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Quantitative Researcher – Experienced - Job Opportunity at G-Research

London, GB
Full-time
Senior
Posted: May 6, 2025
On-site
GBP 150,000 - 300,000 base + significant bonus potential (100-300% of base)

Benefits

Premium healthcare package with comprehensive coverage
Above-market pension contribution at 9%
Exceptional work-life balance with 35 days annual leave
High-end office amenities including dedicated barista service
Flexible dress code promoting comfortable work environment
Comprehensive life insurance coverage
Sustainable commuting support via cycle-to-work scheme
Regular company social events fostering team cohesion

Key Responsibilities

Develop and implement sophisticated quantitative trading strategies
Conduct advanced statistical analysis of global financial markets
Design and execute machine learning models for market prediction
Perform independent research utilizing extensive computational resources
Create innovative solutions beyond conventional methodologies
Test and validate trading hypotheses using real-world data

Requirements

Education

Masters or PhD degree in mathematics, statistics, computer science, physics or engineering

Experience

Experience working in a sophisticated research environment

Required Skills

Strong programming skills in at least one language Advanced statistical analysis Machine learning expertise Self-directed research capabilities Financial markets knowledge
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Sauge AI Market Intelligence

Industry Trends

The quantitative trading sector is experiencing rapid evolution with the integration of advanced AI and machine learning techniques, creating unprecedented demand for sophisticated researchers. High-frequency trading and alternative data analysis are becoming increasingly crucial, driving competition for talent with advanced computational skills. The transition from traditional quant strategies to ML-driven approaches is creating a premium for researchers who can bridge both domains.

Role Significance

Typically part of a specialized research team of 5-10 members, collaborating with infrastructure and trading teams of 20-30 people.
Senior individual contributor role with significant autonomy and direct impact on trading strategy development. The position influences core business outcomes through research innovation.

Key Projects

Development of novel trading algorithms incorporating advanced ML techniques Research into market inefficiencies and alpha generation strategies Creation of sophisticated statistical arbitrage models Implementation of high-frequency trading systems

Success Factors

Deep understanding of both theoretical and practical aspects of quantitative finance Ability to innovate beyond conventional approaches Strong computational thinking and implementation skills Effective collaboration with cross-functional teams Balance of academic rigor with practical trading considerations

Market Demand

Extremely high demand, with increasing competition from both established firms and new market entrants. The role sits at the intersection of finance and advanced technology, making it one of the most sought-after positions in the financial sector.

Important Skills

Critical Skills

Advanced mathematics and statistics expertise for developing novel trading strategies Machine learning proficiency for modern market analysis Programming skills for implementing and testing strategies Research methodology for hypothesis development and testing

Beneficial Skills

Knowledge of market microstructure Experience with high-performance computing Understanding of algorithmic trading systems Familiarity with alternative data sources

Unique Aspects

Access to near unlimited compute power for research
Pure research environment with real-world application
New office location in Soho Place indicating investment in workplace quality
Balance of academic freedom with practical trading outcomes

Career Growth

Typically 3-5 years in role before advancement to leadership positions, contingent on performance and strategy contribution.

Potential Next Roles

Head of Quantitative Research Chief Investment Officer Quantitative Trading Strategy Director Research Team Lead

Company Overview

G-Research

G-Research is a leading quantitative research and technology firm known for substantial investments in computational infrastructure and research capabilities.

Top-tier quantitative trading firm competing with global systematic hedge funds and proprietary trading firms.
Strategic London location positions the role at the heart of European financial markets, with growing presence in Dallas indicating global expansion.
Research-focused environment with academic freedom combined with practical trading applications. Strong emphasis on intellectual rigidity and innovation.
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