Senior Quantitative Researcher – Tax-Aware Portfolio Construction (Boston)

Analytic Recruiting Inc.

Boston (MA)

On-site

USD 110,000 - 150,000

Full time

14 days+
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Job summary

Analytic Recruiting Inc. is seeking a Quantitative Portfolio Construction Engineer in Boston, MA, to enhance investment strategies in a leading global investment firm. The role involves designing algorithms for tax-aware portfolio optimization and developing asset allocation models.

Ideal candidates will have a Master's or Ph.D. in a quantitative field and over 5 years of experience in investment research. Strong programming skills in Python and R are essential. The firm offers a competitive compensation package and the chance to innovate within portfolio construction.

Qualifications

  • 5+ years of quantitative investment research experience in asset management or related environments.
  • Strong expertise in portfolio construction and optimization.
  • Knowledge of tax-loss harvesting or personalized portfolio management is desirable.

Responsibilities

  • Design and enhance algorithms for tax-aware portfolio optimization.
  • Develop models for asset allocation and portfolio rebalancing.
  • Conduct research and communicate findings effectively.

Skills

Portfolio construction
Portfolio optimization
Statistical analysis
Programming in Python
Multi-factor investing
Tax-aware investment strategies

Education

Master's or Ph.D. in a related quantitative discipline

Tools

Python
R
SQL

Job description

A leading global investment management firm specializing in multi-asset investing is seeking a Quantitative Portfolio Construction Engineer to join its Asset Management Quantitative Research team.

This highly visible role focuses on developing tax-aware portfolio construction, optimization, and asset allocation solutions across a broad range of asset classes. The successful candidate will work closely with portfolio managers, researchers, technology teams, and clients to develop scalable investment solutions that enhance after-tax returns and improve portfolio efficiency.

Responsibilities
  • Design and enhance tax-loss harvesting and tax-aware portfolio optimization algorithms.
  • Develop portfolio construction, asset allocation, and rebalancing models for taxable and tax-deferred accounts.
  • Research, develop, and backtest multi-asset investment strategies, including factor, momentum, and value-based approaches.
  • Build statistical, time-series, econometric, and portfolio optimization models to support investment decision-making.
  • Develop quantitative tools and frameworks for investment research, manager evaluation, and portfolio analysis.
  • Conduct original research and communicate findings through presentations, reports, and white papers.
  • Partner with investment, technology, and client-facing teams to implement production-ready investment solutions.
Qualifications
  • Master's or Ph.D. in Finance, Mathematics, Statistics, Economics, Engineering, Operations Research, Computer Science, or a related quantitative discipline.
  • 5+ years of quantitative investment research experience within asset management, wealth management, pension consulting, OCIO, or institutional investment environments.
  • Strong experience in portfolio construction, portfolio optimization, asset allocation, multi-factor investing, and tax-aware investment strategies.
  • Demonstrated expertise in statistical analysis, time-series modeling, and investment strategy backtesting.
  • Strong programming skills in Python, R, SQL, and portfolio optimization tools.
  • Knowledge of tax-loss harvesting, direct indexing, or personalized portfolio management solutions is highly desirable.
  • CFA designation is a plus.
  • Excellent written and verbal communication skills.
Compensation

The firm offers a highly competitive compensation and benefits package along with the opportunity to contribute to innovative portfolio construction and wealth management solutions within a world-class investment organization.

Please send your resume to Jim Geiger, jeg@analyticrecruiting.com

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