Senior Quantitative Engineer - Asset Manager - New York

This is a remote position.

Our client is seeking a skilled Senior Quantitative Developer to serve as a Technical Lead for their quantitative development team. This individual will drive the design, development, and deployment of quantitative tools, models, and platforms that empower the organization’s trading and investment strategies.

• Lead the end to end design, development, and implementation of quantitative models, libraries, and tools to support trading, portfolio management, and risk management.
• Provide architectural direction for systems ensuring scalability, performance, and maintainability.
• Advocate for best practices in software engineering, including code reviews, testing, and documentation.

• Build and optimize quantitative tools and frameworks using modern programming languages (e.g., Python, C++, Java).
• Collaborate with quants, traders, and portfolio managers to translate financial models and strategies into production-grade applications.
• Implement and enhance algorithms for data processing, analytics, and real-time decision-making.
• Work closely with cross-functional teams, including quant research, data science, and IT, to ensure seamless integration of systems.

• Mentor junior developers, fostering a culture of technical excellence and continuous learning.

• Manage the development lifecycle of critical projects, from requirements gathering through delivery.
• Communicate effectively with stakeholders, ensuring alignment on objectives, priorities, and timelines.

Requirements

• Strong proficiency in programming languages such as Python, C++, or Java.
• Experience with quantitative libraries, APIs, and high-performance computing frameworks.
• Deep understanding of algorithms, data structures, and multi-threaded programming.

• Solid understanding of financial products, risk management, and portfolio construction.
• Familiarity with pricing models, market data, and risk systems.

• Proven experience leading development teams or mentoring developers.
• Ability to work collaboratively with quant researchers, traders, and IT teams.

Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 7+ years of professional experience in quantitative development, with at least 2 years in a leadership role.

Desirable skills:

• Experience with cloud technologies (AWS, Azure) and containerization tools (Docker, Kubernetes).
• Knowledge of machine learning techniques and applications in finance.
• Familiarity with CI/CD pipelines and DevOps practices.

Benefits

• Competitive base salaries, with a yearly bonus potential.
• Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and various leave policies.
• 401(k) plan with company match (up to 4%).
• Company-funded pension plan.
• Wellness programs, including reimbursement for personal well-being needs.
• Work/Life resources to support personal and professional balance.
• Education benefits for professional development.
• Employee stock purchase plans.