Manager, Quant - Systematic Trading Platform

Fidelity Financial Services

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Boston, MA
Salary
$80,000–$120,000 / yr
Posted
13 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $194k
This role $100k
$63k most similar roles pay here $242k

This role pays less than 99% of similar roles. Most pay $165,500–$221,612 — the shaded band above. At the midpoint, this role pays about $100k versus about $194k 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 84 open roles on FindRole.

Listed pay typically runs $126,000–$199,592 across 21 roles with salary data.

Most-posted roles

View all roles at Fidelity Financial Services

At a glance

TL;DR · Manager, Quant - Systematic Trading Platform

Role Posting Log in to save

Manager, Quant - Systematic Trading Platform joins the Systematic Trading and Analytics Platform team to provide quantitative expertise for next-generation brokerage products in equity and fixed income markets. This role involves conducting advanced quantitative research, developing predictive models using optimization techniques, and building trading infrastructure. The individual will create custom complex trading algorithms, assess retail execution performance, and collaborate with product and tech teams to deliver systematic trading solutions. Day-to-day tasks include coaching the quant team and consulting with order flow management and desk strategists to help clients navigate market structures and improve trading strategies. Required technical skills include proficiency in Python or KDB/Q. The role requires a master degree in engineering, computer science, or applied mathematics, along with Series 7, 57, and 63 certifications to address complex problems within the capital markets product area.

Skills

Python KDB/Q Quantitative Research Optimization Techniques Trading Algorithms Systematic Trading Fixed Income Order Flow Management

What you'll do

  • Conduct advanced quantitative research for systematic trading and analytics platforms.
  • Develop predictive models and apply optimization techniques to improve trade execution.
  • Build and maintain trading infrastructure for equity and fixed income markets.
  • Create custom complex trading algorithms tailored to specific client needs.
  • Assess the performance of retail execution and existing trading algorithms.
  • Coach the quantitative team to deliver relevant technical solutions.
  • Provide consultation to clients regarding market structure and trading tools.

What we're looking for

  • Master degree in Engineering, Computer Science, Applied Mathematics, or another relevant quantitative discipline.
  • Experience creating systematic trading solutions in collaboration with product and tech teams.
  • Ability to create predictive models and apply optimization techniques to improve execution.
  • Experience assessing the performance of retail execution and trading algorithms.
  • Hands-on experience conducting analysis and developing models for production.
  • Experienced knowledge in Python or KDB/Q.
  • Series 7, 57, and 63 certifications.

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