WorldQuant Hanoi Hoàn Kiếm Vietnam
1 month ago
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 an engineer to ensure the reliability and performance of World Quant's Data Platform. Successful candidates will work with researchers, operations and other technology teams to establish the smooth functioning of our production data pipeline sourced from an enormous and continuously updating catalog of vendor and market data. This engineer will also develop solutions to improve the efficiency and scalability of our ever growing business-critical management system
• Operate, monitor, provision the system to make sure it works smoothly
• Provide feedback for system improvement
• Provide solutions for live monitoring of the production data pipeline
• Design and implement continuous integration and test automation
• Deliver release management solutions
• Collaborate with engineering, analyst, research teams to ensure the reliability and operability of new data pipeline components
• Analyze and diagnose platform performance and reliability problems
• Understand, manage, and utilize the right technologies for building our platform such as Kubernetes, Kafka, and Spark
What You’ll Bring
• Bachelor’s degree in Computer Science or equivalent experience
• Excellent analytical skills and a passion for solving problems
• Experience in Linux administration; fluent in Linux standard command line programs
• Fluency in Python and its ecosystem (numpy, pandas, etc.) is strongly recommended
• Experience in metrics and logs aggregation and analysis with a focus on performance optimization
• Understanding of Git and CI/CD concept
• A great support attitude (our job is to make life easier for other teams!)
• Strong written and verbal communication skills; Fluency in the English language
• Knowledgeable in:
• Computer science fundamentals (algorithms and data structures)
• Relational databases
• Modern service architectures
• Experience in the following technologies is relevant: Kafka, Docker, Helm, Kubernetes, GC, AWS, Spark and Pyspark, Hadoop, Redis, MySQL, gRPC, Apache Arrow, Apache Airflow
What We Offer
• Competitive compensation package
• Core benefits include: premium private health insurance and life insurance with savings plan
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams
• Employee resources groups with strong diversity and inclusion culture
Copyright © 2023 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
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