2

Remote Derivative Analyst Jobs (NOW HIRING)

... Effective mastery of derivative pricing and risk engines to manage and debug systems and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Effective mastery of derivative pricing and risk engines to manage and debug systems and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Perform quantitative analysis on large scale derivatives portfolio * Advance new hedging strategies ... However, we are open to considering full remote candidates outside of these areas. #LI-SB1#LI-SAFG ...

Effective mastery of derivative pricing and risk engines to manage and debug systems and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Experience with futures markets, derivatives, or retail brokerage environments * Familiarity with ... Remote-first environment with startup speed and ownership mentality

Quantitative Analyst (Quant)

New York, NY · Remote

$145K - $185K/yr

... Remote | New York, NY, United States Quantitative Analyst (Quant) - Initio Capital Location: New ... equities, derivatives, and fixed income. * Experience with data analysis tools such as Pandas ...

Business analyst About the Role Our investment banking client is seeking a highly skilled Senior ... derivatives trading applications. Preferred Qualifications * Experience within a global asset ...

next page

Showing results 1-20

Remote Derivative Analyst information

See salary details

$31K

$73.3K

$130K

How much do remote derivative analyst jobs pay per year?

As of Jun 2, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Derivative Analyst, and why are they important?

To thrive as a Remote Derivative Analyst, you need strong quantitative analysis skills, a solid understanding of financial markets and derivatives, and typically a degree in finance, mathematics, or a related field. Proficiency with financial modeling tools, programming languages like Python or R, and systems such as Bloomberg Terminal is commonly required. Analytical thinking, attention to detail, and effective remote communication are vital soft skills for excelling in this position. These skills and qualities are crucial for accurately assessing risk, making informed decisions, and collaborating efficiently in a remote, fast-paced financial environment.

What are some common challenges faced by Remote Derivative Analysts, and how can they be effectively managed?

Remote Derivative Analysts often encounter challenges such as coordinating across different time zones, maintaining clear communication with trading teams, and staying updated on rapid market changes. To manage these challenges, it is important to leverage collaboration tools, establish regular check-ins, and set clear expectations with colleagues. Additionally, staying organized and proactive in monitoring market data helps ensure timely analysis and supports effective decision-making, even while working remotely.

What is a Remote Derivative Analyst?

A Remote Derivative Analyst is a finance professional who specializes in analyzing, pricing, and managing derivative financial instruments such as options, futures, and swaps while working from a remote location. Their main responsibilities include evaluating market risks, monitoring derivative portfolios, and providing insights to support investment or risk management decisions. By leveraging technology, they collaborate with teams and clients virtually, using advanced analytical tools and financial models to assess market trends and ensure regulatory compliance. This role typically requires strong quantitative skills, knowledge of financial markets, and experience with derivatives trading or analysis.

What is the difference between Remote Derivative Analyst vs Remote Equity Analyst?

AspectRemote Derivative AnalystRemote Equity Analyst
Required CredentialsFinance degree, CFA preferred, derivative certificationsFinance/Economics degree, CFA often preferred
Work EnvironmentFinancial institutions, trading firms, hedge fundsInvestment firms, asset management companies
Industry UsageDerivatives trading, risk managementStock analysis, portfolio management
Common Search/ComparisonYesYes

The Remote Derivative Analyst primarily focuses on analyzing derivatives like options and futures, often working in risk management or trading environments. In contrast, a Remote Equity Analyst evaluates stocks and equity markets to inform investment decisions. While both roles require finance knowledge and certifications like CFA, their focus areas and industry applications differ significantly.

More about Remote Derivative Analyst jobs
What cities are hiring for Remote Derivative Analyst jobs? Cities with the most Remote 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 Remote Derivative Analyst jobs? States with the most job openings for Remote Derivative Analyst jobs include:
What job categories do people searching Remote Derivative Analyst jobs look for? The top searched job categories for Remote Derivative Analyst jobs are:
Infographic showing various Remote Derivative Analyst job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, 11% Temporary, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

$92.10K - $121.80K/yr

Full-time

Posted 19 days ago


Job description

Position: Risk Engine Engineer with Acadia exp
Remote Role

Project Description
The Risk Engine Engineer role is in the counterparty credit risk (CCR) modelling and analytics team within R&C model development group. The candidate is joining our global team for the counterparty credit risk modelling covering all assets classes, and in particular, for FX and interest rate derivatives.
Responsibilities
Upon joining the team, the candidate is expected to be immediately working on the long-term strategic counterparty credit risk model replacement project (and subsequently any downstream models affected), responsible for all aspects of model implementation, model testing and reconciliation, design of ongoing performance monitoring plan, and documentation of the model submission package for model risk team's review.
Skills, Must have
Minimum degree of Master or PhD in quantitative fields is required, with at least 3-5 years of relevant experience.
Must have hands-on experience with Acadia
The candidate must have strong quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation and communications skills.
Must have experience implementing complex market or credit risk quantitative modelling for OTC derivatives using programming languages (such as Python and C++) as well as mathematical/statistical software packages.
Knowledge of derivatives pricing models (Black Scholes, Hull White), Monte Carlo simulation, and risk model back testing experience is also a must.
Nice to have
The candidate is preferred (a plus) to have experience in credit risk modelling and is familiar with credit risk concepts such as PFE (Potential Future Exposure), CSA, MPOR, collaterals IM and VM, and Monte Carlo simulation of long-time horizons.