Pay
Higher than most similar jobs
$150K–$300K against $118K–$195K, the middle half of what similar US postings state.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Quantitative Research Analyst
- Pay
$150,000–300,000/year · Base — pay source
The ability to simplify and effectively communicate complex concepts. The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Employer’s visa record
- 3 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingDevelop and implement automated statistical trading models
Generate research ideas and build and analyze data sets
Conduct statistical data analysis for trading model development
Implement quantitative models in production trading
From the employer’s posting
develop and implement automated statistical trading models
generating research ideas, building and analyzing data sets
conducting statistical data analysis
implementing quantitative production trading models
What you’ll bring
All qualificationsCore experience
- Bachelor's or advanced degree in a quantitative field such as economics, finance, statistics, math or computer science
- Programming experience, ideally in R, C++ and/or Python
- Strong working knowledge of regression, time series analysis and other statistical techniques
- Ability to synthesize academic literature in finance, economics and statistics
- Strong interest in financial markets
Preferred experience
- Experience building, organizing and analyzing large data sets
Qualification wording
A bachelors or advanced degree in a field providing a background in advanced statistical analysis of large data sets
Programming experience, ideally including R, C++ and/or Python.
Strong working knowledge of regression, time series analysis and other statistical techniques.
The ability to comprehend and synthesize academic literature in finance, economics and statistics.
Strong financial market interest.
Experience building, organizing and analyzing large data sets is preferred.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 173 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 24, 2026173 days ago
- Recorded sightings
- 40
- Last seen by us
- Nov 13, 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 173
Up longer than most. Similar jobs usually come down between day 8 and day 60.
From 11,783 similar postings that came down. Coming down is not always a hire.
Stevens Capital Management LP is hiring
5 open jobs
- No new data jobs since June
- Its jobs tend to stay up a long time
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++
- Python
- R
Where the posting names them
- A bachelors or advanced degree in a field providing a background in advanced statistical analysis of large data sets (includes, but is not limited to, economics, finance, statistics, mathematics or computer science). - Programming experience, ideally including R, C++ and/or Python. - Strong working knowledge of regression, time series analysis and other statistical techniques.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.
Primary Responsibilities:
- Utilize your analytical and quantitative skills, market knowledge and intuition to develop and implement automated statistical trading models.
- Participate in all aspects of research and trading model development, including generating research ideas, building and analyzing data sets, conducting statistical data analysis and implementing quantitative production trading models.
Requirements:
- A bachelors or advanced degree in a field providing a background in advanced statistical analysis of large data sets (includes, but is not limited to, economics, finance, statistics, mathematics or computer science).
- Programming experience, ideally including R, C++ and/or Python.
- Strong working knowledge of regression, time series analysis and other statistical techniques.
- Experience building, organizing and analyzing large data sets is preferred.
- The ability to comprehend and synthesize academic literature in finance, economics and statistics.
- Strong financial market interest.
- The ability to simplify and effectively communicate complex concepts.
The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
The ability to simplify and effectively communicate complex concepts. The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
- Location & working pattern
Radnor, PA
SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally. We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment. Primary Responsibilities:
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.