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Remote Quant information
See salary details
$98K - $112.7K
15% of jobs
$112.7K - $127.4K
7% of jobs
$132K is the 25th percentile. Wages below this are outliers.
$127.4K - $142K
9% of jobs
$142K - $156.7K
14% of jobs
The median wage is $163.4K / yr.
$156.7K - $171.4K
12% of jobs
$171.4K - $186.1K
14% of jobs
$192.1K is the 75th percentile. Wages above this are outliers.
$186.1K - $200.8K
12% of jobs
$200.8K - $215.5K
7% of jobs
$215.5K - $230.1K
5% of jobs
$230.1K - $244.8K
5% of jobs
$244.8K - $259.5K
0% of jobs
$98K
$169.7K
$259.5K
How much do remote quant jobs pay per year?
What is the difference between Remote Quant vs Remote Data Scientist?
| Aspect | Remote Quant | Remote Data Scientist |
|---|---|---|
| Required credentials | Advanced degrees in quantitative fields, such as Math, Physics, or Finance | Degrees in Computer Science, Statistics, or related fields |
| Work environment | Financial firms, hedge funds, or trading companies | Tech companies, startups, or research organizations |
| Employer usage | Used for developing trading algorithms and risk models | Used for analyzing data, building predictive models, and deriving insights |
Remote Quants focus on developing quantitative models for finance and trading, often requiring advanced math and finance knowledge. Remote Data Scientists analyze large datasets to extract insights, typically with a background in computer science or statistics. While both roles involve data analysis, Quants are more finance and algorithm-focused, whereas Data Scientists have a broader application scope across industries.
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Cities with the most Remote Quant job openings:
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The most popular types of Quant jobs are:
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Part-time, Internship
Posted 9 days ago
Job description
The Remote Quantitative Research Intern position will be tasked with completing a quantitative research project to assist the club's Football Information department in identifying key insights. Most of the work in this role will be completed independently, with significant flexibility in scheduling.
Qualifications
- Passion for the game of football
- Intellectual curiosity and enthusiasm for answering questions with data
- Ability to build statistical models in R or Python required
- Coursework in statistics and/or machine learning required
- Strong quantitative intuition
- Self-directed, proactive, and able to work independently
Optional Supplemental Materials
- If you have a deliverable from a prior data analytics project (e.g., an NFL Big Data bowl submission, thesis or class paper, well-documented GitHup repo, blog post, presentation slides, or detailed Twitter thread), please include it in or a link with your application
- If you do not have any relevant projects, we do not expect you to complete one for the purpose of this application
Time Commitment
This is a remote, part-time position. Interns will focus on a single football research project over a 10-week period. Over the course of the 10 weeks, the intern will be expected to spend an average of 15 hours a week working on the project. The role is open to anyone who can meet this time commitment.
About Detroit Lions
Sourced by ZipRecruiter
Industry
Spectator sports
Company size
51 - 200 Employees
Headquarters location
Allen Park, MI, US
Year founded
1929