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LEAD QUANTITATIVE DEVELOPER - EFX (FULL REMOTE)
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LEAD QUANTITATIVE DEVELOPER - EFX (FULL REMOTE)

Reverse -
United Kingdom

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Job details

Permanent

Qualifications

Performance tuning
Computer Science
Stakeholder collaboration
Stakeholder liaison
Mentoring junior staff
Microsoft SQL Server
Mathematics
English
Java
Incident response
CI/CD pipelines
Continuous integration
Scrum
Multidisciplinary collaboration
Project leadership
Leadership
GitLab
Communication skills
Analytics

Full job description

For an international company specialized in asset management, financial advice and investment strategies, we are looking for a
LEAD QUANTITATIVE DEVELOPER - eFX
to take ownership of the development and delivery of a high-performance electronic FX trading platform. The person will play a key role in leading a small but growing team of engineers, working closely with product leads, quant analysts, and trading desks.

Key Responsibilities

Lead the full SDLC of the trading platform: planning, coding, testing, deployment.
Facilitate Agile processes (sprint planning, retrospectives, backlog grooming).
Oversee code quality, review PRs, and manage release cycles.
Design and implement core components of the trading engine (execution models, risk controls, etc.).
Building and maintaining low-latency Java-based trading systems.
Extend monitoring and analytics tools (Prometheus, Grafana, Python).
Guide and mentor a diverse team of developers (junior to senior levels).
Collaborate with stakeholders across product, trading, and executive functions.
Support production systems and manage incident response when needed.

Requirements

Education: Degree in Computer Science, Mathematics, or a related field.
Experience: 5+ years in software development and contributing to quantitative strategies.
Proven leadership in driving complex technical projects.
Solid knowledge of software architecture, automated testing, and performance tuning.
Experience with FIX protocol and eFX platforms is mandatory.
Excellent communication in English.

SpecificQuantitative & Technical Skills

Strong grasp of the JVM — JIT Watch is a plus, GC tuning, lock contention, memory models.
Direct experience designing and running OMS / EMS infrastructure in production.
Strategy development, backtesting, and live trading in G10 FX.
Strong statistical modelling background — full-cycle backtesting, forward testing, market simulation.
Deep knowledge of market microstructure, order book mechanics, and signal decay.
Skilled in time-series analysis: PCA, regime-switching models, state-based modelling.
Quantitative alpha research involving Kalman filters, Ornstein-Uhlenbeck processes.
Strategy-level knowledge: momentum, mean reversion, RSI, MA crossovers, Bollinger Bands, MACD, Fibonacci.
VWAP/TWAP execution logic, alpha preservation techniques.
Hidden liquidity detection: iceberg algorithms, volume imbalance, queue position.
Experience building spoofing / manipulation detection models.
Infrastructure knowledge: how to get signals into execution with minimal overhead and zero noise.

Tech Stack

Languages: Java, Python
Infrastructure & CI/CD: GitLab, CI pipelines
Monitoring & Analytics: Prometheus, Grafana
Database: Microsoft SQL Server

What the company offers

Competitive salary.
A collaborative, flat-structure environment with minimal bureaucracy.
Creative freedom and real ownership over the product.
Exposure to high-value trading operations and front-office logic.
Opportunities to scale the platform and grow with the company.
Access to a London-based team with regular sponsored travel.

Work location: UK or Italy (with availability to travel to the HQ in London).

Summary

we consider candidates all over Europe if available to travel to the HQ

Job posted before 7/6/2026. Salary range under review — it will be shared at the first interview
Hybrid
Permanent
United Kingdom

Apply Now

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