NLP Data Engineer

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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.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.The Role: WorldQuant is seeking an exceptional individual to join the firm as NLP Data Engineer. A successful candidate must possess a strong interest in learning about finance, global markets and quantitative investment. NLP Data Engineer will design, implement and monitor complex data pipelines from multiple sources coming in variety of formats and latencies. You will collaborate with data, technology and research teams to develop and test robust data onboarding and ETL systems directly consumed by quantitative investment strategies.What You'll Bring:

BSc/M.Sc. from a leading university in Computer Science, Engineering, or related discipline
Demonstrated experience programming scalable and robust software in Python
Demonstrated experience building or maintaining data pipelines
Basic knowledge of probability and statistical theory
Experience working in Linux environments
Experience with building and operating ML inference pipelines.
Experience with using LLM for structured data extraction.
Strong communication skills; ability to express complex concepts in simple terms
Experience in the financial services industry is a big plus
Knowledge of workflow scheduling techniques (e.g. Airflow) is a plus
Prior experience working with text data in a data science/quantitative project environment

What We Offer:

Competitive and attractive compensation package with clear career road-map - where you feel challenged everyday
We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
Premium Health Insurance and Employee Assistance Program
Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
Team building activities every month: Local engagement events - Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
Annual company trip and occasional global conferences - opportunity to travel and connect with our global teams
Happy-hour with tea break, snacks and meals every day in the office!

#LI-VP1By submitting this application, you acknowledge and consent to terms of the The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.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.

WorldQuant

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