, excellent analytical abilities, and experience in risk management. Join a forward-thinking team dedicated to shaping the future of trading risk management.

Qualifications

• Experience in risk management is preferred.
• Strong understanding of pricing and risk management of Rates products.
• Knowledge of market risk measures and derivatives.

Responsibilities

• Develop and improve VaR and RNIV models for Rates.
• Validate model performance using real-world data.
• Build Python-based tools and prototypes for testing models.
• Manage the full Model Life Cycle.
• Collaborate across teams to share insights and ensure consistency.
• Identify opportunities for automation and process improvements.
• Participate in ad hoc projects to support risk management decisions.

Skills

Python programming

Statistical analysis

Analytical skills

Team-oriented approach

Education

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

Job description

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

Location: London

Duration: 6 months with possible extension

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.

What you’ll be doing:

• 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.

What you’ll bring:

• 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!