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: The Data Engineer plays a pivotal role in the development of our data systems. A successful candidate will design, implement, test, deploy, and monitor production data pipelines using MLOps methodology in close collaboration with other teams. The candidate will need to quickly learn and apply new cutting-edge technologies, focusing on Large Language Models (LLM). The goal is to produce agile, scalable, and fault-tolerant systems as we grow in size and sophistication. This person will follow coding best practices, participate in code and design reviews, and advocate for coding excellence.
What You’ll Bring:
- Degree in a quantitative or technical discipline (computer science, engineering, etc.)
- At least 2 years’ experience in developing and managing scalable and robust data pipelines
- Have a deep understanding of machine learning and experience in training, inference, and evaluation.
- Excellent Python coding skills; familiarity with pandas & Spark is required
- Strong analytical skills and attention to detail
- Excellent communication skills in both verbal and written form
- Ability to operate in a collaborative, team-oriented culture
- Proactive and mature approach to problem-solving and project management
- Experience with Kubernetes (k8s) for deployment is preferred
- Experience with monitoring and alerting tools is preferred
- Experience with LLM technologies (OpenAI-compatible, llama.cpp, vllm) is preferred
- Familiarity with infrastructure management and deployment and ML Ops is preferred
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
- Employee resources groups with strong diversity and inclusion culture
- 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, monthly team lunch – 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.
