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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 Jul 21, 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, and why are they important?

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 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 tools such as Excel or specialized modeling software to build and validate models. Strong analytical skills and knowledge of finance, mathematics, and programming are essential for this role.

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.

Can you do modeling as a part-time job?

Temporary quantitative modeling roles can often be performed part-time, especially if the work involves freelance or project-based tasks. These positions may require proficiency in tools like Excel, Python, or R, and flexible schedules are common depending on project deadlines and client needs.

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 are Temporary Quantitative Modeling jobs?

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.

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

In the field of quantitative modeling, senior roles such as Quantitative Research Directors, Chief Investment Officers, or senior quantitative analysts at hedge funds and investment banks can earn $500,000 or more annually, often including bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and extensive experience in finance and data analysis.

What job makes $1,000,000 a year?

In the field of temporary quantitative modeling, earning $1,000,000 annually is uncommon and typically requires senior-level positions, extensive experience, and high-value projects. Such compensation may be found in senior quantitative roles at hedge funds, investment banks, or financial firms, often involving complex data analysis, advanced programming skills, and significant responsibility.
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Temporary Quantitative Modeling jobs near you
Infographic showing various Temporary Quantitative Modeling job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Asset & Wealth Management, Trading & Market Strategies - Execution Quantitative Researcher, Vice ...

Asset & Wealth Management, Trading & Market Strategies - Execution Quantitative Researcher, Vice ...

Goldman Sachs

New York, NY

Other

Re-posted 10 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks

Job description

Asset & Wealth Management

A career with Goldman Sachs Asset & Wealth Management is an opportunity to help clients across the globe realize their potential, while you discover your own. As part of one of the world's leading asset managers with over $3 trillion in assets under supervision, you can expect to participate in exciting investment opportunities while collaborating with talented colleagues from all asset classes and regions. Working in a culture that values integrity and transparency, you will join a diverse team that is passionate about our craft, our clients, and building sustainable success. Bringing together traditional and alternative investments, Goldman Sachs Asset & Wealth Management provides clients around the world with dedicated partnership and a focus on long-term performance. As a primary investment area within Goldman Sachs, we provide investment and advisory services for pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals.

Central Trading and Market Strategies

The Central Trading and Market Strategies desk is a high-impact team responsible for the trading of Equities, ETF, Futures, and Options portfolios globally for the Quantitative Investment Strategies (QIS) and Fundamental Equities investment funds. We sit at the intersection of technology and investment management, leveraging data-driven insights to optimize trade execution performance.  Given the scale and high volume of our global trading activity, execution quality and market impact are critical to fund performance and to how the funds operate overall. We are seeking a trading quant to join our systematic trading research team. This role focuses on the rigorous analysis of trading performance, supporting our systematic trading processes, and providing research and execution insights to support alpha retention and execution optimization.

Key Responsibilities:

  • Conduct empirical research on trading performance and execution strategies to optimize the performance of various funds and mandates across Equities, Futures, and Options.
  • Enhance and support analytical databases and libraries for Transaction Cost Analysis (TCA). Perform deep-dive venue analysis to evaluate liquidity quality and routing logic.
  • Develop and maintain broker-side scorecards; design and execute A/B tests for new trading ideas and broker algorithms to drive continuous improvement.
  • Monitor global market structure developments and build tools to automate the production of market structure reports for Portfolio Managers and the trading desk.
  • Help build and maintain quantitative tools and libraries used for pre-trade estimation, post-trade evaluation, and market structure research.
  • Support and monitor trading done via the trading systems. 

Desired Skills & Experience:

  • Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Computer Science, Financial Engineering, or Statistics.
  • 3 to 10 years of experience in a quantitative research or trading role, preferably on the buy-side (Asset Management or Hedge Fund) or within a sell-side algorithmic execution team.
  • Excellent Python programming skills and strong understanding of software design and principles.
  • Experience with KDB+/Q or similar databases and tools for analyzing large data sets such as tick data. 
  • Strong familiarity with advanced statistical modeling, machine learning, market dynamics modeling, and optimization techniques. 
  • Familiarity with trading and market microstructure of Equities and at least one  Futures or Options markets. 
  • Good knowledge of various trade execution algorithms (e.g. VWAP/IS/Liquidity Seeking) and Transaction Cost Analysis (TCA).
  • Experience using generative AI and agentic AI tools to automate research workflows, code generation, and analytical tasks.
  • Strong communication skills, with the ability to translate complex quantitative findings into clear, actionable insights for various stakeholders, including Portfolio Managers.

Salary Range 
The expected base salary for this New York, NY, United States-based position is $125000-$250000. 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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