Quantitative Researcher in Slough

Quantitative Researcher in Slough

Slough Full-Time 100000 - 150000 £ / year (est.) No working from home possible
DURLSTON PARTNERS

At a Glance

  • Tasks: Research and develop trading strategies using advanced mathematics and technology.
  • Company: Leading global quant trading firm with top-tier compensation.
  • Benefits: Competitive salary, discretionary bonuses, and significant earning potential.
  • Other info: Collaborative environment with opportunities for rapid career growth.
  • Why this job: Make a real impact on trading performance with your quantitative skills.
  • Qualifications: Strong background in maths, stats, or computer science; programming skills required.

The predicted salary is between 100000 - 150000 £ per year.

A leading quantitative trading firm is seeking exceptional Quantitative Researchers to join its research team. The firm operates at the intersection of advanced mathematics, technology, and financial markets, deploying systematic strategies across global markets. Researchers work closely with traders and engineers to identify market inefficiencies, develop predictive models, and generate alpha through rigorous, data-driven research.

This opportunity is suited to individuals with a proven track record of solving complex problems and applying quantitative techniques in highly competitive environments.

Responsibilities
  • Research and develop systematic trading strategies
  • Identify and test predictive signals using large datasets
  • Apply statistical, mathematical, and machine learning techniques to generate alpha
  • Design and evaluate quantitative models and research frameworks
  • Collaborate with traders and engineers to deploy research into production
  • Analyse strategy performance and drive continuous improvements
  • Conduct independent research into market behaviour and trading opportunities
Requirements
  • Strong academic background in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative discipline
  • Experience conducting quantitative research within a trading, investment, technology, or highly analytical environment
  • Excellent programming skills in Python, C++, or a similar language
  • Strong understanding of probability, statistics, optimisation, and data analysis
  • Ability to work with large and complex datasets
  • Demonstrated track record of solving challenging quantitative problems
Preferred Backgrounds
  • High-Frequency Trading
  • Statistical Arbitrage
  • Options and Volatility Research
  • Commodities Research
  • Fixed Income Research
  • Machine Learning and Artificial Intelligence
  • Signal Research and Alpha Generation
What We're Looking For
  • Intellectual curiosity and a genuine passion for quantitative problem solving
  • Strong research methodology and attention to detail
  • Evidence of outstanding academic, professional, or competitive achievements
  • Ability to thrive in a fast-paced, highly collaborative environment
  • Desire to work alongside some of the industry's strongest researchers, traders, and engineers

If you're interested in applying quantitative research to real-world markets and seeing your work directly impact trading performance, we'd welcome a confidential conversation.

Quantitative Researcher in Slough employer: DURLSTON PARTNERS

As a leading global quantitative trading firm, we pride ourselves on fostering a dynamic and collaborative work culture that empowers our Quantitative Researchers to excel. Located in the heart of London, we offer top-tier compensation packages, including market-leading salaries and significant bonuses for exceptional performance, alongside ample opportunities for professional growth and development. Join us to work with some of the brightest minds in the industry, where your innovative research can directly influence trading strategies and market outcomes.

DURLSTON PARTNERS

Contact Details:

DURLSTON PARTNERS Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Researcher in Slough

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We think you need these skills to ace Quantitative Researcher in Slough

Quantitative Research
Statistical Techniques
Mathematical Modelling
Machine Learning
Data Analysis
Programming in Python
Programming in C++

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Brush Up on Your Statistics

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Get Comfortable with Python and R

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Prepare for Case Studies

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