2027 Public Markets Quants Internship Programme

This is a ten-week summer internship, posted on 28 August 2026 and finishing on Friday 20 August 2027, with the start date given as Monday 14 June 2027 and the seat in the City of London. The job title is Intern, the department is Quants (Public Markets), and the salary is £37,000 pro-rated over the internship. The page says you will undertake two rotations across quantitatively driven investment desks, giving you exposure to a broad spectrum of strategies, after introductory training with the wider intern intake. Source

Public Markets is the listed side of an investment house - shares and bonds traded on an exchange, priced continuously - as against private markets, where a manager buys assets directly and holds them for years. Quants is the token that changes everything after it. On the fundamental desks next door an analyst covers perhaps thirty companies and argues them one at a time; a quant seat writes a rule that decides hundreds of positions at once, tests whether that rule would have worked on twenty years of data, and then has to explain why it will keep working. The judgement is still investment judgement, but it is expressed in code and measured statistically, and the failure mode is a backtest that looks wonderful and does nothing with real money in it.

Be clear which kind of quant this is, because the word covers two unrelated careers. The technical list on this page is statistics, equity and fixed income factors, market data and at least one programming language with Python preferred - that is investment and factor research at an asset manager, not derivatives pricing on a bank's trading floor, where the reading is stochastic calculus and the job is valuing an option. If you have been preparing for the second thing, this is not that row. Prepare instead to walk through something you have actually built, line by line, and to say honestly what you tried that did not work.

There is no single desk on this row, and the page is deliberate about it: the internship spans three quantitative investment teams and you rotate across two of them, so the summer is split by design. What is not stated is which two you get, and those three are genuinely different careers - systematic equity factor investing, algorithmic trading, and quantitative fixed income sit in different rooms and hire different people five years later. Say in the application which of them draws you and why, and ask which two you have been allocated as soon as you know.

The three teams, in the firm's own words. Quantitative Equity Products combines fundamental insights with systematic quantitative research, applying a disciplined investment process and robust risk management at scale. Schroders Systematic Investments is focused on systematic, data-driven and algorithmic trading strategies. Quantitative Fixed Income uses quantitative techniques to facilitate dynamic, flexible investment across global fixed income markets. During the ten weeks you rotate across two of these three, and the page asks you to contribute actively, ask questions and take on work that builds your knowledge across the business. Source

Schroders is a global investment manager providing active asset management, wealth management and investment solutions, established in 1804, with around 5,500 people across 36 locations, serving pension schemes, insurance companies, sovereign wealth funds, endowments and foundations alongside high-net-worth individuals, family offices and clients reached through distributors, advisers and platforms. Source

One thing to weigh before you apply. This is a quant seat inside a large active asset manager rather than at a systematic hedge fund, and the difference shows up in what you build: research that has to survive a fund manager's questions and a client's risk limits, on strategies sold to pension schemes and insurers. Slower and more constrained than a pure systematic shop, and considerably broader - the three teams here span equities and fixed income - which is a real advantage when you do not yet know which corner of quant you want.

Five stages: the online application form, a Stage 1 cognitive online assessment, a Stage 2 behavioural and motivational assessment, a Stage 3 work simulation and video interview, and an assessment centre. The stated route out is a place on a 2028 Schroders Graduate Programme, subject to performance feedback. Source

A 2027 internship posted on 28 August 2026 is the annual summer cycle opening on time, nine and a half months ahead of the June start. Quant intakes in London are small and are chased by mathematics, statistics, computer science and physics students as well as by finance ones, so the field on this row is technically strong and the useful weeks are the early ones. The route out is a 2028 graduate seat, which makes the summer the interview for a job eighteen months away.

No closing date is printed on the page. Assume rolling review and apply now: with five stages to clear, the process itself runs for months, and a rotation programme across three small teams does not take many people.

When the internship starts you must have completed your second year of studies and be on track to graduate in 2028 with a degree or equivalent. All degree subjects are welcome, although the page says a Mathematics-focused discipline would be beneficial, and applications are not accepted from students in their final year who intend to undertake further study, a Master's for example, before entering employment. On top of the general list - macroeconomic awareness, interest in markets, structured reasoning, Excel, Word and PowerPoint - the quantitative teams ask specifically for knowledge of statistical techniques to gain scalable insights from data, knowledge of equity or fixed income factors and modelling techniques, knowledge of financial markets and fundamental company analysis, the ability to work with market data, and knowledge of at least one programming language, with Python preferred. Source

Every technical line is worded as 'preferred', which is true and also misleading in a field this competitive. Python and the ability to handle real market data are the practical bar: if you have never pulled a price series and tested an idea on it, do that before you apply rather than after, because the work simulation and the interview will both go there. Note too that the page asks for fundamental company analysis alongside the statistics - they want someone who knows what a factor is measuring, not only how to fit it.

The graduation rule is the hard gate: 2028, meaning your second year in autumn 2026. A 2027 graduate is a year late, and a final-year planning a Master's first is excluded outright. Mathematics is 'beneficial', not required, so a physics, computer science or economics student with real code behind them is squarely inside the door.