Quantitative Portfolio Analyst, Portfolio Engineering

Fidelity Financial Services

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Boston, MA
Salary
$100,000–$200,000 / yr
Posted
15 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k
This role $150k
$86k $228k
below market most similar roles pay here above market

This role pays less than 61% of similar roles. Most pay $126,950–$214,000 — the blue band above. At the midpoint, this role pays about $150k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About Fidelity Financial Services

Fidelity Investments is one of the largest financial services companies in the world, offering brokerage services, mutual funds, retirement planning, wealth management, and life insurance to individuals and institutions. Industry: Financial Services & Investment Management

Fidelity Financial Services currently has 141 open roles on FindRole.

Listed pay typically runs $107,000–$216,000 across 35 roles with salary data.

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View all roles at Fidelity Financial Services

At a glance

TL;DR · Quantitative Portfolio Analyst, Portfolio Engineering

JOB TITLE: Quantitative Portfolio Analyst, Portfolio Engineering The Quantitative Portfolio Analyst joins the Quantitative Model Management group within the Portfolio Engineering organization. This role focuses on the implementation and evolution of quantitative portfolio management for managed account and non-discretionary model portfolios. You will own the day-to-day portfolio management process, including formulating investment strategies, making trading recommendations, configuring optimization platform inputs, and constructing model portfolios. Key responsibilities include conducting complex quantitative research, leading portfolio oversight processes, and guiding investment architecture for scalable platform enhancements. You will utilize Python, R, SQL, and Git, while leveraging agentic AI tools like GitHub Copilot and Claude Code. The role requires expertise in quantitative portfolio construction, optimization software, and investment management to solve multi-asset-class investment problems involving mutual funds, commingled pools, ETFs, and separately managed accounts.

What you'll do

  • Own the day-to-day portfolio management process including formulating investment strategies and making trading recommendations.
  • Configure optimization platform inputs for desired trades and construct model portfolios.
  • Conduct complex quantitative research projects to improve investment methodology and client outcomes.
  • Lead the development of portfolio oversight processes for millions of portfolios.
  • Communicate performance, risk, positioning, and rebalance metrics to ensure alignment with investment thesis.
  • Guide the investment architecture and design of scalable enhancements to the model management platform.
  • Perform end-user acceptance testing and provide business requirements for systematic processes.
  • Develop hypothetical portfolios and ad-hoc analysis for prospective plan sponsors and financial advisors.

What we're looking for

  • 5+ years of work experience in the investment management industry using applied quantitative finance and technical skills.
  • Graduate degree in Computer Science, Engineering, Mathematics, or Quantitative Finance.
  • CFA or related investment certifications (preferred).
  • Experience with quantitative portfolio construction methods, investment management, and portfolio analysis.
  • Experience working with optimization software, tools, and techniques.
  • Advanced proficiency in programming (Python, R), data access (SQL), and version control (Git).
  • Proficiency in leveraging modern AI-assisted development and research tools like GitHub Copilot or Claude Code.
  • Experience driving the investment platform development lifecycle from requirements through testing and delivery.

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