Portfolio Construction and Risk Strategist

About the Role

Wellington is seeking a Portfolio Construction & Risk Strategist to work with the Portfolio Architecture team within Global Risk & Performance Strategy. The Strategist will collaborate with GRPS colleagues, portfolio managers, and IT professionals to develop quantitative methodologies for portfolio construction, addressing real-time requests and building scalable portfolio optimization capabilities.

The Portfolio Architecture team works to help investment teams successfully adopt quantitative approaches to portfolio construction and achieve superior risk adjusted return through rigorous, empirically grounded methods. They deliver portfolio construction solutions by managing strategies and by offering investors quantitative portfolio optimization solutions both through self-service software and consultative support. This role will contribute to both channels.

This role aims to provide best-in-class capabilities for portfolio construction. The Strategist is expected to become an expert in quantitative techniques, reading research literature on asset pricing and investing, independently implementing new methodologies, and conducting practical research to enhance portfolio construction for Wellington clients. While this is not a software developer role, a significant fraction of the Strategist’s work will manifest in developing algorithms and infrastructure for portfolio optimization.

The ideal candidate will have strong analytical and organizational skills, thrive in a team environment, quickly learn new analytical applications and investment products, and develop specialized knowledge in quantitative portfolio construction.

• Developing methodologies and workflows for tax efficient trading of active equity ETFs;
• Extending algorithms and GUI functionality for portfolio optimization within GRPS’s Python optimization libraries;
• Participating in the team’s daily portfolio management and rebalancing workflows;
• Developing methodologies for helping portfolio managers align views on expected return with quantitative techniques for position sizing;
• Developing effective scalable approaches to implementing consistent active positions across multiple accounts with differing client guidelines and benchmarks; and
• Implementing portfolio optimization algorithms that encompass flexible approaches to modeling risk and return objectives, practical market frictions (e.g., transactions costs, liquidity limits) and associated workflows within Wellington’s portfolio management software and trading operations.

• Advanced degree (Masters or PhD level) in finance, econometrics, quantitative field (math, statistics, physics, electrical engineering, operations research)
• 5+ years of experience working in asset management or closely related industry
• Understanding of asset pricing and basic portfolio construction paradigms
• Understanding of convex optimization and heuristics for non-convex optimization
• Strong technical background for prototyping and implementing, in code, optimizations and calculations relevant to programming skills (Python, R, SQL)
• Ability to think abstractly about complex mathematical problems, algorithms, and systems design
• Ability to conduct independent research in a collaborative team environment
• Capable of taking responsibility for independent projects with limited supervision
• Grace under pressure, ability to adapt
• Humility, natural curiosity

Not sure you meet 100% of our qualifications? That’s ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.

As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship,…