NLP Data Engineer
External
Worldquant · Hanoi, VietnamPrepare for this interview
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Requirements
- BSc/M.Sc. from a leading university in Computer Science, Engineering, or related discipline
- 5 years of 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
Benefits
Additional Information
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: As an NLP Data Engineer at WorldQuant, you will be at the heart of transforming unstructured text into actionable, high‑value insights that power quantitative investment strategies. This is a hands-on, engineering role where you'll design, build, and scale the data pipelines that underpin our data research. This role is ideal for someone who loves building production systems, enjoys working deeply with text and large language models, and wants their engineering work to empower quantitative research at the firm. You'll join a highly technical, collaborative environment where you work closely with Research and where your ideas can quickly translate into impact at scale.
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