Data Engineer (Fintech)

TL;DR

Data Engineer (Python/ML): Analyzing and enriching large-scale structured and unstructured data to support quantitative financial strategies with an accent on data quality and signal generation. Focus on implementing data science pipelines, integrating deep learning applications, and automating software development workflows.

Location: Onsite (Office-based)

Company

hirify.global develops and deploys systematic financial strategies across global markets using a proprietary research platform to identify market inefficiencies.

What you will do

• Enrich structured and unstructured data into datasets for quantitative analysis and financial engineering.
• Develop validation tools to measure and enhance data quality and integrity.
• Analyze data dynamics using deep learning and machine learning applications.
• Collaborate with research teams to generate predictive signals based on data insights.
• Build utility tools to automate software development, testing, and deployment workflows.

Requirements

• Bachelor's degree in a technical or quantitative field.
• 3+ years of relevant experience as a Data Engineer or in similar roles.
• Practical experience with deep neural networks and other machine learning techniques.
• Demonstrated ability to implement data science pipelines and real-time applications in Python.
• Proficiency with Python-based tools such as Jupyter notebooks and adherence to PEP8 standards.
• Good command of English.

Nice to have

• Experience with LLM/AI for data processing.
• Past experience as a data scientist or data engineer in finance or investment.
• Experience with Linux/Unix shell and Git.

Culture & Benefits

• Competitive compensation package with a clear career roadmap.
• Strong learning culture with training courses, library, and knowledge-sharing events.
• Premium Health Insurance and Employee Assistance Program.
• Generous time-off policy and tenure-based re-creation sabbatical leave.
• Monthly team-building activities and annual company trips.
• Daily office perks including tea breaks, snacks, and meals.