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.







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