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.