Data Engineer

WorldQuant LLC; New Delhi; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading quantitative finance firm is seeking a Data Engineer in New Delhi to enrich structured and unstructured data for analysis. The role requires a strong background in deep learning and machine learning, with experience coding in Python and implementing data science pipelines. Ideal candidates will have over 3 years of relevant experience and excellent software development skills. An understanding of financial data and tools is advantageous, making this an exciting opportunity for those passionate about data-driven insights.

Qualifications

• Strong academic background in a technical field.
• 3+ years of relevant experience in data engineering or similar roles.
• Good command of English.

Responsibilities

• Enrich data for quantitative analysis and financial engineering.
• Enhance data quality through validation tools.
• Analyze deep learning applications and understand data dynamics.

Skills

Data Engineering

Deep Learning

Machine Learning

Python

Data Science Pipelines

Analytical Skills

Software Development

Education

Bachelor’s degree in a technical or quantitative field

Tools

Jupyter Notebook

Linux/Unix Shell

Git

Job description

The Role

• Enriching a wide range of structured and unstructured data into datasets for quantitative analysis and financial engineering.
• Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment.
• Becoming a domain expert on different deep learning and machine earning applications, analyzing & understanding the underlying dynamics and behaviors within the data.
• Develop insights based on the data and collaborate with the research team to generate signals.
• Developing the utility tools that can further automate the software development, testing and deployment workflow.

What You’ll Bring

• Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field.
• Practical experience with and understanding of deep neural networks and other machine learning techniques.
• Demonstrated ability to implement data science pipelines and real-time applications in Python
• 3+ years of relevant experience as a Data Engineer or similar roles.
• Proficiency with python-based tools like Jupyter notebook, coding standards like pep8.
• Experience with LLM/AI for data processing is a plus
• Exceptional analytical & problem-solving abilities, with a strong attention to detail.
• Good command of English
• Excellent software development skills: ability to convert rough overall use-cases to a working codebase.
• Motivated by a deep curiosity and passion to learn is a plus.
• Past experience as a data scientist or data engineer in finance or investment profile is a plus.
• Experience with Linux/Unix shell and Git is a plus.