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Temporary Quantitative Modeling Jobs (NOW HIRING)

AllSTEM Connections

Business Analyst III

Oakland, CA · On-site

$114K/yr

... and quantitative modeling, looking to apply their skills within a fast-paced, enterprise ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

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Temporary Quantitative Modeling information

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$56.5K

$133.9K

$240K

How much do temporary quantitative modeling jobs pay per year?

As of Aug 11, 2026, the average yearly pay for temporary quantitative modeling in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a temporary quantitative modeling professional?

To thrive as a Temporary Quantitative Modeling professional, you need strong quantitative analysis skills, a background in mathematics or statistics, and experience with financial or data modeling. Proficiency in technical tools such as Python, R, MATLAB, Excel, and familiarity with statistical or financial modeling software is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These skills ensure accurate model development, clear reporting of results, and the ability to adapt quickly to project-based work.

What are some common challenges faced in a temporary quantitative modeling position, and how can I prepare for them?

In a temporary quantitative modeling role, you may encounter challenges such as quickly acclimating to new data systems, adapting to varying modeling methodologies, and meeting tight project deadlines. Since you may join ongoing projects, being able to rapidly understand existing models and communicate your findings to both technical and non-technical stakeholders is crucial. Preparing by brushing up on relevant programming languages (like Python or R), familiarizing yourself with common financial or statistical modeling platforms, and practicing concise reporting will help you hit the ground running and succeed in a fast-paced environment.

What is the difference between Temporary Quantitative Modeling vs Quantitative Analyst?

AspectTemporary Quantitative ModelingQuantitative Analyst
CredentialsBachelor's or Master's in Finance, Math, or related fieldsBachelor's or Master's in Finance, Math, or related fields
Work EnvironmentProject-based, short-term assignments, often within financial firmsFull-time, ongoing roles within investment banks, hedge funds, or asset management
Employer & Industry UsageUsed by consulting firms, financial institutions for specific projectsEmployed directly by financial firms for continuous analysis and strategy development

Temporary Quantitative Modeling involves short-term, project-based work focused on developing models for specific financial tasks. Quantitative Analysts typically hold ongoing roles, providing continuous analysis and strategy support within financial institutions. Both roles require similar educational backgrounds but differ mainly in duration and scope of employment.

What is a temporary quantitative modeling job?

Temporary Quantitative Modeling jobs are short-term positions where professionals use statistical, mathematical, or computational techniques to analyze data and create predictive models, often to support business decisions or research projects. These roles are typically project-based or fill-in assignments, and can be found in industries like finance, healthcare, technology, and consulting. People in these jobs may work on tasks such as risk assessment, algorithm development, or data-driven forecasting. Temporary roles are ideal for those seeking flexibility or experience in the field without long-term commitment. Candidates usually need strong analytical skills and proficiency in programming languages such as Python, R, or MATLAB.
More about Temporary Quantitative Modeling jobs
What cities are hiring for Temporary Quantitative Modeling jobs? Cities with the most Temporary Quantitative Modeling job openings:
What are the most commonly searched types of Quantitative Modeling jobs? The most popular types of Quantitative Modeling jobs are:
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What job categories do people searching Temporary Quantitative Modeling jobs look for? The top searched job categories for Temporary Quantitative Modeling jobs are:
Temporary Quantitative Modeling jobs near you
Infographic showing various Temporary Quantitative Modeling job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

GBM Public - CRB FICC Quant Researcher - New York - GBM Public

Goldman Sachs

New York, NY • On-site

Full-time, Part-time

Re-posted 26 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 rated banks

Job description

FICC Quantitative Researcher, Associate / VP, New York

We are a team of FICC Quantitative Researchers who work to transform the Fixed Income, Currencies, and Commodities (FICC) business through quantitative trading, automating the key decisions taken every day. Our team has a wide remit across product types such as Interest Rates (IR), Foreign Exchange (FX), Credit, and Commodities, with strategies including market making, automatic quoting, central risk books, systematic trading, and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models, including advanced machine learning and AI, to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the firm.

Role Responsibilities:

  • Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across FICC products.
  • Use advanced statistical analysis and quantitative techniques such as neural networks, machine learning, and factor models to build models that drive systematic alpha strategies which make real-time trading and risk management decisions.
  • Implement frameworks to manage risk centrally and build optimal portfolios across FICC asset classes.
  • Build model calibration frameworks for our advanced statistical and AI models, operating at scale with large quantities of time series data, ensuring accuracy and compliance.
  • Drive our market making strategy development using a range of technologies, and collaborate closely with Quant Developers and core engineering teams to enhance core analytics infrastructure and trading tools.
  • Develop and enhance critical pricing, trading, and risk tools, and create new frameworks leveraging trade and franchise data to optimize and systematize market making and hedging strategies.

Basic Qualifications:

  • Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science.
  • Strong programming skills in an object-oriented or functional paradigm such as C++, Java, or Python.
  • Self-starter with strong self-management skills, ability to manage multiple priorities and deliver in a high-pressure environment.

Excellent written and verbal communication skills, with the ability to articulate complex quantitative concepts to both technical and non-technical 

 
ABOUT GOLDMAN SACHS
 
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.  
 
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.  
 
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

Salary Range 
The expected base salary for this New York, New York, United States-based position is $150000-$300000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits 
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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