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Quantitative Analyst Jobs

Experts who apply mathematical and statistical techniques to financial data. A role that combines deep analytical skills with a keen understanding of financial markets.

Open roles
3
Salary range
£80k – £90k
Hiring companies
3
View 3 live roles → Get an alert

Quantitative Analysts, or Quants, are the financial wizards of the data science world. They use advanced mathematical and statistical methods to analyse financial data, develop predictive models, and inform trading strategies. Quants work in a variety of settings, from investment banks and hedge funds to fintech startups and research institutions. Their role is crucial in understanding market trends, managing risk, and optimising investment decisions.

What the role does

Inside the role of a Quantitative Analyst

A typical week for a Quantitative Analyst is a mix of data analysis, model development, and collaboration with traders and other stakeholders.

  1. 01
    Analyse large datasets to identify patterns and trends.
  2. 02
    Develop and test predictive models for financial instruments.
  3. 03
    Collaborate with traders to refine trading strategies.
  4. 04
    Present findings and recommendations to senior management.
  5. 05
    Stay updated with the latest financial news and market developments.
  6. 06
    Optimise and validate existing models to improve accuracy.
Salary on the board

£80k – £90k

Based on advertised midpoints across the 3 priced listings posted in the last 12 months. Base salary only.

Salary visibility
1% of listings advertise a salary — up from 0% the year before.
Skills & tools

What hiring managers ask for

% of 3 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
100%
SQL
67%
Power BI
67%
Databricks
67%
Catastrophe Modelling
67%
Risk Analytics
67%
APIs
67%
C++
33%
R
33%
Machine Learning
33%
Time-Series Analysis
33%
Stochastic Calculus
33%
Career ladder

From Junior to Principal

A typical UK progression for quantitative analysts. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior Quantitative Analyst

    0–2 yrs

    Assist in data collection and basic analysis, and support senior quants in model development.

  2. Level 2

    Quantitative Analyst

    2–5 yrs

    Take ownership of specific projects, develop and validate models, and contribute to trading strategies.

  3. Level 3

    Senior Quantitative Analyst

    5–8 yrs

    Lead complex projects, mentor junior quants, and provide strategic insights to senior management.

  4. Level 4

    Principal Quantitative Analyst

    8+ yrs

    Oversee the entire quantitative research team, drive innovation, and influence company-wide financial strategies.

Pathway

How to become a Quantitative Analyst

There's no single route, but most people follow some version of these steps.

  1. 1

    Academic Foundation

    Gain a strong foundation in mathematics, statistics, and finance through a relevant degree.

  2. 2

    Internship or Entry-Level Role

    Secure an internship or entry-level position to gain practical experience in financial data analysis.

  3. 3

    Specialise in Quantitative Techniques

    Develop expertise in quantitative methods, such as statistical modelling and machine learning algorithms.

  4. 4

    Build a Portfolio

    Create a portfolio of projects that demonstrate your ability to solve complex financial problems.

  5. 5

    Network and Collaborate

    Build a professional network and collaborate with industry experts to stay updated with the latest trends.

  6. 6

    Advance to Leadership

    Progress to senior and leadership roles, where you can influence financial strategies and mentor junior quants.

Live jobs

3 live roles

Quantitative Analyst

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client's team based in central London. The successful Quantitative Analyst will join a very talented team and will be expected to interpret, filter, and analyse...

Spectrum IT Recruitment City of London, United Kingdom

Commodity Quantitative Analyst

Develop and optimize quantitative models for commodity trading, focusing on energy markets, using advanced statistical and machine learning techniques. Source and analyze alternative data such as satellite imagery and shipping telemetry to generate alpha, while collaborating on risk frameworks and improving a proprietary research platform.

We Love Alfa Victoria, Greater London, London, SW1P 1BX, United Kingdom £250,000 – £500,000 pa
Hybrid Permanent

Exposure / Quantitative Data Analyst

Develop and maintain automated data pipelines and analytical tools to monitor and manage natural catastrophe exposure across an insurance portfolio. Work with geospatial data, catastrophe models, and AI-driven solutions to deliver insights to underwriting and actuarial teams. Build dashboards in Power BI and Databricks, and translate technical outputs into strategic reports for capital and risk management.

Insight Select Ec2M7Py, United Kingdom £80,000 – £90,000 pa
On-site Permanent
Hiring locations

Where this role is hiring

The locations with the most live listings for this role today.

London

Location
2 open
FAQs

Common questions

  • A degree in mathematics, statistics, finance, or a related field is essential. Advanced degrees and relevant certifications can also be beneficial.

  • Key skills include strong mathematical and statistical knowledge, programming proficiency (e.g., Python, R), and an understanding of financial markets.

  • Quants typically work in fast-paced environments such as investment banks, hedge funds, and fintech companies, often collaborating closely with traders and other financial professionals.

  • Salaries for Quantitative Analysts can vary widely based on experience and location. For more detailed salary information, please refer to the salary section on this page.

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