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

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)