Financial Data Engineer for FX & Macro Research Project

Posted 2 weeks ago

Worldwide

Summary

I am building an FX and macro research application for myself and am looking for a developer with experience working with financial and macroeconomic datasets. This is a backend/data project. I am not looking for frontend development, dashboards or UI work. The goal is to build a clean and scalable data foundation for FX research. I am looking for someone who can contribute not only as a developer, but also help evaluate data sources, identify useful datasets and suggest practical approaches based on prior experience. Expected scope: - Review and recommend data sources - Design a clean and extensible data model - Build data ingestion pipelines - Normalize data from multiple providers - Calculate a small set of core FX indicators and factors - Document the architecture and implementation Potential datasets: - FX prices - Central bank policy rates - Inflation - Government bond yields - GDP - Unemployment - PMI and activity indicators - Commodity prices relevant to FX markets - Economic calendar data Examples of metrics under consideration: - Price performance over 1, 3, 6 and 12 months - Volatility - Interest rate differential - Interest rate differential trend - Inflation differential - Real rate differential - 2Y and 10Y government yield differentials - Carry-related metrics Expected deliverables: 1. Data source review and recommendations 2. Proposed data model 3. MVP scope recommendation 4. Data ingestion pipelines 5. Database schema 6. Calculation of agreed core metrics/factors 7. Documentation explaining the design and data flow Development should be done in a separate repository. This project will be paid on a milestone/fixed-price basis rather than hourly. When applying, please include: - Relevant experience with financial or macroeconomic data - Data providers you have worked with - Which data sources you would use for policy rates, inflation and government bond yields - Which FX indicators or datasets you consider most useful in practice - Which items you would deliberately exclude from the MVP - Your proposed scope, timeline and budget for the work Bonus if you have previously worked with FX, fixed income, macroeconomic or market data projects.

  • Less than 30 hrs/week
    Hourly
  • 1-3 months
    Duration
  • Expert
    Experience Level
  • Remote Job
  • Ongoing project
    Project Type
Skills and Expertise
Mandatory skills
Python
Data Engineering
Activity on this job
  • Proposals:50+
  • Last viewed by client:2 weeks ago
  • Interviewing:
    0
  • Invites sent:
    0
  • Unanswered invites:
    0
About the client
Member since Dec 17, 2025
  • CYP
    Limassol6:53 AM
  • $8K total spent
    5 hires, 2 active
  • Finance & Accounting
    Individual client

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