Senior Software Engineer - Optimization Lead

Vanguard Personalized Indexing (VPI) is a rapidly growing business within Financial Advisor Services. We empower advisors to deliver tax-efficient, customized direct indexing portfolios at scale and on demand. Our cutting-edge technology manages thousands of investor accounts and reviews portfolios daily for tax-loss harvesting opportunities. Vanguard is seeking an expert software engineer to build innovative direct indexing capabilities at scale. You will drive the design and development of new features that expand the range of portfolio customizations we offer to advisors. This role is also responsible for improving our existing portfolio management technology, troubleshooting issues, and collaborating with portfolio managers. Your technical leadership will play a crucial role in solving the challenges of managing complex financial portfolios. Join us in shaping the future of personalized indexing!

Responsibilities:

• Collaborate closely with the quantitative methodology research team to design and implement new investment product capabilities.
• Develop and optimize algorithms for implementing investment products using quadratic optimization techniques.
• Lead the design and development of software solutions utilizing modern engineering practices and your investment domain expertise.
• Ensure the scalability, reliability, and security of VPI systems.
• Mentor and guide junior developers, fostering a culture of continuous improvement and innovation.

Qualifications:

• Extensive experience in software development, with a strong background in mathematics and investment knowledge.
• Hands-on experience with the application of optimization algorithms, particularly within the investment domain.
• Strong problem-solving skills and the ability to lead complex projects from concept to deployment.
• Proficiency in modern programming languages, frameworks, and concepts.
• Excellent communication and collaboration skills.
• Minimum of ten years related work experience, with at least seven years of development experience. Prior investment management systems experience required.
• Undergraduate degree or equivalent combination of training and experience. Graduate degree in Financial Engineering or similar preferred.

Experience working with these quantitative finance concepts and technologies preferred:

• Deep understand of theory: Linear Programming, Integer Programming, Mixed-Integer programming, Convex Optimization, Dynamic Programming
• Deep understanding of Risk Models
• Knowledge of rebalancing/back testing/financial data expertise
• Barra OpenOptimizer
• Experience with python and java
• Docker swarm
• In memory caching (Redis)
• Micro services architecture design principles
• Postgres database
• AWS cloud expertise
• Base Pay Range (US) - 127,000 - 243,000

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.