Вакансии

Location: Home based - EMEA Visual Designer Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring Visual Designers for Brand and Design Systems, to join our mission to turn complex, open-source software into efficient, intuitive products that can change how complex systems are built and conceptions of what open source is capable of. We are looking for exceptional designers, who share our passion for impacting the lives of millions of engineers, enterprises, entrepreneurs and consumers every day. These roles sit in our central Design team, who help and learn from each other while working closely with colleagues throughout the organization. Location: This role will be based remotely in the EMEA region. The role entails With a diverse team of design colleagues, you will work on a variety of projects evolving our brand guidelines and applying them to communications materials, our UI design system, and graphic design for digital products. Clear, stylish presentation that aids the user experience of our products is how we raise the bar and reach the widest audience. Real content and information will be at the core of the designs you produce. You know the ins and outs of design and quality heuristics, and you care deeply about usability, accessibility and web standards. You should have agency, company or freelance design experience. What we are looking for in you Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Track record of going above-and-beyond expectations to achieve outstanding results Leadership and commitment to skills development and mentorship Passion for technology evidenced by personal projects and initiatives The work ethic and confidence to shine alongside motivated colleagues Professional written and spoken English with excellent presentation skills Excellent interpersonal skills, curiosity, flexibility, and accountability Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation Thoughtfulness and self-motivation Result-oriented, with a personal drive to meet commitments Ability to travel internationally twice a year, for company events up to two weeks long What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Beijing OR Shanghai 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 岗位职责: WorldQuant is seeking exceptional individuals to join the firm as a Quantitative Research Intern. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Have a strong understanding of the investment research process to build computer-based models that seek to predict the movements of the global financial markets. 根据对投资研究流程的深入理解，创建寻求预测全球金融市场走势的基于计算机的模型 Analyze and apply various types of data to the financial markets through rigorous exploration and unconstrained thinking 大胆猜想，严谨探索，不断寻求新方式分析多种类型的数据并将其应用于金融市场 WHAT WE OFFER 你将会获得: Top performers during internship may be eligible for a full-time offer 优秀的实习生可能获得全职offer Competitive internship compensation 有竞争力的实习薪资 Join our established mentoring program and receive one-on-one guidance by an accomplished advisor during the internship 完善的导师培训机制、一对一师从资深从业者 Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices. 国际化视野，与WorldQuant 全球各地多个团队共事、交流 Flexibility of self-managed work progress, comfortable working environment, and rich employee activities 灵活自主安排工作进度，舒适的办公环境及丰富的员工活动 WHAT YOU'LL BRING 你需要具备: Pursuing a B.S., M.S. or Ph.D. degree from a leading university in related fields (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data) 正在攻读相关领域的本科、硕士或博士学位（例如电子工程，物理，计算机科学，数学，金融工程, 大数据等） Candidates should be graduating in late 2027 or 2028 候选人需于2027年底或2028年毕业 Demonstrated ability of at least one programming language, e.g. C++, python, etc.; familiar with systems like Linux/Unix 熟练掌握至少一种编程语言，如C++、python等； 熟悉Linux/Unix等操作系统 Good English reading and writing skills 良好的英语读写能力 If any issues encountered accessing the online application webpage or if you have any questions, please mail your latest CV to or contact us at WQChinaIntern@worldquant.com 如无法浏览在线申请网页或您有任何疑问，请将您的简历或问题发送至 WQChinaIntern@worldquant.com The position is based in our research office in Beijing or Shanghai . 预期工作地点为 北京 或 上海 的研究办公室。 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.

Location: Beijing OR Shanghai 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 岗位职责: WorldQuant is seeking exceptional individuals to join the firm as a Data Scientist. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Perform analysis and generate models of financial datasets using machine learning techniques 运用机器学习的方法分析并构建金融数据模型 Verify the integrity of unstructured data and turn data into potentially valuable insights 验证非结构化数据的价值并将数据转化成潜在的高质量的市场洞见 Develop and create data that seek to predict the movement of financial market by applying variety of algorithmic techniques 应用各种算法技术开发并构建可尝试预测金融市场波动的数据 WHAT WE OFFER 你将会获得: Competitive compensation 有竞争力的薪资 Join our established mentoring program and receive one-on-one guidance by an accomplished advisor 完善的导师培训机制、一对一师从资深从业者 Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices. 国际化视野，与WorldQuant 全球各地多个团队共事、交流 Flexibility of self-managed work progress, comfortable working environment, rich employee activities, and generous employee benefits 灵活自主安排工作进度，舒适的办公环境、丰富的员工活动及优渥的员工福利 WHAT YOU'LL BRING 你需要具备: Pursuing a B.S., M.S. or Ph.D. degree from a leading university in related fields (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data) 正在攻读相关领域的本科、硕士或博士学位（例如电子工程，物理，计算机科学，数学，金融工程, 大数据等） Candidates should be graduating in 2026 or 2027 候选人需于2026年或2027年毕业 Demonstrated ability of at least one programming language, e.g. C++, python, etc.; familiar with systems like Linux/Unix 熟练掌握至少一种编程语言，如C++、python等； 熟悉Linux/Unix等操作系统 Research experience in NLP, Deep Learning is a plus 有自然语言处理、深度学习、人工智能等研究经验者优先 Good English reading and writing skills 良好的英语读写能力 If any issues encountered accessing the online application webpage or if you have any questions, please mail your latest CV to or contact us at WQBJQuantJobs@worldquant.com 如无法浏览在线申请网页或您有任何疑问，请将您的简历或问题发送至 WQBJQuantJobs@worldquant.com The position is based in our research office in Beijing or Shanghai . 预期工作地点为 北京 或 上海 的研究办公室。 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.

Location: Beijing OR Shanghai 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 岗位职责: WorldQuant is seeking exceptional individuals to join the firm as a Data Science Intern. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Perform analysis and generate models of financial datasets using machine learning techniques 运用机器学习的方法分析并构建金融数据模型 Verify the integrity of unstructured data and turn data into potentially valuable insights 验证非结构化数据的价值并将数据转化成潜在的高质量的市场洞见 Develop and create data that seek to predict the movement of financial market by applying variety of algorithmic techniques 应用各种算法技术开发并构建可尝试预测金融市场波动的数据 WHAT WE OFFER 你将会获得: Join our established mentoring program and receive one-on-one guidance by an accomplished advisor during the internship 完善的导师培训机制、一对一师从资深从业者 Competitive internship compensation 有竞争力的实习薪资 Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices. 国际化视野，与WorldQuant 全球各地多个团队共事、交流 Flexibility of self-managed work progress, comfortable working environment, and rich employee activities 灵活自主安排工作进度，舒适的办公环境及丰富的员工活动 WHAT YOU'LL BRING 你需要具备: Pursuing a Master's or PhD degree from a leading university in related fields (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data) 正在攻读相关领域的硕士或博士学位（例如电子工程，物理，计算机科学，数学，金融工程, 大数据等） Demonstrated ability of at least one programming language, e.g. C++, python, etc.; familiar with systems like Linux/Unix 熟练掌握至少一种编程语言，如C++、python等； 熟悉Linux/Unix等操作系统 Research experience in Deep Learning, NLP, and/or LLM is a plus 有深度学习、自然语言处理和/或大语言模型等研究经验者优先 Good English reading and writing skills 良好的英语读写能力 If any issues encountered accessing the online application webpage or if you have any questions, please mail your latest CV to or contact us at WQChinaIntern@worldquant.com 如无法浏览在线申请网页或您有任何疑问，请将您的简历或问题发送至 WQChinaIntern@worldquant.com The position is based in our research office in Beijing or Shanghai . 预期工作地点为 北京 或 上海 的研究办公室。 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.

Location: Beijing OR Shanghai 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 岗位职责: WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Have a strong understanding of the investment research process to build computer-based models that seek to predict the movements of the global financial markets. 根据对投资研究流程的深入理解，创建寻求预测全球金融市场走势的基于计算机的模型 Analyze and apply various types of data to the financial markets through rigorous exploration and unconstrained thinking 大胆猜想，严谨探索，不断寻求新方式分析多种类型的数据并将其应用于金融市场 WHAT WE OFFER 你将会获得: Competitive compensation 有竞争力的薪资 Join our established mentoring program and receive one-on-one guidance by an accomplished advisor 完善的导师培训机制、一对一师从资深从业者 Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices. Top performers may be eligible to relocate to one of WorldQuant overseas trading offices to work as Portfolio Managers. 国际化视野，与WorldQuant 全球各地多个团队共事、交流，表现优异者有机会前往WorldQuant驻海外的办公室任职基金经理 Flexibility of self-managed work progress, comfortable working environment, rich employee activities, and generous employee benefits 灵活自主安排工作进度，舒适的办公环境、丰富的员工活动及优渥的员工福利 WHAT YOU'LL BRING 你需要具备: Pursuing a B.S., M.S. or Ph.D. degree from a leading university in related fields (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data) 正在攻读相关领域的本科、硕士或博士学位（例如电子工程，物理，计算机科学，数学，金融工程, 大数据等） Candidates should be graduating in 2026 or 2027. 候选人需于2026年或2027年毕业 Demonstrated ability of at least one programming language, e.g. C++, python, etc.; familiar with systems like Linux/Unix 熟练掌握至少一种编程语言，如C++、python等； 熟悉Linux/Unix等操作系统 Good English reading and writing skills 良好的英语读写能力 If any issues encountered accessing the online application webpage or if you have any questions, please mail your latest CV to or contact us at WQBJQuantJobs@worldquant.com . 如无法浏览在线申请网页或您有任何疑问，请将您的简历或问题发送至 WQBJQuantJobs@worldquant.com . The position is based in our research office in Beijing or Shanghai . 预期工作地点为 北京 或 上海 的研究办公室。 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.

Location: Beijing or Shanghai 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. ABOUT WORLDQUANT BRAIN TM : BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and help participants learn and grow through exposure to quant finance, AI, and ML concepts, and in addition, potentially earn compensation based on the quantity and quality of their ideas. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. THE ROLE: WorldQuant is seeking Researchers to join the BRAIN team. BRAIN is WorldQuant’s crowdsourcing initiative that allows anyone in the world with the right skills to become a Quant. Research Create and develop Alphas and other utilization algorithms on BRAIN Conduct research on academic quantitative finance literature Identify and design new research domains. Generate ideas to grow the domain Platform development Analyze current functionalities available to researchers, identify any issues with the platform and provide solutions and recommendations to the BRAIN team Design and test new functionalities and datasets on the BRAIN platform. Business Development and Consultant Engagement Work with BRAIN Strategy and Operations country heads and other Business Development partners to enhance & implement BRAIN business strategy for user and consultant acquisition Conduct training sessions for BRAIN users and consultants Prepare and update training curriculum of BRAIN WHAT YOU’LL BRING: Familiarity and competence in using BRAIN, ex-VRC Research Consultant, or BRAIN Research Consultant preferred Possess or expect a Bachelor’s degree or advanced degree in engineering, science, mathematics, finance or any other related field that is highly analytical and quantitative from a leading university Demonstrated programming experience in one of the following (Java/C++/C/Python/MySQL/SQL Server); knowledge of UNIX preferred Possess a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges Have a strong interest in learning about worldwide financial markets Possess good communication and presentation skills in English 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.

Location: London 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. ABOUT WORLDQUANT BRAIN worldquantbrain.com BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant Brain provides an advanced crowdsourcing platform for external participants to contribute signals, data and more to the firm. THE ROLE: WorldQuant is seeking Researchers to join the BRAIN team. BRAIN is WorldQuant’s crowdsourcing initiative that allows anyone in the world with the right skills to become a Quant. Research Create and develop Alphas and other utilization algorithms on BRAIN Conduct research on academic quantitative finance literature Identify and design new research domains. Generate ideas to grow the domain Platform development Analyze current functionalities available to researchers, identify any issues with the platform and provide solutions and recommendations to the BRAIN team Design and test new functionalities and datasets on the BRAIN platform. Business Development and Consultant Engagement Work with BRAIN Strategy and Operations country heads and other Business Development partners to enhance & implement BRAIN business strategy for user and consultant acquisition Conduct training sessions for BRAIN users and consultants Prepare and update training curriculum of BRAIN WHAT YOU’LL BRING: Familiarity and competence in using BRAIN. Applicants expected to have Consultant status on the BRAIN Platform - worldquantbrain.com Possess or expect a Bachelor’s degree or advanced degree in engineering, science, mathematics, finance or any other related field that is highly analytical and quantitative from a leading university Demonstrated programming experience in one of the following (Java/C++/C/Python/MySQL/SQL Server); knowledge of UNIX preferred Possess a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges Have a strong interest in learning about worldwide financial markets Possess good communication and presentation skills in English Position based in London. Visit https://www.worldquant.com/brain/ for more information about WorldQuant Brain. 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.

Location: Austin OR Chicago OR Miami OR New York OR Old Greenwich OR San Francisco OR West Palm Beach 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 candidates with quantitative research experience and intimate knowledge of systematic strategies across a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Job Responsibilities (include, but not limited to the following) Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies Build and maintain tools and systems used throughout the quantitative research and portfolio management processes What You’ll Bring: PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline 2-8 years’ experience in quantitative research and/or quantitative development for systematic strategies Demonstrated ability to program in Python and/or C++, with a strong background in data structures and algorithms Working knowledge of Linux Strong problem-solving abilities Strong moral integrity and work ethic Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month, three personal days, and ten sick days. Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $150,000 – $200,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com , and we will address your concerns promptly. #LI-JG1 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.

Location: Geneva OR London OR Paris OR Zug 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 candidates with quantitative research experience and intimate knowledge of systematic strategies across a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Job Responsibilities (include, but not limited to the following) Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies Build and maintain tools and systems used throughout the quantitative research and portfolio management processes What You’ll Bring: PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline 2-8 years’ experience in quantitative research and/or quantitative development for systematic strategies Demonstrated ability to program in Python and/or C++, with a strong background in data structures and algorithms Working knowledge of Linux Strong problem-solving abilities Strong moral integrity and work ethic Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, full paid parental leave, generous PTO (paid time off) with unlimited sick days Perks: Employee discounts for gym memberships, wellness activities etc., healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups #LI-GO1 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.

Location: Singapore OR Sydney 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 candidates with quantitative research experience and intimate knowledge of systematic strategies across a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Job Responsibilities (include, but not limited to the following) Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies Build and maintain tools and systems used throughout the quantitative research and portfolio management processes What You’ll Bring: PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline 2-8 years’ experience in quantitative research and/or quantitative development for systematic strategies Demonstrated ability to program in Python and/or C++, with a strong background in data structures and algorithms Working knowledge of Linux Strong problem-solving abilities Strong moral integrity and work ethic Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, full paid parental leave, generous PTO (paid time off) with unlimited sick days Perks: Employee discounts for gym memberships, wellness activities etc., healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups #LI-SB1 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.

Location: Global Remote Workplace: remote Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.   We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. Metabase is looking for a customer-focused, technical Open Source Community Advocate to join our growing global team! We are looking for someone who loves data analytics, enjoys helping others, and is excited to work for a startup to help drive our Success Engineering team’s mission to help our customers be successful by guiding them on how to get data from all the various places it lives, transform it into useful shapes, or to convert their questions into actual queries that can be executed.  You will help and build relationships with our customers in the public places they hang out (like LinkedIn, Twitter, Reddit, and data slack communities), providing help to Metabase users using our open source and for-fee products.  Our discourse forum is often the first resource that comes up when our customers search for issues, and it’s used by Metabase customers big and small.   A typical day will involve a mix of answering our users on our discourse forum and helping customers on Twitter or other social channels.  Any given week, you might correspond with our users to hear what they’re trying to accomplish, collaborate with our writing team, or participate in brainstorming sessions on what content we should create for our customers.   Why Success?    We are the voice for our customers.  Our product team reviews our feedback, asks us for advice, and engages with our customers proactively.  We have a writer on our team who reviews what questions our customers are asking and improves our documentation, so the next customer doesn’t have to ask.  We also work closely with an engineering team focused on critical issues and our escalations, so we don’t have to worry about our customers being impacted by major bugs for a long time.    We’re 100% remote, and our operations are designed that way.  People work during the times that work for them.  You are not expected to be “on” at all times, and there are no points for responding quickly to every Slack you receive.      We don’t overpromise our customers. Since we’re open source, our customers can see what we’re doing in our Github repository and our roadmap is publicly available for our customers at all times.    Many companies use the word “success” to describe jobs that are really sales jobs or account management jobs with quotas. We are not about that. We’re exclusively here to make sure our open source users, our future customers who are currently on trials, and our current paying customers all get the appropriate help they need to be successful.      If you want to take part and have a voice in a truly growing business, believe that BI analytics should be easy to use and set-up, and that self-service analytics should be a real thing and not just some marketing jargon that people put on their websites, please apply! Being an Open Source Community Advocate at Metabase would be a great fit for you if you: Enjoy helping people and solving their problems Have a strong technical background (minimum of 3 -5 years writing production code or administering systems) Have experience with using data visualization or data analytics tools (bonus if you have experience using Metabase) Have excellent written communication Are comfortable being the face of Metabase during webinars or in-person events You have expertise in at least one of: Running Metabase on a variety of operating systems for multiple years Strong background in networking and how web applications function Managing servers (either physical, or Docker, or AWS/GCP/etc) Managing databases and strong SQL skills It’s not required, but a plus if you: Are fluent in multiple languages (this is helpful as our users are world-wide) Compensation The US base salary range for this role is $67.9K–$183.5K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment. We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.   For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.   E-Verify Participation Notice (English/Spanish) Right to Work Notice (English/Spanish)

Location: Taipei 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 exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data that seek to predict the movement of financial market Transfer data into internal infrastructure applying variety of algorithmic techniques What You’ll Bring: Have a Master’s degree or higher from a leading university in Computer Science, Electrical Engineering or other related areas Good academic record Familiar with modeling, data structures, algorithms and optimizations Strong knowledge of machine/deep learning algorithms Proficient in programming languages of both C++ and Python Possess good communication and presentation skills in English Ability to work independently and as member of a team Research scientist mindset: deep thinker, creative, strong work ethic, persevering, smart & a self-starter Detail oriented and capable of multitasking and delivering in fast-paced work environment As a plus: While not mandatory, a strong interest in financial markets will definitely be beneficial Participant of ACM-ICPC 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.

Location: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience. At Toters, technology is at the heart of everything we do. We have product teams that are working hard every day to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now. About the Role We are looking for a Senior Site Reliability Engineer who will play a critical role in ensuring high availability, performance, and resilience across our production systems. You will be at the heart of operational excellence, leading high-impact incident responses, building proactive monitoring systems, and engineering automation that prevents outages before they happen. If you love solving complex distributed system challenges and thrive in high-pressure environments, this role is for you. Key Responsibilities Incident Management & Reliability Act as Incident Commander during major outages, leading real-time diagnosis, communication, and recovery. Own and improve the end-to-end incident management lifecycle , including post-incident reviews and action plans. Drive root cause analysis and proactive reliability improvements to prevent recurrence. Monitoring & Observability Design and maintain metrics, alerts, and dashboards using Prometheus , Grafana , and New Relic . Implement SLIs/SLOs to monitor service health and drive availability targets (99.99%+ uptime). Integrate log management and distributed tracing with tools like ELK Stack and AWS X-Ray . Automation & Tooling Develop automation scripts and internal tooling in Python or Node.js to reduce manual ops and accelerate recovery (MTTR improvement). Build self-healing infrastructure using IaC and automation pipelines . Optimize on-call workflows, escalation policies, and runbooks using PagerDuty . Cloud Infrastructure Operate and improve infrastructure hosted on AWS , ensuring reliability, cost efficiency, and scalability. Collaborate with backend and platform teams to embed SRE best practices across engineering. Key Qualifications 4+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering . Proven success managing production incidents and participating in on-call rotations . Strong hands-on experience with Prometheus, Grafana , and PagerDuty . Proficient in Python or Node.js for automation and tooling. Experience with AWS services (EC2, CloudWatch, ECS/Lambda, IAM, etc.). Solid understanding of Linux systems, networking, and CI/CD pipelines . Nice to Have Experience as Incident Commander in mission-critical environments. Knowledge of New Relic , Sentry , ELK Stack , or Datadog . Background implementing SLIs/SLOs/Error Budgets (Google SRE model). Familiarity with Docker, Kubernetes, Terraform, or Ansible . Certifications such as: AWS Solutions Architect Associate/DevOps Engineer ITIL Foundation or relevant reliability certifications.

Location: Hong Kong OR Singapore OR Sydney 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 candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Independently lead, manage and grow quantitative investment portfolio (portfolio will have a separately identifiable track record) Autonomy to build your own research pipeline and grow your team What You’ll Bring: 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe Strong programming skills in mainstream quant programming languages, such as Python and C++ The Independent Portfolio Manager Opportunity: Transparent and formula-based compensation Meaningful allocation with growth potential based on performance and scalability Access to a deep and broad menu of datasets supported by a dedicated data team Cross-asset execution led by a multi-regional trading team Opportunity for select engagement with the CIO Office in support of your research and strategy development #LI-SB1 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.

Location: Geneva OR London OR Paris OR Zug 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 candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Independently lead, manage and grow quantitative investment portfolio (portfolio will have a separately identifiable track record) Autonomy to build your own research pipeline and grow your team What You’ll Bring: 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe Strong programming skills in mainstream quant programming languages, such as Python and C++ The Independent Portfolio Manager Opportunity: Transparent and formula-based compensation Meaningful allocation with growth potential based on performance and scalability Access to a deep and broad menu of datasets supported by a dedicated data team Cross-asset execution led by a multi-regional trading team Opportunity for select engagement with the CIO Office in support of your research and strategy development #LI-GO1 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.

Location: Singapore OR Sydney 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 candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Lead, manage and grow quantitative investment portfolio Contribute to broader firm research and strategic initiatives What You’ll Bring: 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe Strong programming skills in mainstream quant programming languages, such as Python and C++ The Book Portfolio Manager Opportunity: Transparent and formula-based compensation Opportunities to contribute to other research and strategy initiatives Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms Access to a deep and broad menu of datasets supported by a dedicated data team Cross-asset execution led by a multi-regional trading team Participation in internal research conferences and forums Autonomy to build your own strategies along with several opportunities for collaboration and mentorship Access to AI and Machine Learning opportunities applied to financial markets #LI-SB1 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.

Location: Geneva OR London OR Paris OR Zug 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 candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) Develop systematic strategies that exploit statistically-based predictive signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Lead, manage and grow quantitative investment portfolio Contribute to broader firm research and strategic initiatives What You’ll Bring: 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe Strong programming skills in mainstream quant programming languages, such as Python and C++ The Book Portfolio Manager Opportunity: Transparent and formula-based compensation Opportunities to contribute to other research and strategy initiatives Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms Access to a deep and broad menu of datasets supported by a dedicated data team State-of-the-art cross asset execution led by a multi-regional trading team Participation in internal research conferences and forums Autonomy to build your own strategies along with several opportunities for collaboration and mentorship Access to cutting edge AI and Machine Learning efforts in financial markets #LI-GO1 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.

Location: Yerevan 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. Job Responsibilities (including, but not limited to, the following): Building algorithmic, computer-driven models; Conducting research on academic quantitative finance literature; Exploring new data; Applying an alignment of innovative methods in Applied Mathematics, Computer Science and Financial Economics. What You’ll Bring: Proven 3 years experience in quantitative equity research (buy side or sell side); Background in working with large data sets; Degree from a top university in a highly analytical/quantitative field, such as: Mathematics, Finance or Economics, Computer Science, Physics, Engineering or similar; Research mind-set: be a problem solver, creative, steadfast, smart, a self-starter, etc.; Ability to work independently with minimal direction; Critical thinking and ability to come up with non-standard approaches; Solid programming skills (C++ and Python); Good knowledge of English (both oral and written); Strong work ethic. Additional Preferred Qualifications: Experience working with corporate actions data; Familiarity with equity index basics; International or regional Mathematical/Programming/Physics Olympiad medals; Strong record of academic achievement (PhD, scientific publications, conference presentations, grants or awards); Knowledge of financial economics, including but not limited to portfolio theory, asset pricing, corporate finance, derivatives, etc. What we offer: Dynamic work without routine in a leading international company; Competitive compensation package, which may include annual bonuses and salary increases; Healthy work-life balance support (flexible start time, parental leave, sabbatical after 5 years of service etc.); Possibility for business trips to the US and other countries; Regular team building, competitions and corporate events; Monthly team lunches; Medical insurance; Life insurance; Support program for employees and their relatives on psychological, legal, and financial issues; Parental leave program for secondary care givers; Culture of continuous learning: certification, online and offline training in Armenia and abroad, English classes, mentoring in professional development; Fruits & snacks in the office; Relocation package in certain cases Position based in Yerevan, Armenia. Interested and qualified candidates please send resumes to WQArmeniaRecruitment@worldquant.com #LI-VM2 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.