About the role
Role: Financial Research Engineer (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience
Role Overview: This contractual role focuses on researching and developing financial models leveraging advanced computational techniques and AI-driven methodologies. The position requires deep technical expertise in quantitative finance, algorithmic research, and data processing to deliver high-impact solutions for financial analysis and decision-making frameworks. The work directly shapes the foundation of predictive tools and automated financial systems that inform strategic business decisions.
Key Responsibilities:
- Design, implement, and validate quantitative financial models using Python, statistical analysis, and machine learning algorithms.
- Conduct research on emerging trends in financial markets to identify patterns, anomalies, and predictive indicators relevant to model improvement.
- Collaborate with cross-functional teams to translate financial hypotheses into testable algorithms and validate their performance against real-world datasets.
- Optimize model efficiency and scalability to handle large-scale financial data while maintaining computational performance.
- Document research findings, methodologies, and model outputs for internal stakeholders and regulatory compliance.
Required Skills & Qualifications:
- Master’s degree or higher in Finance, Economics, Computer Science, or a related quantitative field.
- 5+ years of experience in financial modeling, quantitative research, or algorithmic development within a finance or fintech environment.
- Proficiency in Python with demonstrated use of libraries such as NumPy, Pandas, SciPy, and scikit-learn for financial data analysis.
- Strong background in statistical modeling, time-series analysis, and machine learning techniques applied to financial datasets.
- Experience working with large-scale financial datasets, including market data APIs, historical price feeds, or alternative data sources.
More About the Opportunity: This role offers the chance to contribute to transformative work in the intersection of finance and AI, with direct influence on product development and market strategy. You will operate in a high-autonomy environment where technical rigor and innovation are prioritized. The scope includes global financial markets, enabling exposure to diverse asset classes and dynamic economic conditions.
Apply Now!
Not the right fit? Search for Financial Research Engineer jobs in Canada
About Hire Feed
HireFeed: A QuikHire product.
Earn in dollars. On your hours. From wherever.
HireFeed is the AI-curated feed of contract, gig, and AI training jobs that pay in USD, built for the people who actually want to work, not the ones writing job descriptions.
Why it exists: the highest-paying contract work in the world - RLHF, AI evaluation, domain-expert training, senior contract engineering, sits scattered across hundreds of ATS feeds and platform job boards. Most of it never makes it to Indeed or LinkedIn, and the roles that do are usually stale by the time you find them. The best opportunities are also the most ephemeral.
HireFeed pulls from 500+ verified sources, including Outlier, Mercor, Surge AI, Micro1, Turing, Toloka, Appen, and Remotasks, and refreshes every 60 seconds. The moment a role closes at the source, it falls off the feed.
What you'll find here:
- AI training, RLHF, and evaluation: $20–$80/hr
- Domain experts: medical, legal, finance, math (PhD)
- Senior contract engineering, paid weekly
- Multilingual annotation, creative writing training, AI research
What you won't find: pay-undisclosed listings, expired roles, "still accepting applications" lies, recruiter middlemen, or data resale. Pay is a hard requirement. Apply links 302-redirect to the source ATS. We never see your résumé.
Free for candidates, forever. Funded by the partner side.
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About the role
Role: Financial Research Engineer (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience
Role Overview: This contractual role focuses on researching and developing financial models leveraging advanced computational techniques and AI-driven methodologies. The position requires deep technical expertise in quantitative finance, algorithmic research, and data processing to deliver high-impact solutions for financial analysis and decision-making frameworks. The work directly shapes the foundation of predictive tools and automated financial systems that inform strategic business decisions.
Key Responsibilities:
- Design, implement, and validate quantitative financial models using Python, statistical analysis, and machine learning algorithms.
- Conduct research on emerging trends in financial markets to identify patterns, anomalies, and predictive indicators relevant to model improvement.
- Collaborate with cross-functional teams to translate financial hypotheses into testable algorithms and validate their performance against real-world datasets.
- Optimize model efficiency and scalability to handle large-scale financial data while maintaining computational performance.
- Document research findings, methodologies, and model outputs for internal stakeholders and regulatory compliance.
Required Skills & Qualifications:
- Master’s degree or higher in Finance, Economics, Computer Science, or a related quantitative field.
- 5+ years of experience in financial modeling, quantitative research, or algorithmic development within a finance or fintech environment.
- Proficiency in Python with demonstrated use of libraries such as NumPy, Pandas, SciPy, and scikit-learn for financial data analysis.
- Strong background in statistical modeling, time-series analysis, and machine learning techniques applied to financial datasets.
- Experience working with large-scale financial datasets, including market data APIs, historical price feeds, or alternative data sources.
More About the Opportunity: This role offers the chance to contribute to transformative work in the intersection of finance and AI, with direct influence on product development and market strategy. You will operate in a high-autonomy environment where technical rigor and innovation are prioritized. The scope includes global financial markets, enabling exposure to diverse asset classes and dynamic economic conditions.
Apply Now!
Not the right fit? Search for Financial Research Engineer jobs in Canada
About Hire Feed
HireFeed: A QuikHire product.
Earn in dollars. On your hours. From wherever.
HireFeed is the AI-curated feed of contract, gig, and AI training jobs that pay in USD, built for the people who actually want to work, not the ones writing job descriptions.
Why it exists: the highest-paying contract work in the world - RLHF, AI evaluation, domain-expert training, senior contract engineering, sits scattered across hundreds of ATS feeds and platform job boards. Most of it never makes it to Indeed or LinkedIn, and the roles that do are usually stale by the time you find them. The best opportunities are also the most ephemeral.
HireFeed pulls from 500+ verified sources, including Outlier, Mercor, Surge AI, Micro1, Turing, Toloka, Appen, and Remotasks, and refreshes every 60 seconds. The moment a role closes at the source, it falls off the feed.
What you'll find here:
- AI training, RLHF, and evaluation: $20–$80/hr
- Domain experts: medical, legal, finance, math (PhD)
- Senior contract engineering, paid weekly
- Multilingual annotation, creative writing training, AI research
What you won't find: pay-undisclosed listings, expired roles, "still accepting applications" lies, recruiter middlemen, or data resale. Pay is a hard requirement. Apply links 302-redirect to the source ATS. We never see your résumé.
Free for candidates, forever. Funded by the partner side.
→ hirefeed.co.in