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Head of Prediction Platform - Job Opportunity at Capital Fund Management

Paris, France
Full-time
Executive
Posted: March 22, 2025
On-site
EUR 180,000 - 250,000 per year plus performance bonuses, based on Paris market rates for senior technical leadership roles in quantitative finance

Benefits

High-performance computing environment
Professional development opportunities
Collaborative research environment
Innovation-focused culture
Global exposure

Key Responsibilities

Strategic leadership of prediction platform development and optimization
Infrastructure management for high-stakes quantitative trading systems
Team leadership and technical direction setting
Cross-functional collaboration with research and technology teams
Platform architecture and performance optimization
Developer workflow optimization and automation

Requirements

Education

Bachelor's or Master's degree in computer science, software engineering, or related field

Experience

Minimum of 10 years of experience in HPC engineering, with at least 5 years in a hands-on leadership role

Required Skills

HPC engineering Cloud technologies (AWS S3, Batch, Sagemaker, CloudWatch) Containerization (Docker) Python Platform Engineering CI/CD pipelines Infrastructure-as-Code Leadership and team management Project management Problem-solving Communication skills
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Sauge AI Market Intelligence

Industry Trends

Quantitative trading firms are increasingly moving towards cloud-based infrastructure for flexibility and scalability Growing emphasis on platform engineering and developer experience in financial technology Rising demand for hybrid cloud solutions in high-frequency trading environments Increased focus on reproducibility and automation in quantitative research platforms

Role Significance

Likely managing a team of 5-15 platform engineers, with indirect influence over broader technology and research teams
Executive-level technical leadership position with direct impact on trading system performance and research capabilities

Key Projects

Cloud migration and hybrid infrastructure optimization Developer productivity platform implementation High-performance computing infrastructure scaling Research and production environment integration

Success Factors

Deep understanding of both technical infrastructure and quantitative research workflows Ability to balance innovation with stability in a high-stakes trading environment Strong leadership skills with focus on team enablement and platform adoption Strategic vision for evolving platform capabilities while maintaining performance

Market Demand

Very high demand, particularly in quantitative finance hubs like Paris, London, and New York, with limited talent pool meeting both technical and financial domain expertise requirements

Important Skills

Critical Skills

Cloud architecture expertise particularly in AWS HPC optimization and management Platform engineering and developer experience Leadership and stakeholder management

Beneficial Skills

Financial markets knowledge Quantitative research understanding Regulatory compliance experience Performance optimization expertise

Unique Aspects

Combination of high-performance computing and financial markets expertise required
Focus on scientific computing in a commercial trading context
Emphasis on reproducibility and automation in research workflows

Career Growth

Typically 3-5 years in role before progression to broader technology leadership positions

Potential Next Roles

Chief Technology Officer Head of Technology Chief Architecture Officer

Company Overview

Capital Fund Management

Capital Fund Management is a well-established quantitative investment firm with over 30 years of experience in systematic trading

Leading global quantitative asset management firm known for scientific approach to financial markets
Significant presence in European financial markets with global operations
Research-driven environment with strong emphasis on innovation and scientific rigor
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Data Sources & Analysis Information

Job Listings Data

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Sauge AI Market Intelligence

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  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.