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Entry-Level Quantitative Researcher - Job Opportunity at Point72 - Cubist Systematic Strategies

New York, USA
Full-time
Entry-level
Posted: January 27, 2025
On-site
USD 150,000-200,000 per year

Benefits

Comprehensive benefits package with competitive market positioning
Performance-based discretionary bonus potential
Professional development and training opportunities
Access to advanced quantitative research tools and data

Key Responsibilities

Lead quantitative alpha signal research initiatives with direct impact on trading strategies
Analyze and implement insights from cutting-edge academic research
Develop and manage end-to-end research processes from ideation to implementation
Design and build analytical tools to enhance shared research infrastructure
Contribute to portfolio analysis and strategy optimization

Requirements

Education

B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline

Experience

Entry-level

Required Skills

Programming in Python (or comparable language) Working knowledge of SQL Strong analytical and quantitative skills Independent and collaborative work capability Detail-oriented High ethical standards
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Industry Trends

Systematic trading firms are increasingly emphasizing machine learning and alternative data integration into their research processes The quantitative research field is experiencing rapid evolution with the integration of AI and deep learning techniques Market complexity and data availability are driving demand for sophisticated quantitative analysis capabilities

Salary Evaluation

The offered salary range of $150,000-200,000 is highly competitive for entry-level quant roles in NYC, positioning at the upper quartile of the market. Total compensation including bonus could reach $250,000-350,000 for top performers

Role Significance

Typically part of a specialized research team of 5-10 professionals, working within larger systematic trading division
Entry-level position with significant autonomous research responsibilities and direct impact on trading strategies

Key Projects

Development and implementation of novel alpha signals Research framework enhancement and optimization Market anomaly investigation and exploitation Trading strategy backtesting and validation

Success Factors

Strong foundation in statistical analysis and mathematical modeling Ability to bridge theoretical concepts with practical implementation Excellent programming skills with focus on efficiency and scalability Creative approach to problem-solving and hypothesis generation Strong communication skills to present complex findings to stakeholders

Market Demand

Very high demand with strong growth trajectory. Systematic trading firms are aggressively competing for quantitative talent, particularly for entry-level positions with strong academic backgrounds

Important Skills

Critical Skills

Python/Programming: Essential for implementing research ideas and building scalable solutions Statistical Analysis: Core to hypothesis testing and model development Machine Learning: Increasingly important for pattern recognition and signal generation

Beneficial Skills

Cloud Computing: Growing importance for large-scale data processing Deep Learning: Emerging application in complex pattern recognition Market Microstructure: Valuable for understanding trading implementation

Unique Aspects

Access to extensive proprietary data and research infrastructure
Direct exposure to multi-asset systematic trading strategies
Opportunity to work with leading researchers in quantitative finance
Flat organizational structure enabling significant impact from entry-level positions

Career Growth

Typical progression to senior researcher in 3-4 years, potential for portfolio management roles in 5-7 years based on performance

Potential Next Roles

Senior Quantitative Researcher Research Team Lead Portfolio Manager Head of Systematic Strategies

Company Overview

Point72 - Cubist Systematic Strategies

Cubist Systematic Strategies is a premier quantitative trading division of Point72, known for sophisticated systematic trading strategies across multiple asset classes

Top-tier systematic trading firm with strong competitive position in quantitative investment space
Significant presence in major financial centers with New York serving as primary research hub
High-performance environment with emphasis on intellectual rigor, collaboration, and innovation
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