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Quantitative Modeling Jobs (NOW HIRING)

Compeer Financial

Quantitative Analyst

Bloomington, IL · On-site

Hybrid model - up to 50% work from home * Flexible schedules including ample flexibility in the ... Uses quantitative methods to research modeling methodology for the development, refinement and ...

Compeer Financial

Quantitative Analyst

Bloomington, IL · Hybrid

Hybrid model - up to 50% work from home * Flexible schedules including ample flexibility in the ... Uses quantitative methods to research modeling methodology for the development, refinement and ...

Keybank

Quant Analytics Assoc - Model Risk

Cleveland, OH · Hybrid

$68K - $103K/yr

Bachelor's degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines * One year of relevant analytics or modeling ...

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$169.7K

$259.5K

How much do quantitative modeling jobs pay per year?

As of Jun 21, 2026, the average yearly pay for quantitative modeling in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a quantitative modeler?

A quantitative modeler is a professional who develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making in finance or related fields. They often use programming languages like Python or R and have strong skills in mathematics, statistics, and data analysis. This role typically requires a background in finance, mathematics, or engineering and familiarity with modeling tools and software.

What jobs pay 500,000 a year in the US?

In quantitative modeling, senior roles such as quantitative analysts, quantitative traders, and hedge fund managers can earn $500,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial markets or risk management.

What are typical daily tasks and projects for someone in a Quantitative Modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What is a Quantitative Modeling job?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What job makes $10,000 a month without a degree?

In quantitative modeling, high-paying roles such as quantitative trader or algorithmic trader can earn $10,000 or more monthly without a formal degree, often relying on strong analytical skills, programming knowledge, and experience with financial markets. Success in these roles depends on demonstrated expertise, risk management, and the ability to develop profitable models, rather than formal education alone.

What jobs make $1,000,000 a year?

In quantitative modeling, high-earning roles such as senior quantitative analysts, hedge fund managers, and chief investment officers can earn $1,000,000 or more annually, often through a combination of base salary, bonuses, and profit sharing. These positions typically require advanced degrees, strong analytical skills, and experience in finance, risk management, or data science.

What are the key skills and qualifications needed to thrive in the Quantitative Modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

More about Quantitative Modeling jobs
What cities are hiring for Quantitative Modeling jobs? Cities with the most Quantitative Modeling job openings:
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Quantitative Modeling jobs near you
Infographic showing various Quantitative Modeling job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Analyst, Quantitative Strategies

Millennium Management LLC

New York, NY • On-site

$150K - $200K/yr

Full-time

Posted 26 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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