Senior Asset Allocation Strategist, Quantitative Analytics

Salary Range: $120,000 USD - $145,000 USD. Compensation will be based on candidate’s experience, skills, qualifications, commercial considerations, and other job‑related factors permitted by law. This role also offers an annual performance bonus (subject to eligibility criteria) and participation in benefits programs including healthcare, retirement, vacation, and wellbeing.

This role is centered on asset allocation strategy, quantitative research, and solution design, with opportunities to contribute to product development and thought leadership.

Design and develop multi-asset investment solutions, primarily focused in the U.S. Wealth channel.

• Build and enhance models supporting asset allocation decisions, including multi‑period portfolio construction.
• Apply techniques such as Monte Carlo simulation and optimization to evaluate investment strategies.
• Translate single‑asset class insights into integrated portfolio solutions.

• Contribute to the design and development of portfolio construction methodologies and tools.
• Partner with technology teams to implement scalable modeling frameworks and advisor‑facing tools.
• Support coding and modeling efforts for client solutions and proposals.

• Conduct research on topics such as tax‑efficient investing, asset location, retirement income, and withdrawal strategies.
• Contribute to written insights that support Russell Investments’ market perspective.
• Participate selectively in client and industry engagements to share research and insights.

• Contribute to strategic asset allocation positioning for multi‑asset portfolios, including development of capital market insights and portfolio positioning.
• Perform analysis to inform investment implementation decisions.

• 4-6 years of experience in a capital markets or investment‑related role.
• Master’s degree in finance, economics, or a quantitative discipline (e.g., mathematics, statistics, operations research).
• Proficiency in quantitative analysis using object‑oriented programming languages (e.g., Python, C++, or C#).
• Understanding of object‑oriented programming and model development.
• Familiarity with optimization techniques and Monte Carlo approaches to asset allocation.
• Solid foundation in capital markets and portfolio theory.
• Ability to analyze complex problems and develop practical, implementable solutions.
• Ability to manage multiple projects and priorities effectively.

• CFA, and/or Ph.D. in finance, economics, or a quantitative discipline.
• Experience in investment solution design, particularly in retirement, accumulation, or tax‑managed investing.
• Familiarity with portfolio construction, factor modeling, risk and return attribution, asset return forecasting, and lifecycle finance.
• Exposure to actuarial concepts and retirement modeling frameworks.
• Strong communication skills, including the ability to present technical concepts to diverse audiences.
• Effective writing skills for research and thought leadership.

Russell Investments is committed to providing equal employment opportunities for all associates and employment applicants regardless of race, religion, ancestry, creed, color, gender (including gender identity, gender expression, etc.), age, national origin, citizenship status, disability, medical condition, military status, veteran status, marital status, sexual orientation, past or present unemployment status, or any other characteristic protected by law.