Vice President, Quant Optimization Technology

Vice President, Quant Optimization Technology

About the Company

Technology-driven investment management firm

Industry

Financial Services

Type

Privately Held

Founded

1946

Employees

10,001+

Categories

• Financial Services
• Security
• Investment Management
• Asset Management
• B2B
• Consulting & Professional Services
• Marketplace
• Boston
• Brokerage
• Business News
• College Savings
• Etfs
• Finance
• Financial
• Financial News
• Investments
• Ira
• Legal & HR Software
• Mutual Funds
• Online Trading
• Retirement
• Software
• Software Development & Design
• Stock Trading
• 529 College Savings Plan
• Financial Advisors
• Financial Guidance
• Investing Strategies
• Personal Finance
• Wealth Management
• Insurance
• E-Commerce
• Savings & Investing
• Investing
• Financial Advisers
• Investment
• Financial Markets
• Financial Trading
• Risk Analysis
• Testing & Analysis
• Employee Management
• Business Management and Planning

Specialties

Business Classifications

About the Role

The Company is in search of a VP, Quant Optimization Technology to join their Quantitative Research & Investments Technology (QRIT) team. The successful candidate will be responsible for partnering with the quant research and investments teams to design, build, enhance, and support a comprehensive portfolio optimization and back-testing ecosystem. This role requires a combination of hands-on development and leadership, including managing a team of software engineers and quantitative developers. The VP will be a key player in the QRIT leadership team, reporting to the Head of QRIT, and will be expected to bring a strategic and inspirational approach to people leadership. Applicants must have a Bachelor's degree in a computational field, with a Master's degree preferred, and a minimum of 10 years of professional experience in financial services, particularly in asset management. The role demands a proven track record in team management, client engagement, and technical expertise in Python, micro-services, RESTful APIs, AWS cloud environment, CI / CD, and DevOps. Strong experience in system architecture, design patterns, and software engineering fundamentals is essential, as is an advanced understanding of data structures and experience in building and customizing portfolio optimization tools. The ideal candidate will also have a strong ability to capture requirements, influence decisions, and engage with stakeholders at all levels of the organization.

Hiring Manager Title

Head of QRIT

Travel Percent

Less than 10%

Functions