Title: Quantitative Developer Equities (Python Focus)
Location: Jersey City, NJ / Toronto, ON Hybrid 3 days per week
Duration: 6-12+ months
Team: Equities Technology
We are seeking a Quantitative Developer to join our Equities Technology team, responsible for designing and delivering scalable, high-performance quantitative solutions that support trading, analytics, and research functions. This role sits at the intersection of quantitative research, trading, and engineering, translating advanced equity trading models into production-grade applications used by the business.
You will work closely with PhD-level quantitative researchers, traders, and technology stakeholders to implement, optimize, and scale equity trading models in a fast-paced, data-driven environment.
Key Responsibilities
- Partner with quantitative researchers to translate equity trading models into robust, production-ready applications
- Design and build scalable, high-performance systems supporting trading, analytics, and research workflows
- Develop and optimize quantitative models and libraries in Python
- Build and maintain data pipelines for large-scale financial datasets
- Design and implement RESTful APIs and microservices to expose model outputs and analytics
- Collaborate with traders and business stakeholders to gather requirements and deliver technical solutions
- Improve system performance, reliability, and scalability across the equities platform
- Contribute to engineering best practices, including testing, CI/CD, and modern development workflows (including LLM-assisted development)
Required Qualifications
- 10+ years of experience in quantitative development or related field (flexible across levels for strong candidates)
- Strong experience as a Quantitative Developer, specifically working with equity trading models
- Proven ability to convert quantitative models into production applications
- Advanced proficiency in Python (3+ years required, more preferred)
- Strong experience with SQL databases (PostgreSQL, MySQL)
- Experience designing and building RESTful APIs and microservices architectures
- Solid understanding of equities markets, instruments, and trading workflows
- Experience working with PhD-level quants and complex mathematical models
- Strong problem-solving skills and ability to work in fast-paced trading environments
Preferred Qualifications
- Experience with performance optimization and low-latency systems
- Familiarity with distributed systems and cloud platforms
- Exposure to modern development practices, including LLM-assisted coding tools
- Background in financial engineering, mathematics, or related quantitative field
What You ll Bring
- Ability to bridge the gap between quant research and production engineering
- Strong communication skills to work effectively across quants, traders, and engineers
- A mindset focused on scalability, performance, and reliability
- Comfort operating in a high-impact, front-office environment
Additional Context
- Multiple openings (10+) with a strong emphasis on Python-based development
- Core focus: building applications from trading models, not just model research
- Opportunity to influence the evolution of the firm s quantitative platforms and engineering standards
Regards,
Nick Arthur (Nizam)
Associate Director, Recruitment
Pull Skill Technologies Inc.
Direct: +1 551-272-o197
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