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.
You could be a great fit if you’re:
- 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
You’ll gain the technical and professional skills to thrive. You can expect:
- 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)
