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Spectrum IT Recruitment

Quantitative Analyst

City of London
£80k – £100k/yr
Posted 2 days ago
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An excellent opportunity for a Quantitative Analyst to join a highly talented and technically focused team based in central London.

The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets, developing quantitative models and using statistical techniques to identify trends, patterns and opportunities.

Working closely with analysts, developers and other technical specialists, you will have the opportunity to contribute to the development of analytical models and data-driven solutions within a fast-paced environment.

We are looking for a highly analytical and forward-thinking individual who is comfortable working independently while also collaborating effectively as part of a team.

Key Responsibilities

  • Analyse and interpret large, complex datasets to identify trends and insights.
  • Develop and enhance quantitative, mathematical and statistical models.
  • Apply probability and statistical techniques to real-world problems.
  • Develop, test and validate analytical models and methodologies.
  • Use programming languages to analyse data and develop quantitative solutions.
  • Work closely with developers to implement analytical models and solutions.
  • Back-test models against historical data and assess their performance.
  • Identify opportunities to improve existing models, processes and analytical techniques.
  • Communicate complex analytical findings clearly to technical and non-technical stakeholders.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Skills & Experience

  • PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline.
  • Strong understanding of probability, statistics and mathematical modelling.
  • Experience working with large datasets and performing detailed data analysis.
  • Proficiency in one or more of Python, C#, C++ or Java.
  • Experience within data science, quantitative analysis or statistical modelling.
  • Strong analytical and problem-solving abilities.
  • Excellent attention to detail and numerical accuracy.
  • Strong communication skills and the ability to work effectively within a team.
  • A proactive and inquisitive approach to solving complex problems.

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Desirable

  • Experience developing predictive or statistical models.
  • Knowledge of machine learning or advanced statistical techniques.
  • Experience with time-series analysis, regression or optimisation.
  • Experience working with real-time or high-volume datasets.
  • A genuine interest in data-driven decision making and quantitative analysis.

This is an office-based role in central London, offering a competitive salary and the opportunity to work within an excellent technical environment alongside highly skilled analysts and developers.

If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at OliverWilson@SpectrumIT.co.uk

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

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Skills

Quantitative Analysis
Statistical Modelling
Probability
Python
C#
C++
Java
Data Analysis
Mathematical Modelling
Back-testing
Machine Learning
Time-series Analysis
Regression
Optimisation
Problem Solving
Communication

Location

City of London, England, United Kingdom

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