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.
What You’ll Bring:
- 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
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!
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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.
Skills Required
- BSc/M.Sc. 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 simply
- Prior experience working with text data in a data science/quantitative project environment
- Experience in the financial services industry
- Knowledge of workflow scheduling techniques (e.g., Airflow)
WorldQuant Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about WorldQuant and has not been reviewed or approved by WorldQuant.
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Healthcare Strength — Feedback suggests medical and dental coverage is fully paid for employees and dependents, indicating strong health benefits support. This breadth and cost coverage positions healthcare as a notable strength.
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Leave & Time Off Breadth — Feedback suggests paid time off is generous, with substantial vacation, personal days, and sick time described. The overall time‑off structure is portrayed as comprehensive.
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Parental & Family Support — Feedback suggests fully paid parental leave is provided. Family-oriented provisions complement core benefits to support caregiving needs.
WorldQuant Insights
What We Do
WorldQuant is a global quantitative asset management firm with over $7 billion in assets under management. Founded in 2007 by Igor Tulchinsky with the belief that talent is global, but opportunity is not, WorldQuant has more than 1,000 employees spread among 26 global offices. WorldQuant seeks to get to the future faster, guided by the principle that there are an infinite number of insights to discover. The firm develops and deploys investment strategies across a variety of asset classes in global markets. For more information on WorldQuant’s philosophy and culture, please visit www.worldquant.com.
