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Quantitative Developer - Trading Algorithms - Job Opportunity at Millennium Management

London, United Kingdom
Full-time
Senior
Posted: February 12, 2025
On-site
GBP 160,000-250,000 per year

Benefits

Comprehensive benefits package with performance-based bonus structure
Industry-competitive total compensation framework
Professional development opportunities in algorithmic trading

Key Responsibilities

Lead development of greenfield internal algorithmic trading platform with direct P&L impact
Design and implement custom trading algorithms for portfolio optimization
Create advanced simulation frameworks for algorithm evaluation
Partner with quantitative research teams to productionize market models
Develop real-time monitoring and performance analysis systems

Requirements

Education

Bachelor's or Master's degree in CS, Electrical & Electronic Eng, Biochem, applied math or statistics

Experience

10+ years of relevant experience in the trading and finance industry

Required Skills

Domain expertise in cash equities market microstructure Significant hands-on development experience in event-driven systems Proficiency in C++ or high-performance Java Experience with trade and market data Strong leadership and mentoring abilities Excellent quantitative and analytical skills Strong verbal and written communication skills
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Sauge AI Market Intelligence

Industry Trends

Increasing focus on internal liquidity optimization as markets become more fragmented Growing importance of low-latency infrastructure in algorithmic trading Shift towards hybrid quantitative/technological roles in systematic trading Rising demand for custom execution algorithms due to market complexity

Salary Evaluation

The offered compensation is aligned with top-tier systematic trading firms in London, reflecting the senior nature and critical importance of the role. Total compensation including bonus could reach £500,000+ for exceptional candidates.

Role Significance

Likely part of a specialized team of 5-10 developers within the Central Liquidity Strategies group
Senior individual contributor with significant technical leadership responsibilities and direct impact on trading infrastructure

Key Projects

Development of proprietary trading algorithm framework Implementation of real-time performance monitoring systems Creation of market simulation environments Integration of quantitative research models into production systems

Success Factors

Deep understanding of both technical architecture and trading dynamics Ability to optimize code for extreme performance requirements Strong collaboration skills with quant researchers and traders Experience in high-pressure trading environment decision-making

Market Demand

Very high demand with limited talent pool. The combination of deep market microstructure knowledge and advanced development skills is particularly scarce.

Important Skills

Critical Skills

Low-latency system development expertise - Essential for competitive advantage in algorithmic trading Market microstructure knowledge - Critical for optimal execution strategy design High-performance programming - Fundamental for system efficiency

Beneficial Skills

FPGA programming experience Machine learning expertise Multiple asset class knowledge Network optimization experience

Unique Aspects

Rare opportunity to build greenfield trading infrastructure at a top-tier firm
Combination of pure technology role with trading strategy influence
Direct impact on firm's trading efficiency and profitability

Career Growth

2-4 years in role before progression, depending on performance and organizational growth

Potential Next Roles

Head of Trading Technology Chief Technology Officer Quantitative Trading Strategy Head Trading Infrastructure Director

Company Overview

Millennium Management

Millennium Management is a global investment management firm with approximately $50+ billion in assets under management

Top-tier multi-strategy hedge fund known for technology-driven trading approaches
Major presence in London as a key global trading hub
Fast-paced, performance-driven environment with emphasis on technological innovation and quantitative methods
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