Every published piece filed under careers. Written for people working in, moving into or hiring across quant firms, and readable without applying for anything.
A guide to Jane Street careers across trading, software engineering, research, and infrastructure, explaining the interview process, desk structures, and global offices.
Key takeaways: Jane Street recruits across engineering, trading, quantitative research, infrastructure, and operations, without requiring prior financial background for entry-level or mid-career candidates.
What roles does Jane Street hire across its global offices?: Jane Street hires across four primary functional areas: trading, software development, quantitative research, and business operations.
Quant jobs encompass a range of highly specialised roles within quantitative trading firms, hedge funds, and market makers, extending beyond core quant research to include software engineering, data science, machine learning, trading, and operations. These positions are primarily concentrated in key financial hubs globally, with varied demand and specialisation across locations.
What Types of Quant Jobs Are There?: Quant jobs span a wide range of functions, each critical to a firm's operation, extending significantly beyond the traditional quantitative researcher.
Where Are Quant Jobs Concentrated?: Quant jobs are geographically concentrated in global financial hubs, with each location offering distinct characteristics in terms of firm types, specialisations, and work culture.
The term quantitative analyst covers fundamentally different jobs depending on whether you sit in an investment bank, a market maker or a hedge fund. Here is how to target the right desk, pass the screen and assess the compensation structure.
Key takeaways: The title quantitative analyst covers distinct jobs: sell-side pricing and risk analytics, market-making automated pricing, and hedge fund alpha generation.
What does a quantitative analyst actually do?: Quantitative analyst jobs vary by employer type, with the title masking three distinct functions across financial markets.
Quantitative developers build and maintain the sophisticated software systems that power trading strategies, data analysis, and risk management within quantitative trading firms. Their work directly impacts trading performance and firm profitability, requiring strong programming skills and an understanding of financial markets and quantitative methods.
What do quantitative developers actually build?: Quantitative developers build and maintain a wide array of systems critical to quantitative trading operations.
What skills do quantitative developers need?: Quantitative developers require a strong foundation in computer science and a practical understanding of financial markets and quantitative methods.
Quantitative finance applies mathematical models and computational methods to financial markets, driving strategy and risk management at trading firms. It encompasses roles from research to engineering, all focused on data-driven decision-making.
What are the core disciplines within quantitative finance?: The core disciplines within quantitative finance are mathematics, statistics, computer science, and financial economics, integrated to solve complex market problems.
How does quantitative finance differ by firm type?: The application of quantitative finance differs significantly across various types of trading firms, primarily driven by their business models and investment horizons.
Quantitative research in financial trading firms involves developing and testing mathematical models, algorithms, and data-driven strategies to identify trading opportunities and manage risk, moving beyond academic theory to practical, real-time application in fast-paced markets.
What does a quantitative researcher actually do?: A quantitative researcher in a financial trading firm designs, implements, and backtests statistical models and algorithms to identify and exploit market inefficiencies.
How does quantitative research differ from academic research?: Quantitative research in a trading firm is distinct from academic research primarily by its focus on immediate, practical application and profitability, rather than generalisable knowledge or theoretical advancement.
Quantitative trading involves using mathematical models and computational power to execute trading strategies across financial markets. It encompasses strategy development, data analysis, and high-performance execution, with specific roles like Quantitative Researchers, Quantitative Traders, and Quantitative Developers forming the core teams at firms in London, New York, and other major.
What Does Quantitative Trading Involve?: Quantitative trading fundamentally involves the systematic application of models and algorithms to market data for trade execution.
Key Roles in Quantitative Trading: Quantitative trading operations are built on a collaborative structure involving several specialised roles, each critical to the success of a firm's strategies.
What quant developers actually build, how the role differs from researcher and software engineer, the skills firms test, and a step-by-step roadmap in.
Short answer: Quant developers write the code that turns research into trading.
Common types of quant developer work: Research platform: libraries, data access and backtesting tools researchers use every day.
A map of the non-quant roles at hedge funds and trading firms, what each one does, who gets hired, and where to read the pay and live vacancies for each.
Short answer: A hedge fund is a technology business with a trading problem attached.
Which seats are easiest to enter from outside finance: Infrastructure and security are the widest doors, because the bar is technical and objective: can you keep a low-latency system running, or keep an attacker out.
The day-to-day difference between the two most-confused quant seats, how they are interviewed, how they are paid, and how people move between them.
The split in one sentence: Researchers decide what should be true about the market; developers make sure the machine behaves exactly as intended when real money depends on it.
Daily work: A researcher's week is dominated by data preparation, hypothesis testing and arguing about whether a result is real.
The degrees, skills and first jobs that lead into quant research, quant trading and quant development, with what our live vacancy data says employers actually ask for.
There are three different jobs behind one word: "Quant" covers at least three distinct seats, and they hire differently.
What the adverts ask for: Across the live vacancies we track, the requirements cluster tightly.
KnowQuant·Index 2026.1 · Updated September 2026
KnowQuant · Publishes indicative market ranges for information purposes and does not provide financial advice.