Data Engineer

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

Job summary

WorldQuant is seeking a Data Engineer to join our team of researchers and technologists to enrich large-scale data for quantitative analysis. You will collaborate with researchers to develop predictive signals and build data-processing pipelines in Python.

The role requires strong ML knowledge, experience with real-time data applications, and a proven track record of delivering reliable data-engineering solutions within a finance-focused environment. Fluency in English is essential.

Qualifications

• Bachelor's degree in a technical or quantitative field.
• Strong understanding of deep neural networks and machine learning techniques.
• Experience implementing data science pipelines and real-time applications in Python.
• 3+ years of relevant Data Engineer experience.
• Proficiency with Python tools like Jupyter notebook and pep8 standards.
• Experience with Linux/Unix shells and Git is a plus.

Responsibilities

• Enrich structured and unstructured data into datasets for quantitative analysis and financial engineering.
• Develop validation tools to measure data enrichment quality and integrity.
• Become a domain expert on deep learning and ML applications within the data context.
• Develop insights and collaborate with researchers to generate signals.
• Create utility tools to automate software development, testing and deployment workflows.

Skills

Python

Deep Learning

Machine Learning

Data pipelines

Real-time applications

Jupyter Notebook

PEP8

English proficiency

Linux/Unix shell

Git

Data Engineer experience

Education

Bachelor's degree in a technical or quantitative field

Tools

Jupyter Notebook

Git

Linux/Unix shell

Job description

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

The Role

We are seeking a candidate to join our team as a Data Engineer. The Data Engineer will partner with our close-knit team of quantitative researchers, technologists and data sourcing colleagues to analyze and enrich a broad range of structured and unstructured large-scale data.

Job responsibilities include, but not limited to the followings:

• 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.

Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.