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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.The Role: The Quantitative Execution team is seeking an Execution Researcher to further refine WorldQuant's execution capabilities across a variety of cash and derivative products to be based in Singapore. Key Responsibilities: Algorithm Design Implementation: Develop detailed specifications for new and enhanced execution algorithms. Implement, test, and deploy robust quantitative trading strategies and tools, primarily using Python. Tooling: Build robust and reusable tools in Python to improve the overall team productivity. Market Impact Modelling: Research, develop, and refine sophisticated market impact models to seek to predict and minimize the cost of trading. Leverage large datasets and advanced statistical/machine learning techniques to improve model accuracy. Transaction Cost Analysis (TCA): Conduct in-depth Transaction Cost Analysis (TCA) to evaluate the performance of execution strategies, identify drivers of transaction costs, and pinpoint opportunities for optimization. Provide actionable insights to portfolio managers and traders. Collaboration: Work closely with the QES Lead for APAC to align strategies with regional market nuances and business objectives. Collaborate with trading desks, technology teams, and other quantitative researchers to integrate solutions and drive innovation What You’ll Bring: PhD/Master’s in a quantitative field (CS, Mathematics, Statistics, Physics, Engineering, Quant Finance) from a top university, with 0–4 years’ experience in quantitative research and/or development for systematic or execution strategies. Solid Python programming skills (required), strong understanding of data structures and algorithms, and experience manipulating large-scale datasets using SQL; C/C++ is a strong differentiator. Strong expertise in regression models, time-series analysis, and applied machine learning, with exposure to deep learning and/or reinforcement learning, ideally in data-intensive, production-oriented environments. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 1 year of experience with software programming in Python or C++. 1 year of experience with data structures and algorithms. 1 year of experience implementing core Machine Learning (ML) concepts. Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. Experience in a university or industry labs, with emphasis on AI research. Experience developing accessible technologies. Understanding of transformer architecture internals. One or more AI/ML research publication in peer reviewed research conference. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will be advancing fundamental capabilities of AI to drive significant benefits to humanity. You will pioneer AI research in Singapore, focused on delivering the most performant, efficient and capable generative AI models.Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.Responsibilities Abstract out key problems, design elegant and deep solutions for these problems through theoretical or empirical insights. Prototype, profile and benchmark solutions to showcase effectiveness. Lead and collaborate with research teams located across the globe. Drive and grow collaborations with product teams to land product innovations. Collaborate with hardware architects/infrastructure teams to inform design and algorithm decisions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

職位概述： 作為高級人工智慧工程師，您將主導最先進的生成式模型研究、設計與實作，應用於影像與視訊領域。憑藉您在深度學習與生成式 AI 的專業知識，您將推動創新，提升我們的影像與視訊技術能力。 職責： 領導影像與視訊處理的先進演算法開發，包括影像修復、影像生成、超解析度（Super-Resolution）、影像增強、影像分割等。設計並實作影像處理、電腦視覺與深度學習技術，提出創新想法，以提升演算法效能與效率，解決真實世界的數據挑戰。與跨功能的軟硬體團隊緊密合作，優化演算法，以符合設備端的即時運算與記憶體限制，確保高效能運行。主導演算法的評估與優化，確保在多樣化環境與條件下保持穩定且卓越的表現。在軟體系統與平台中整合演算法，並與軟體工程師合作，確保無縫銜接與功能完善。追蹤電腦視覺與生成式 AI 的最新技術趨勢，主動探索並提出創新應用於產品與專案中。指導初級團隊成員，提供影像演算法開發、電腦視覺與深度學習技術的專業建議與支持。Position Overview: As a Senior AI Engineer, you will lead the research, design, and implementation of state-of-the-art generative models for image and video applications. Leveraging your expertise in deep learning and generative AI, you will drive innovation and contribute to the enhancement of our image and video applications. Responsibilities: Lead the development of advanced algorithms for image and video processing, including image restoration, image generation, super-resolution, image enhancement, image segmentation, among others.Drive the design and implementation of image processing, computer vision and deep learning technologies, proposing innovative ideas to enhance algorithm performance and efficiency and to address real-world data challenges.Collaborate closely with cross-functional software and hardware teams to optimize algorithms for efficient on-device real-time implementation, considering both computational and memory constraints.Lead the evaluation and optimization of algorithms to ensure robust performance across diverse environments and conditions.Provide technical leadership in the integration of algorithms into software systems and platforms, collaborating with software engineers to achieve seamless integration and functionality.Stay abreast of the latest advancements and emerging technologies in computer vision, and proactively explore and propose innovative ideas for application in our products and projects.Mentor junior team members, providing guidance and expertise in algorithm development, computer vision, and deep learning technologies.