National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Quantitative Analyst GFX

HSBC Global Services Limited
London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Data Analyst

Data Analyst - Distribution

Pricing Analyst

Data Analyst

 

 

HSBC Global Banking and Markets is an emerging markets-led, financing-focused business that provides investment and financial solutions. Through our international network, we connect emerging and mature markets, covering key growth areas. We partner with our corporate, government and institutional clients to help them achieve consistent, long-term performance. Our products and services include advisory, financing, prime services, research and analysis, securities services, trading and sales and transaction banking.

We are currently hiring a Quantitative Analyst GFX

Role Accountabilities

To design, develop, test and document the models developed to HSBC standards and to develop technical solutions for the users as required (Trading desks, Product Control, Traded Risks, etc.).

 

The successful candidate will also analyse and provide support to any issues identified in the models.

 

Required Skill/Experience

  • Demonstrable experience working as a Quantitative Analyst developing models in quantitative finance
  • A degree in mathematical finance, science or maths from a top tier university.
  • Knowledge of the standard pricing models used in the investment banking industry (Black-Scholes, Bachelier, local and stochastic volatility models, HJM framework…).
  • C++ experience (preferably using Visual Studio), with some knowledge of modern C++ (at least C++11).

Familiarity with Rates Products and Models

  • Solid background in quantitative finance: stochastic calculus, partial differential equations, no-arbitrage valuation, numerical analysis.
  • Knowledge of main instruments used in FICC business.
  • Strong C++  skills (C++11 or beyond appreciated).
  • Strong knowledge of Excel. 
  • Strong knowledge of Python
  • Experience with version control systems (such as Git) and distributed software development process.
  • Ability to work in fast-paced environment, with proven ability to handle multiple outputs at one time.

 

Being open to different points of view is important for our business and the communities we serve. At HSBC, we’re dedicated to creating diverse and inclusive workplaces. Our recruitment processes are accessible to everyone - no matter their gender, ethnicity, disability, religion, sexual orientation, or age.

 

We take pride in being part of the Disability Confident Scheme. This helps make sure you can be interviewed fairly if you have a disability, long term health condition, or are neurodiverse.

 

If you’d like to apply for one of our roles and need adjustments made, please get in touch with our Recruitment Helpdesk:

Email:
Telephone:

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.