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Quantitative Strategist Jobs (NOW HIRING)

Triumph

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

You'll have a direct impact on all facets of the business, applying your quantitative rigor ... and strategic decisions. * Design and build machine learning models that directly inform ...

Triumph Arcade, Inc

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

You'll have a direct impact on all facets of the business, applying your quantitative rigor ... and strategic decisions. * Design and build machine learning models that directly inform ...

Corgi Insurance

Quantitative Associate

Chicago, IL · On-site

$200K - $350K/yr

Support the Head of Quantitative Strategy in the management of the Corgi investment portfolio and the development of our investment strategy. * Design experiments and evaluate outcomes using ...

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Quantitative Strategist information

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$45K

$139.9K

$177.5K

How much do quantitative strategist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for quantitative strategist in the United States is $139,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What does a quantitative strategist do?

A quantitative strategist develops mathematical models and algorithms to analyze financial data and inform trading or investment decisions. They use programming skills, statistical techniques, and financial theory to identify market opportunities and manage risk within trading environments.

What is the difference between Quantitative Strategist vs Quantitative Analyst?

AspectQuantitative StrategistQuantitative Analyst
Required CredentialsTypically requires advanced degrees (Master's or PhD) in finance, mathematics, or related fieldsOften requires a bachelor's or master's degree in finance, economics, or mathematics
Work EnvironmentStrategic roles in hedge funds, investment banks, or asset management firms focusing on developing trading strategiesData analysis and modeling in financial institutions, supporting trading and risk management
Employer & Industry UsageCommonly employed in hedge funds, proprietary trading firms, and investment banksWidely used across financial services, including banks, asset managers, and hedge funds

While both roles involve quantitative skills and financial knowledge, Quantitative Strategists focus on developing trading strategies and long-term financial plans, whereas Quantitative Analysts primarily analyze data and build models to support trading and risk decisions.

What is a quantitative strategist?

A Quantitative Strategist, often called a 'quant strategist,' is a finance professional who uses mathematical models, statistical analysis, and computer programming to develop trading strategies and manage financial risk. Their work typically involves analyzing large datasets, building predictive models, and creating algorithms to identify investment opportunities or optimize portfolios. Quantitative Strategists are commonly employed by investment banks, hedge funds, and asset management firms, where their insights help inform trading decisions and enhance financial performance.

How does a quantitative strategist typically collaborate with traders and portfolio managers?

Quantitative Strategists work closely with traders and portfolio managers by developing, backtesting, and implementing trading models and strategies. They translate complex data analysis into actionable insights, often participating in regular meetings to discuss market trends and the performance of existing strategies. Effective communication and a strong understanding of financial markets are essential, as Quantitative Strategists must explain their findings and adapt models in response to real-time feedback from trading teams. This collaborative environment fosters innovation and helps ensure that strategies are both theoretically sound and practically effective.

What are the key skills and qualifications needed to thrive as a quantitative strategist?

To thrive as a Quantitative Strategist, you need strong quantitative analysis, advanced mathematics, and programming skills, typically supported by a degree in a quantitative field such as mathematics, physics, or finance. Proficiency in statistical software, programming languages like Python, R, or C++, and experience with financial modeling platforms are essential. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These capabilities enable a Quantitative Strategist to develop data-driven investment strategies and provide a competitive edge in fast-paced financial markets.
More about Quantitative Strategist jobs
What cities are hiring for Quantitative Strategist jobs? Cities with the most Quantitative Strategist job openings:
What states have the most Quantitative Strategist jobs? States with the most job openings for Quantitative Strategist jobs include:
What job categories do people searching Quantitative Strategist jobs look for? The top searched job categories for Quantitative Strategist jobs are:
Quantitative Strategist jobs near you
Infographic showing various Quantitative Strategist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $139,867 per year, or $67.2 per hour.

Quantitative Analyst, Quantitative Strategies

Millennium Management LLC

New York, NY • On-site

$150K - $200K/yr

Full-time

Re-posted 14 days ago

Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Quantitative Analyst, Quantitative Strategies
Please direct all resume submissions to QuantTalentUS@mlp.com and reference REQ-29449 in the subject.
Job Description
We are seeking a Quantitative Analyst to join a small, collaborative team focused on systematic equity strategies. This role is well suited for someone who enjoys working at the intersection of equity research, alternative data, and quantitative modeling, with a particular focus on sector-specific signals, company-level KPIs, and custom dataset development.
The role offers direct exposure to the SPM and broader investment process, with the opportunity to contribute across idea generation, data work, signal research, model implementation, and backtesting.
Location
New York
Principal Responsibilities
  • Partner closely with the SPM and team on alpha research for systematic equity strategies, with a focus on sector-specific signals and company-level forecasting
  • Identify, collect, organize, and analyze structured and unstructured datasets relevant to company, product, and sector behavior
  • Integrate Agentic AI workflows where they can improve productivity, model development, or operational robustness
  • Develop creative, data-driven ways to track companies, industries, and products beyond traditional financial statement analysis
  • Contribute to the research, implementation, and backtesting of signals using alternative, fundamental, and positioning datasets
  • Apply sound financial intuition and statistical techniques to turn raw data into investable insights
  • Work in a transparent, collaborative environment with visibility into the broader investment process

Preferred Technical Skills
  • Bachelor's, Master's, or PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, Physics, or a related discipline
  • Strong Python skills
  • Experience working with company- and sector-specific KPIs
  • Experience using alternative, fundamental, and positioning datasets
  • Practical experience using LLMs or modern ML tools in analytical, research, or dataset-building workflows is highly desirable
  • Strong analytical, problem-solving, and communication skills

Preferred Experience
  • 1-3 years of experience in data science, data analytics, quantitative research, or a related role
  • Experience at an investment firm, data analytics firm, research provider, or software company is preferred
  • Demonstrated ability to take analytical projects from conception through implementation

Highly Valued Relevant Experience
  • Experience systematizing previously manual or judgment-based processes
  • Experience with sector-specific equity research, particularly in industrials, commodities, healthcare, or financials
  • Experience building custom datasets or KPI frameworks
  • Experience working with messy or incomplete real-world data and converting it into usable research inputs

Target Start Date
  • ASAP, though we will wait 6-9 months for an exceptional candidate

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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