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Block MB

Quantitative Analyst

On site

London, United kingdom

£ 100,000 /year

Full Time

12-09-2025

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Skills

Python Matlab Data Analysis Data Cleaning Problem-solving Research Attention to detail Machine Learning PyTorch Scikit-Learn TensorFlow Programming C++ Mathematics

Job Specifications

Our client, are a global proprietary trading firm that combines sophisticated technology with deep quantitative research to deploy capital across global financial markets.

Role Overview

As a Quantitative Analyst, you will be at the heart of the trading and research efforts, designing and implementing statistical and mathematical models to identify and capitalise on market inefficiencies. You will work closely with traders, developers, and other quants in a fast-paced, intellectually demanding environment.

Key Responsibilities

Research, develop, and optimise trading models using large and complex datasets
Design and implement statistical, mathematical, and machine learning algorithms for signal generation and risk modeling
Perform backtesting and performance evaluation of strategies across various asset classes (equities, futures, options, FX, crypto, etc.)
Collaborate with technologists and traders to deploy models into production and monitor live trading systems
Contribute to portfolio construction, alpha combination, and execution optimization

Required Qualifications

PhD in Mathematics, Physics, Statistics, Computer Science, Engineering, or related quantitative field
Strong foundation in probability, statistics, stochastic processes, optimization, and/or numerical methods
Proficient programming skills in Python, C++, R, or MATLAB (Python preferred)
Demonstrated experience working with large datasets, data cleaning, and analysis
Familiarity with financial markets and instruments is a plus but not mandatory
Exceptional problem-solving skills and attention to detail
Ability to communicate complex ideas clearly and effectively

Desirable Experience (not required but a plus)

Experience in quantitative finance, algorithmic trading, or financial data analysis
Knowledge of machine learning frameworks and tools (e.g., scikit-learn, TensorFlow, PyTorch)
Exposure to high-frequency data and time-series analysis
Publications in peer-reviewed journals or participation in academic competitions (e.g., Kaggle, Olympiads)

About the Company

Specialised IT-Infrastructure and Security Recruitment company, operating in the Germany, the UK and the US. Know more