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Quantitative Trading Portfolio Manager Jobs (NOW HIRING)

Permanent Quantitative Trader/Portfolio Manager - HFT Futures - New York/Chicago/Amsterdam/London My client is a renowned prop firm operating in the HFT and intraday space, with teams covering ...

Collaborate with portfolio managers, traders, brokers, technologists, and third-party providers to ... Strong quantitative and analytical skillset with expertise in financial statistics, modeling ...

Trading, Portfolio Support, Chicago, IL We are seeking a motivated team player with technical ... Step in and manage the trading system when limited staffing requires it. * Deal with trading ...

Quantitative Trading Analyst

Chicago, IL · On-site

$100K - $150K/yr

Quantitative Trading Analyst Department: Trading Employment Type: Full Time Location: Chicago, IL ... management of our portfolio and towards driving our pricing, micro-structure strategy, and other ...

Commodities Traders/Portfolio Managers lead the development and execution of trading strategies and ... Excellent analytical and quantitative skills, with strong attention to detail * Strong written and ...

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Quantitative Trading Portfolio Manager information

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$37K

$100.5K

$187.5K

How much do quantitative trading portfolio manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for quantitative trading portfolio manager in the United States is $100,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What does a quantitative trading portfolio manager do?

A Quantitative Trading Portfolio Manager is responsible for designing, implementing, and managing trading strategies that rely heavily on quantitative analysis and mathematical models. They use statistical techniques and large data sets to identify trading opportunities, manage risk, and optimize portfolio performance. Their role often involves programming, research, and collaborating with other quantitative analysts and traders to ensure strategies remain robust and profitable in changing market conditions.

What are the key skills and qualifications needed to thrive as a quantitative trading portfolio manager?

To thrive as a Quantitative Trading Portfolio Manager, you need strong quantitative analysis skills, deep financial markets knowledge, and an advanced degree in fields like mathematics, statistics, or finance. Expertise in programming languages (such as Python, R, or C++), experience with trading platforms, and familiarity with data analysis tools are typically required. Exceptional problem-solving, critical thinking, and communication skills set top performers apart in this role. These competencies are crucial for developing profitable trading strategies, managing portfolio risk, and effectively collaborating with teams in a fast-paced, data-driven environment.

How does a quantitative trading portfolio manager typically collaborate with research and technology teams to optimize trading strategies?

As a Quantitative Trading Portfolio Manager, collaboration with research and technology teams is essential for developing and refining trading strategies. You’ll work closely with quantitative researchers to analyze data, test hypotheses, and implement new models, while partnering with technologists to ensure strategies are efficiently coded and robustly executed. This cross-functional teamwork helps identify new alpha opportunities, optimize trading infrastructure, and quickly adapt to changing market conditions. Regular communication and feedback loops between these teams are key to maintaining a competitive edge and ensuring portfolio performance.

What is the difference between Quantitative Trading Portfolio Manager vs Quantitative Analyst?

AspectQuantitative Trading Portfolio ManagerQuantitative Analyst
Primary RoleOversees trading strategies, manages portfolios, and makes investment decisions based on quantitative models.Develops and tests quantitative models, analyzes data, and supports trading strategies.
Required CredentialsOften requires advanced degrees (Master's or PhD) in finance, mathematics, or related fields; certifications like CFA are common.Typically holds degrees in mathematics, statistics, or finance; certifications like CFA or CQF are beneficial.
Work EnvironmentWorks in trading firms, hedge funds, or asset management companies, often under high-pressure conditions.Works in research labs, financial institutions, or hedge funds, focusing on model development and analysis.

While both roles require strong quantitative skills and similar educational backgrounds, the Quantitative Trading Portfolio Manager focuses on managing investment portfolios and executing trading strategies, whereas the Quantitative Analyst primarily develops models and analyzes data to support trading decisions.

What are popular job titles related to Quantitative Trading Portfolio Manager jobs?

For Quantitative Trading Portfolio Manager jobs, the most frequently searched job titles are:

Infographic showing various Quantitative Trading Portfolio Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $100,458 per year, or $48.3 per hour.

Asset Management - Investment Platform Trading Analytics & Strategy (GFICC) - Executive Director

Manhattan, NY • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

Other

Re-posted 21 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz


Job description

The Trading Research team delivers quantitative analysis across equites, fixed income, credit, currencies, and commodities to drive execution excellence and systematic trading innovation. Our work spans transaction cost analysis (TCA), execution optimization, and automation of trading workflows — all underpinned by a global analytics platform shared across teams in New York, London, Hong Kong, and Mumbai. We partner closely with trading desks to translate quantitative insight into tangible improvements in execution quality and operational efficiency.

Job summary

As an Investment Platform Quantitative Researcher Executive Director on the Asset Management Investment Platform Trading Research team Executive Director on the Asset Management Investment Platform you will take a leading role in shaping and executing strategy and automation across GFICC asset classes. You will lead cross functional projects for our investment platform and provide execution consultancy to our clients.

Job responsibilities
  • Execution Optimization & Automation Work directly with traders to automate workflows, reduce manual intervention, and improve the speed and consistency of execution — with a particular focus on liquidity-constrained or bespoke instruments such as credit and securitized products.
  • Quantitative Trading Research Lead research into market microstructure, price formation, and liquidity dynamics across rates, credit, FX, and commodities. Identify actionable signals and develop statistical frameworks to optimize execution timing, venue selection, and order routing.
  • Execution Consultancy Act as a subject matter expert for traders and portfolio managers, providing data-driven recommendations on execution strategy. Advise on optimal approaches to balancing market impact and transaction costs across varying liquidity regimes and instrument types.
  • Trade Analytics & Reporting Build and maintain dashboards, TCA frameworks, and execution quality tools that provide transparency into trading performance, market impact, and slippage. Develop both scheduled and bespoke reporting to support desk leadership and portfolio management.
  • Cross-functional Leadership Coordinate across trading, portfolio management, and technology teams to deliver end-to-end analytics solutions. Define requirements, manage delivery timelines, and ensure outputs are practical and embedded in day-to-day trading workflows.
Required qualifications, skills and capabilities
  • Python Proficiency: Strong hands-on experience with Python for quantitative research, including data manipulation (pandas, NumPy), visualization (matplotlib, seaborn), and performance-oriented coding practices.
  • Market Data & Databases: Demonstrated ability to work with tick-level and transactional market data using high-performance query tools and financial databases.
  • GFICC Market Knowledge: Solid understanding of fixed income and FX market microstructure, execution dynamics, liquidity provisioning, and the mechanics of electronic and voice trading.
  • Execution & Algorithms: Practical knowledge of algorithmic execution, smart order routing, and the quantitative drivers of transaction costs in fixed income or currency markets.
  • Stakeholder Communication: Proven ability to translate complex quantitative outputs into clear, actionable recommendations for non-technical audiences including traders and senior business stakeholders.
  • Collaborative Development: Experience working in team-based development environments using version control systems (Git) and structured code review processes.
  • Applied Machine Learning: Familiarity with ML techniques relevant to trading research, including supervised/unsupervised learning, reinforcement learning, or NLP applied to financial data.
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