Pay
In line with similar jobs
$100K–$150K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Analyst/Associate – Equity Derivatives Quant/Trader
New York, NY, United States
Live, first seen by us 83 days ago- Pay
$100,000–150,000/yearAnnual period assumed — pay source
Prior internship or full‑time experience in a trading or quantitative research role. Full Time Salary Range of $100,000 - $150,000 #LI-DNI
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- Entry level
Analyst/Associate – Equity Derivatives Quant/Trader
What you’ll work on
Full postingWe are seeking a highly analytical and technically strong Analyst to join our Equity Derivatives Quant/Trading team.
Develop and enhance pricing models for equity and index options, including Greeks
Conduct quantitative research to find and test systematic trading ideas
Design and run backtests to validate signals and strategies
Build and maintain Python and SQL tools for research, automation and risk
Assist traders with market conditions, trade structures and risk exposures
From the employer’s posting
We are seeking a highly analytical and technically strong Analyst to join our Equity Derivatives Quant/Trading team. The ideal candidate will have a strong quantitative background, experience with systematic research, and a passion for markets. This individual will contribute to model development, options pricing analytics, backtesting, and the build-out of proprietary trading and risk infrastructure.
Develop and enhance pricing models for equity and index options, including Greeks and volatility surface dynamics.
Conduct quantitative research to identify and test systematic trading opportunities across derivatives markets.
Design and execute robust backtests to validate signals and strategies.
Build and maintain Python- and SQL-based tools for research, trading automation, and risk management.
Assist traders in analyzing market conditions, trade structures, and risk exposures.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline.
- Deep understanding of options pricing models, Greeks, volatility modeling, and market microstructure.
- Experience in quantitative research, systematic strategy development, and back testing frameworks.
- Ability to leverage AI/ML tools to automate workflows or enhance research.
- Ability to thrive in a fast-paced trading environment with high ownership and attention to detail.
- Excellent communication skills and the ability to collaborate effectively across functions.
Qualification wording
Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline.
Deep understanding of options pricing models, Greeks, volatility modeling, and market microstructure.
Experience in quantitative research, systematic strategy development, and back testing frameworks.
Ability to leverage AI/ML tools to automate workflows or enhance research.
Ability to thrive in a fast-paced trading environment with high ownership and attention to detail.
Excellent communication skills and the ability to collaborate effectively across functions.
Education & alternatives
Qualifications - Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline. - Strong programming skills with Python and SQL; ability to write clean, efficient, and production‑ready code.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 13, 202683 days ago
- Recorded sightings
- 184
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Feb 10, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 83
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
Jefferies is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C++
- Java
- Python
- SQL
Where the posting names them
- Experience with derivative risk systems or real‑time trading tools. - Familiarity with C++, Java, or other compiled languages. - Exposure to equities, volatility products, or multi‑asset derivatives.
- Conduct quantitative research to identify and test systematic trading opportunities across derivatives markets. - Build and maintain Python- and SQL-based tools for research, trading automation, and risk management. - Design and execute robust backtests to validate signals and strategies.
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline. - Strong programming skills with Python and SQL; ability to write clean, efficient, and production‑ready code. - Solid foundation in probability, statistics, and stochastic processes.
Your next step
Complete your application on hdid.fa.us2.oraclecloud.com. The employer’s form will show what is required.
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Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Analyst/Associate – Equity Derivatives Quant/Trader
Group Overview
The Equity Derivatives team focuses on developing and executing systematic and discretionary trading strategies across listed and OTC options. The group works closely with trading, technology, and risk functions to design models, build tools, and manage risk across global markets.
Position Summary
We are seeking a highly analytical and technically strong Analyst to join our Equity Derivatives Quant/Trading team. The ideal candidate will have a strong quantitative background, experience with systematic research, and a passion for markets. This individual will contribute to model development, options pricing analytics, backtesting, and the build-out of proprietary trading and risk infrastructure.
Key Responsibilities
- Develop and enhance pricing models for equity and index options, including Greeks and volatility surface dynamics.
- Conduct quantitative research to identify and test systematic trading opportunities across derivatives markets.
- Build and maintain Python- and SQL-based tools for research, trading automation, and risk management.
- Design and execute robust backtests to validate signals and strategies.
- Assist traders in analyzing market conditions, trade structures, and risk exposures.
- Leverage statistical concepts and machine learning/AI techniques to improve efficiency and decision-making.
- Develop and maintain proprietary analytics to support portfolio and risk monitoring.
- Collaborate with technology teams to ensure seamless integration of models and tools.
- Operate in a fast-paced environment with a high degree of autonomy and accountability.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline.
- Strong programming skills with Python and SQL; ability to write clean, efficient, and production‑ready code.
- Solid foundation in probability, statistics, and stochastic processes.
- Deep understanding of options pricing models, Greeks, volatility modeling, and market microstructure.
- Experience in quantitative research, systematic strategy development, and back testing frameworks.
- Ability to leverage AI/ML tools to automate workflows or enhance research.
- Strong problem-solving skills with the ability to work independently and proactively.
- Ability to thrive in a fast-paced trading environment with high ownership and attention to detail.
- Excellent communication skills and the ability to collaborate effectively across functions.
Preferred Skills (Nice to Have)
- Experience with derivative risk systems or real‑time trading tools.
- Familiarity with C++, Java, or other compiled languages.
- Exposure to equities, volatility products, or multi‑asset derivatives.
- Prior internship or full‑time experience in a trading or quantitative research role.
Full Time Salary Range of $100,000 - $150,000
#LI-DNI
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Prior internship or full‑time experience in a trading or quantitative research role. Full Time Salary Range of $100,000 - $150,000 #LI-DNI
- Location & working pattern
New York, NY, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.