# Quant Trading and Machine Learning Associate - Internship - UK, London

[HSBC](https://www.jorb.ai/firms/hsbc.md) · London · United Kingdom · [Sales & Trading](https://www.jorb.ai/jobs/sales-trading.md)

HSBC is hiring a Quant Trading and Machine Learning Associate - Internship - UK, London in London. Posted 2025-10-02; applications close 2025-12-01.

**Apply**: https://hsbcearlycareers.groupgti.com/data-analyst---quantitative-finance---internship---uk-london/328/viewdetails

Posted 6mo ago.

## Role details

## Quant Trading and Machine Learning Associate – Internship

Location: London, UK • Start date: May / June 2026 • Duration: 12 weeks • Programme: Internship Programme • Area of interest: Data Analytics • Country or Territory: UK

## You are

We’re looking for logical problem-solvers who enjoy finding patterns and making decisions with data. You don’t need to know everything about Quantitative Finance yet – what matters most is your drive to learn, your integrity, and your ability to stay sharp under pressure.

  
- Analytical – able to break down complex data and spot insights.
  
- Resilient – determined to overcome barriers and deliver results in a fast-paced environment.
  
- Ownership-minded – confident taking responsibility and making decisions with limited information.
  
- Clear communicator – you explain ideas simply, summarise quickly and get your point across.
  
- Agile and adaptable – open to new information and comfortable switching gears when things change.

## You’ll need

  
- To be working towards a Master’s or PhD in a Mathematical or Quantitative subject (e.g. Maths, Physics, Computer Science, Engineering, Quantitative Finance).
  
- Solid grounding in mathematics, statistics and probability.
  
- Proficiency in at least one object-oriented programming language (e.g. Python, C++, Java).
  
- A demonstrable independent research project (e.g. Master’s thesis, PhD).
  
- Expertise in one or more of the following: machine learning, signal processing, stochastic calculus, optimisation, numerical analysis, forecasting models, Monte Carlo simulation.

## What you’ll do

You’ll support our Markets & Securities Services business in our Trading, Sales, Structuring or Quantitative teams. You’ll get to use cutting-edge techniques across derivatives, algorithmic trading, financial products engineering, machine learning and data analysis.

Here’s a snapshot of what’s involved:

  
- Supporting colleagues worldwide, learning from their expertise.
  
- Researching and interpreting data from financial statements, economic indicators, news and market trends.
  
- Supporting traders with data collection, visualisation, report generation and maintaining records.
  
- Monitoring market performance, spotting opportunities, risks and potential trade strategies.
  
- Competing in virtual trading exercises to sharpen decision-making skills.
  
- Learning the dynamics that drive markets, understanding correlations and building a feel for what to watch when trading.
  
- Formulating clear market views and confidently presenting trade ideas and investment solutions.
  
- Working closely with traders to perform risk assessments, apply different strategies and develop trading ideas.
  
- Training on Bloomberg, Reuters and HSBC’s proprietary tools.
  
- Developing coding and data skills, using Excel, VBA and Python to build tools and models.

## What you’ll learn

  
- On-the-ground experience – real-world exposure to global markets.
  
- Expert-led insight – a 12-week programme covering HSBC’s approach to quantitative analytics and its role in the wider bank.
  
- Stakeholder management – learn to work across teams, cultures and geographies.
  
- Future focus – understand where Markets is heading, from customised trading systems to automation.

## Eligibility criteria

  
- Available to work full time for 12 weeks commencing in May/June 2026.
  
- To be working towards a Master’s or PhD in a Mathematical or Quantitative subject (e.g. Maths, Physics, Computer Science, Engineering, Quantitative Finance).
  
- Fluent in English.

## Closing date

Sunday, 04 January 2026 23:59 (UK time)

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Updated: 2026-04-23
Canonical: https://www.jorb.ai/jobs/69e5e9e67e8188ffcf7ec267