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Algorithmic trader- hedge fund

London
Flynn and Chase
Algorithmic trader
Posted: 14 July
Offer description

Direct message the job poster from Flynn and Chase


Over 100 successful senior placements for global investment banks, PE funds, and Trading companies

Role Overview

We are seeking a highly skilled and driven Algorithmic Trader to join our client London-based trading team. The ideal candidate will design, implement, and manage high-performance trading strategies using quantitative methods and advanced programming. This is an opportunity to work in a fast-paced environment with direct PnL responsibility and access to state-of-the-art technology and market data.

Key Responsibilities

* Develop and deploy algorithmic trading strategies across global markets (equities, futures, FX, crypto, or fixed income)
* Perform in-depth statistical research and backtesting to evaluate strategy performance
* Monitor and optimize real-time trading systems and strategies
* Collaborate with quant researchers, developers, and risk teams to refine models and execution
* Ensure compliance with trading regulations and risk controls
* Generate new ideas for alpha generation and strategy diversification

Key Requirements

* 2–5 years of experience in quantitative or algorithmic trading, preferably with a proprietary trading firm, hedge fund, or tier-one bank
* Strong programming skills in Python, C++, or Java
* Proficiency in using data science libraries (NumPy, Pandas, scikit-learn) and backtesting frameworks
* Deep understanding of market microstructure and electronic execution
* Bachelor’s/Master’s/PhD in a quantitative field (e.g. Mathematics, Physics, Computer Science, Engineering)
* Strong grasp of probability, statistics, and linear algebra
* Ability to handle high-pressure, high-frequency environments with precision and accountability

Preferred Experience

* Experience with low-latency systems and infrastructure optimization
* Knowledge of FIX protocol, market data feeds, and exchange APIs
* Exposure to machine learning techniques for prediction and feature engineering
* Previous live trading experience with proven PnL

Compensation

* Base salary + performance bonus (uncapped, PnL-based)
* Equity/share options (where applicable)
* Pension, private healthcare, flexible working arrangements


Seniority level

* Seniority level

Director


Employment type

* Employment type

Full-time


Job function

* Job function

Analyst
* Industries

Investment Management

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