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qode.worldRemote Quantitative Analyst Work From Home
We are looking for a Quantitative Analyst to join our team and turn data into useful insights. You will work with large datasets, create quantitative models,…
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AI Summary
This role focuses on developing, backtesting, and monitoring quantitative models for pricing, risk, and investment forecasting using Python and SQL. Day-to-day responsibilities include analyzing large financial datasets, applying statistical modeling and machine learning techniques, and presenting findings to cross-functional teams. It suits candidates with a strong background in STEM fields who enjoy working independently to turn complex data into actionable financial insights.
About this role
Remote Quantitative Analyst Work From Home at qode.world is a full-time role. Work arrangement: Remote. Location: Not specified. No salary is shown in this listing. It was posted on Sep 12, 2026. This listing is paused and not taking applications at the moment.
Original Employer Job Description
We are looking for a Quantitative Analyst to join our team and turn data into useful insights. You will work with large datasets, create quantitative models, test strategies, and collaborate with analysts, researchers, and technology experts. This is a great opportunity for someone who enjoys using math, statistics, programming, and financial research in a flexible remote setting.
What You’ll Do:
- Develop and improve quantitative models for forecasting, pricing, risk, and investment analysis.
- Analyze large financial and alternative datasets to find meaningful patterns and opportunities.
- Build and maintain backtesting frameworks to evaluate quantitative strategies.
- Perform statistical analysis, hypothesis testing, and time-series modeling.
- Use Python and SQL to clean, analyze, and transform data.
- Apply machine learning techniques where appropriate.
- Monitor how models perform and investigate unexpected results.
- Document your research, assumptions, methods, and results.
- Present your findings clearly to both technical and non-technical colleagues.
- Collaborate with research, engineering, investment, and risk teams.
- Continuously explore new quantitative techniques, datasets, and technologies.
What We’re Looking For:
We welcome candidates with experience or strong academic/project work in quantitative analysis.
Required:
- Strong analytical and problem-solving skills.
- Proficiency in Python.
- Working knowledge of SQL.
- Understanding of probability, statistics, and quantitative modeling.
- Familiarity with regression, time-series analysis, or machine learning.
- Ability to work independently in a remote environment.
- Strong written and verbal communication skills.
- Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Economics, Finance, Computer Science, Engineering, Physics, or a related field — or equivalent practical experience.
Nice to Have:
- Experience in quantitative finance, trading, portfolio analytics, risk, or pricing.
- Experience building or evaluating backtests.
- Knowledge of financial markets and asset classes.
- Experience with tools like NumPy, Pandas, SciPy, scikit-learn, or statsmodels.
- Experience with R, C++, MATLAB, or similar languages.
- Experience with large datasets or cloud platforms.
- Knowledge of factor models, portfolio optimization, derivatives, or market dynamics.
If you don’t meet every requirement, apply anyway. We value strong quantitative thinking, curiosity, and the ability to learn. Candidates from mathematics, statistics, computer science, physics, engineering, economics, and related fields are encouraged to apply.
Why Join Us?
- 100% remote work.
- Flexible working environment.
- Competitive pay.
- Performance-based bonuses.
- Professional development and learning support.
- Opportunity to work with sophisticated quantitative models and real-world datasets.
- Collaborative team with exposure to research, technology, and financial markets.
- Meaningful opportunity to see your research turn into practical results.
Who Will Succeed Here?
You might be a great fit if you:
- Love solving tough problems with data.
- Enjoy asking, “Why does this model work — and when might it fail?”
- Can turn ideas into analyses, models, or experiments.
- Are comfortable working independently while cooperating with a remote team.
- Care about accuracy, reproducibility, and thorough research.
- Are curious about financial markets and new quantitative technologies.
Core Skills
Role DNA (AI assessment)
High technical complexity combined with strong self-direction makes this ideal for self-motivated quants who can translate deep statistical research into clear business insights.
Salary Analysis
No compensation was disclosed in the posting, but market rates for mid-level remote Quantitative Analysts typically range between $105,000 and $185,000 base pay depending on background and experience.
Employer-Listed Salary
Not disclosed
As stated in this job posting.
AI salary estimate (not from the employer)
AI-estimated market range based on role, seniority, and location — not a guaranteed offer, and independent of the employer's own figure above.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
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