1

Temporary Derivative Analyst Jobs (NOW HIRING)

Be Seen First

Temporary position - assignment is up to 6 months * Hybrid Schedule: 8:00 am - 5:30 pm Monday ... Extensive financial modeling and analytical skills * Understanding of financial derivatives (Swaps ...

As a Staff Loads Engineer, you will lead the generation and analysis of structural and aerodynamic ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

next page

Showing results 1-20

Temporary Derivative Analyst information

See salary details

$31K

$73.3K

$130K

How much do temporary derivative analyst jobs pay per year?

As of Jun 8, 2026, the average yearly pay for temporary derivative analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Derivative Analyst vs Derivative Analyst?

AspectTemporary Derivative AnalystDerivative Analyst
CredentialsBachelor's degree in finance, economics, or related field; some roles may require certifications like CFABachelor's degree; professional certifications like CFA are common but not always required
Work EnvironmentContract or temporary positions within financial institutions, trading firms, or investment banksFull-time roles in similar environments, often with more stability
Employer & Industry UsageUsed for short-term projects or staffing needs in derivatives trading and risk managementStandard role in financial services, focusing on derivatives analysis and risk assessment

The main difference between a Temporary Derivative Analyst and a Derivative Analyst lies in employment duration and stability. Temporary roles are project-based or short-term, often with contract work, while Derivative Analysts typically hold permanent positions. Both roles require similar skills and qualifications, but the temporary position offers flexibility and short-term engagement, whereas the full-time role provides ongoing responsibilities within the financial industry.

What are some typical challenges faced by Temporary Derivative Analysts, and how can they be addressed?

Temporary Derivative Analysts often encounter challenges such as quickly adapting to new systems, learning firm-specific processes for risk assessment, and managing tight deadlines during reporting cycles. Since the role is contract-based, rapidly building rapport with permanent team members is crucial for effective collaboration. Proactively seeking clarifications, leveraging available training resources, and maintaining clear communication with supervisors can help overcome these challenges and ensure a successful assignment.

What are the key skills and qualifications needed to thrive as a Temporary Derivative Analyst, and why are they important?

To thrive as a Temporary Derivative Analyst, you generally need strong quantitative and analytical skills, a degree in finance, mathematics, or a related field, and familiarity with financial markets. Proficiency in Excel, risk management software, and platforms like Bloomberg or Reuters, along with knowledge of relevant regulatory frameworks, is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and collaborating with team members. These skills and qualities are vital for ensuring accurate analysis, risk mitigation, and informed decision-making in the fast-paced derivatives market.

What are Temporary Derivative Analysts?

Temporary Derivative Analysts are financial professionals hired on a short-term basis to support teams in analyzing, pricing, and managing financial derivatives such as options, futures, and swaps. They assist with tasks like data analysis, risk assessment, and reporting, often during peak periods or to cover permanent staff absences. Despite the temporary nature of the position, they play a crucial role in ensuring that derivative transactions are accurately evaluated and managed according to regulatory and organizational standards.
More about Temporary Derivative Analyst jobs
What cities are hiring for Temporary Derivative Analyst jobs? Cities with the most Temporary Derivative Analyst job openings:
What are the most commonly searched types of Derivative Analyst jobs? The most popular types of Derivative Analyst jobs are:
What states have the most Temporary Derivative Analyst jobs? States with the most job openings for Temporary Derivative Analyst jobs include:
What job categories do people searching Temporary Derivative Analyst jobs look for? The top searched job categories for Temporary Derivative Analyst jobs are:
Risk Engineering, Vice President, Market Risk Strats, New York

Risk Engineering, Vice President, Market Risk Strats, New York

Goldman Sachs

New York, NY

Other

Posted 4 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks


Job description

In Risk Strats, we are a team of quantitative experts responsible for driving timely and efficient risk management across the firm's market, credit, liquidity, and capital exposures. We design and deliver quantitative models, metrics, tools, and analyses essential to the firm's financial control and reporting functions. 
The team is responsible for designing, implementing and maintaining quantitative measures of risk such as Value at Risk, Exposure Modelling, Stress Testing, as well as metrics used to determine the firm's capital requirements, along with tools and systems that streamline and bring efficiency to the review and explanation of these metrics by leveraging Large Language Models (LLMs).

Whether assessing the creditworthiness of the firm's counterparties, monitoring market, credit, and liquidity risks associated with trading activities, or offering analytical and regulatory compliance support, our work contributes directly to the firm's success. The division is ideal for collaborative individuals who have strong ethics and attention to detail.

FUNCTIONALITY DESCRIPTION
  • Developing risk models, generating risk metrics and sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, stochastic calculus, machine learning
  • Performing detailed analysis on risk trends and drivers and communicating insights to internal and external stakeholders, harnessing the latest advancements in Large Language Models (LLMs) to deliver timely, efficient, and high-quality analysis, review, and explanation.
  • Strong commercial mindset, with a proven ability to deliver pragmatic, working solutions quickly and iterate based on stakeholder feedback and changing priorities.
  • Updating and maintaining risk models along with business growth and risk environment changes
  • Developing and maintaining large scale risk infrastructures/systems using strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python, Scala)
  • Experience in designing highly scalable, efficient and robust systems
  • Effectively communicating results and outputs from the model and insights from analysis
QUALIFICATIONS
  • Post graduate degree /bachelor's degree in mathematics, Physics, Electrical Engineering or related technical discipline
  • Passion for financial markets with strong familiarity across asset classes (equities, rates, credit, derivatives) and how they drive risk and capital.
  • Quantitative engineering mindset - blends financial intuition with rigorous methods to build robust, production-ready analytics.
  • Hands-on experience building LLM agents over financial data (RAG, tool-use, agentic workflows) to automate analysis and explanation.
  • Commercial mindset - applies software and LLMs to solve real financial problems, optimizing for impact over technology.
  • Strong analytical and problem-solving skills using math, statistics, and programming
  • Demonstrated ability to learn new technologies and apply
  • Excellent communication skills including experience speaking to technical and business audiences and working globally
  • Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)

Salary Range 
The expected base salary for this New York, New York, United States-based position is $130000-$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.


What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Goldman Sachs logo

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