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Financial Research Engineer (Remote)

Hire Feed
Abu Dhabi, UAE
contract
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Today
engineeringdesignproject managementmaintenancequality controltechnical
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Overview

  • **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.

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