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

Quant Trading and Machine Learning Associate - Graduate

Location: London, United Kingdom

Start date: July 2026

Duration: 1 year

Programme: Graduate Programme

Area of interest: Data Analytics

Business area: Corporate and Institutional Banking

You’ll fit best if you are

• 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.

What you’ll need

• A Master’s or PhD in a Mathematical or Quantitative subject (e.g. Maths, Physics, Computer Science, Engineering, Quantitative Finance).
• Proficiency in at least one object-oriented programming language (Python, C++, Java, etc.).
• A demonstrable independent research project (e.g. Master’s thesis, PhD).
• Expertise in at least one of: signal processing, machine learning, stochastic calculus, numerical analysis, optimisation, forecasting models, Monte Carlo simulation.

What you’ll do

You’ll help colleagues and clients interpret data, make well-timed investments and develop forward-looking financial strategies. You’ll gain a holistic view of Quantitative Finance across markets, trading, sales, structuring and analysis.

What you’ll get involved in

• 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 your 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

You’ll gain the technical knowledge, global exposure and professional confidence to thrive. You can expect:

• On-the-ground experience – a one-year programme with two six-month rotations in Markets Front Office.
• Expert-led training – nine days of structured sessions to sharpen your technical and behavioural skills.
• Stakeholder management – learn to work with colleagues and clients across countries and cultures.
• Future focus – understand where Markets is heading, from customised trading systems to automation.

Eligibility criteria

• Available to work full time from July 2026 onwards.
• 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)