Вакансии

Location: United States (Remote); Seattle, Washington; San Francisco, California Workplace: Remote We are currently hiring Staff Software Engineers across multiple back-end systems teams. The work you will do as a Staff Engineer is key to developing features without complicating Temporal, as the increasing complexity of our systems creates additional challenges. You will design, build, and maintain significant portions of our backend functionality for highly scalable, multi-tenant services. Examples of the key distributed systems aspects you can impact include (but not limited to) latency, scale, reliability, multi-region failover, and availability.  Working in a highly collaborative team, we’ll look to build a new enterprise offering that will involve both on-premise and dedicated cloud offerings. To see more details about projects the OSS team is working on and demo videos, click here https://temporalio.notion.site/Join-the-OSS-Team-at-Temporal-2058fc567738803c86e7f42ea0353cee. WHAT YOU'LL DO - Design and implement core backend service features - Provide appropriate test coverage for unit, integration, and performance for your feature ownership area - Clearly document design choices and operational knowledge to successfully deploy and run service with those features - Provide appropriate service level logs and metrics to make features operational for cloud service setup - Provide appropriate alerts, dashboards, and runbooks for production WHAT YOU'LL BRING - Rich experience as an "Arranger" and/or "Builder/Enhancer" in large-scale distributed systems design (reliability, scalability). see HERE https://temporalio.notion.site/Distributed-Systems-Concurrency-2526e6dfce4947d39fd3a40f9f07652afor more info re: "Arranger" and/or "Builder/Enhancer" - Operational experience in large-scale distributed systems environments - Experience developing highly concurrent systems - Demonstrated experience writing concurrent code in production as Advanced or Expert levels. see HERE https://temporalio.notion.site/Distributed-Systems-Concurrency-2526e6dfce4947d39fd3a40f9f07652afor more info re: Advanced or Expert levels - Knowledge and experience of reliability so you can further ensure the high reliability of the Temporal system - Experience with Elastic Search or Clickhouse - Ideas and actions to improve the velocity of the team NICE TO HAVE - Familiarity with Go, other similar languages great too - Experience with infrastructure environments (strong plus) Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Data Scientist. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data at the firm. Your future role within QRT This team is integral to the firm’s success. As such, your responsibilities will include: Collaborating with Quantitative Researchers and Traders to design datasets that drive systematic strategies and to inform discretionary trading decisions Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats Working with Engineers to automate and optimise your code, ensuring robust data extraction processes Managing the end-to-end process of onboarding new datasets Proactively solving data related problems to minimise time to production Innovating and experimenting with novel data extraction methods to enhance the firm’s data onboarding toolkit Your present skillset 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering. Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy Demonstrable interest in financial markets and the application of data in its analysis and understanding Experience working with both traditional and alternative financial datasets Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors Ability to work in a high-performance, high-velocity environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Zurich Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Your core objective is to create high quality predictive signals. By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. Share and discuss research results, methodology, data sets and processes with other researchers. Implement the signals and the relevant datasets within the global execution platform. Monitor signal behaviour and model performance over time. You would lead the full strategy research cycle from signal generation to implementation. Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. Capacity to multi-task in a fast paced environment while keeping strong attention to detail. Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#). Experience in exploring large datasets across multiple time frames is a plus. Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. Capacity to work with autonomy within a collegial and collaborative environment. Strong capacity to communicate with technologists, data scientists and traders across the globe. Proven track record in delivering successful systematic strategies. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | New York, NY | San Francisco, CA About the Role Cloudflare’s Emerging Technologies & Incubation team builds and launches bold new products on Cloudflare’s edge network. This role is on the Durable Objects team, which powers stateful serverless applications for Cloudflare customers. You’ll help evolve the runtime and the low-level routing and storage systems that support real-time chat, multiplayer games, AI agents, and other stateful workloads at scale. Responsibilities Build and improve the Durable Objects runtime. Design and develop the low-level routing and storage systems that power customer applications. Improve reliability, scalability, performance, and feature depth. Own code end-to-end from design through production. Solve complex problems in production distributed systems. Work across JavaScript, TypeScript, Rust, and C++. Help drive the continued evolution of the system. Desirable Skills, Knowledge & Experience 5+ years of experience writing systems software. Operational mindset with experience owning code in production. Strong foundation in data structures, algorithms, and system design. Deep expertise in at least one systems programming language such as C/C++ or Rust. Experience designing and architecting large-scale distributed systems. Familiarity with cloud platforms, especially serverless architectures. Experience as a technical leader or team lead, driving engineering decisions. Bonus Points Experience working on database internals, especially SQLite. Deep understanding of web technologies such as browsers, HTTP, JavaScript, and WebAssembly. Background in low-latency, real-time environments such as game streaming, high-frequency trading, or payment systems. Experience debugging, optimizing, and identifying failure modes in large-scale Linux-based distributed systems. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Austin Workplace: OnSite We are looking for Quantitative Researchers to join our quant hub in Austin. You will have a chance to build alphas, and conduct research working with datasets covering different markets. The role demands sharp analytical skills, a relentless commitment to excellence, and a passion for uncovering hidden patterns in the data. Our team values determination, precision, and the ability to think critically and creatively. While the work is demanding, the rewards are significant, both in the impact of your contributions and the growth you’ll achieve in this collaborative and high-performance environment. We rely on people’s autonomy and provide freedom to create the best algorithms in finance, while truly being attentive to a fundamentally important asset - communication. Location Austin, TX (5 days in-office requirement) Key Responsibilities - Build statistical and predictive models - Manage all aspects of the research process, including methodology selection, data collection/normalization and analysis, prototyping, backtesting, and performance monitoring - Apply rigorous modeling techniques to explore variety of datasets - Build new and improve existing signals (long-term) - Optimize quantitative code and numerical methods - Adapt, fix, write tests, and in some cases re-implement strategies execution code Basic Requirements - Physics, Mathematics, Computer Science, Engineering or other technical degree - Math skills: statistics, linear algebra, optimization etc - Strong critical thinking skills with an analytical and creative approach to problem-solving - Practical Knowledge of Python and Python libraries (NumPy, Pandas etc) - Detail-oriented approach - Written and Verbal English in full-working-proficiency level Nice to have Requirements - Phd / MSc degree in Physics, Mathematics, Computer Science, Engineering or similar area - Practical knowledge of C++ or Java - Competitive Programming Experience (participation in International STEM Olympiads is a huge plus) What you’ll get - On-site presence of experienced Quantitative Researchers and Portfolio Managers to learn from - Build Strategies while becoming the best at what you do - Professional guidance from experienced mentors What makes you a match - You LOVE solving technical and math problems! - You love to code and play with data - You are willing to explore new articles and implement suitable ideas - Difficult problems make you excited - You are not afraid of unknown and love to learn - You have A LOT of passion and drive Benefits - Health insurance - Flexible sick time policy - Office Lunches

Location: Dubai Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Your core objective is to create high quality predictive signals. By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. Share and discuss research results, methodology, data sets and processes with other researchers. Implement the signals and the relevant datasets within the global execution platform. Monitor signal behaviour and model performance over time. You would lead the full strategy research cycle from signal generation to implementation. Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. Capacity to multi-task in a fast paced environment while keeping strong attention to detail. Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#). Experience in exploring large datasets across multiple time frames is a plus. Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. Capacity to work with autonomy within a collegial and collaborative environment. Strong capacity to communicate with technologists, data scientists and traders across the globe. Proven track record in delivering successful systematic strategies. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: VIRGIN VOYAGES, Worldwide WHY WORKING ON CRUISE SHIPS? Cruise ship is like a floating city with cozy hotels, casual and luxury restaurants, kid's rooms, pools, casinos, theaters, and penetrating joyful atmosphere of fun. Working on cruises ships is an excellent opportunity to work, travel, and save money at the same time. Giant cruise companies are constantly growing and expanding their operations building new cruise ships, thus more and more employees are needed for various positions - receptionists, hairdressers, croupiers, cleaners, animators, nurses, cabin stewards, bartenders, cooks, photographers, waiters, electricians, engineers, carpenters, shop attendants and many other. Cruise companies employ international crewmembers from more than 72 countries, so different nationalities work and live together sharing common interests and often becoming friends. AHOY, DEAR CANDIDATES! Virgin Voyages provides just great work conditions: Work on board brand new company vessels Scarlet Lady, Valiant Lady, Resilient Lady (ship #4 will happen later on!) Be a part of special Virgin Voyage’s lifestyle and philosophy and grow together Contract length - 4-6 months for most positions, for entry positions - 7 months Free food, accommodation, coffee + soft drinks and also wifi (though limited speed) for crew The employer is going to provide or reimburse expenses for the following: * STCW certification * Joining tickets * Pre-Employment Medical Examination (PEME) * Necessary Visas * Joining expenses, such as transfers, hotel accommodations, subsistence The Gig: The Procurement Manager manages the onboard inventories of the food department, and ensures that an accurate inventory is maintained at all times through entering daily requisitions and performing end of voyage physical inventories. He or she also monitors that all Company policies are followed in storage, receiving, issuing and ordering, and ensures the highest standards of Quality Control by ensuring specifications are relentlessly adhered to. Responsibilities: Must have in-depth knowledge of the overall Culinary experience onboard the ship and be familiar with the entire hotel operation. Will work under the direct supervision of the Hotel Controller while working very closely with the Sr Executive Chef and the culinary team. Must work according to Shipsan & USPH guidelines per the Vessel Sanitation Program Must work using HACCP methods and guidelines by using: Managing Food safety. Must ensure that food requisition templates are kept current and are updated on a per voyage basis. Ensures daily requisitions in order to produce running inventory. Takes end of voyage physical inventory (including High Cost Items, Meat and Fish thawing rooms), and analyses any differences between Inventory by requisition and location. Must work closely with the Hotel Controller who produces and sends the end of voyage ZIP file. Generates Food order based on up-to-date Inventory and company loading schedule. Must review and reconcile pre-receiving report generated from the Office. Must ensure all additions, cancellations, and receiving are entered into the ICS system. Must ensure that the quality of items received match the specifications forwarded by the Food Purchasing and Quality Control departments. Responsible for the receiving of all Food products onboard and signing of all suppliers’ invoices. Produce discrepancy report based upon difference between ordering and receiving. Assist in generating food-testing report. Must ensure that company specifications are followed with all products with any discrepancies being reported to Food Purchasing and Culinary operations (“Loading Quality Report”). Must ensure that proper rotation of stock using FIFO system. Strict attention must be paid to expiry date of all products. JOB DESCRIPTION On a per cruise basis prepares the spoilage, non-moving and slow-moving items report and provides them to the Food & Beverage Director and Sr Executive Chef. Responsible for all stores temperatures, maintenance of Shellfish and Sushi Grade fish logs and general maintenance. Responsible for all storage room temperatures (refrigeration and chilled rooms) and reports any discrepancies or malfunction to the technical department. Responsible of all storeroom personnel schedules, training and job performance. Additional Responsibilities: Prepare appraisals for individuals under their remit in accordance with Virgin Voyages policies. Attends passenger functions as required by Head of Department. Partake in inspections, trainings and meetings as required by Head of Department. Ensures that the set standards are kept and staff members work according to their respective job descriptions. Super Powers Required: Minimum 3 years’ recents experience as Procurement Manager or similar position (Provision Master) onboard a Premium Cruise ship. Extensive knowledge of inventory control procedures with regard to Hotel and Food & Beverage Operations. Demonstrated experience in motivating, leading and engaging a diverse workforce to increase synergy and improve productivity. Excellent understanding of food specifications, including but not limited to USDA meat and standards and grading. Knowledge of Vessel Sanitation Program regulations and procedures. Knowledge of HACCP rules and regulations. All certificates as required by the STCW code for this position. Good command of the English Language What Matters to Us At Virgin, your personality matters as much as how good you are at what you do. We want you to bring it to our hang out spot and help make the place even better. So, we won’t be surprised to hear that when people talk about you they say you are clever, on top of it, able to think ahead, intuitive, passionate and someone people respect and enjoy working with because you make things happen. NOTE: Nationalities that we can process: 🇱🇹 🇱🇻 🇪🇪 🇵🇱 🇷🇺 🇧🇾 🇺🇦 🇲🇩 🇰🇿 🇰🇬 🇺🇿 🇦🇲 🇬🇪 🇦🇿 🇹🇯 🇹🇲 Last updated: April 15, 2022 You can submit your Resume here pushing APPLY TO POSITION button below OR if it does not work you may forward CV to APPLY@ ISMIRA.LT (without gaps) In case you are not sure what position to apply, you can always upload your CV to general application here: https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions

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: Remote Data Scientist (Senior Staff, Staff, & Senior roles available) About the company In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered. KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects. Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations. KoBold runs exploration programs in eight countries, all with the potential for another discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. We are hiring a Data Scientists to help accelerate our mission. About the position In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities The Data Scientist will: Help develop KoBold’s proprietary software exploration tools. Find and curate  geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system. Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust. Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. Present to and collaborate with our external partners and stakeholders. Qualifications A great Data Scientist candidate will have: Technical skills, including extensive experience with: Python’s data science packages and general software engineering practices. Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. Cloud computing resources. Building predictive models, applying them to different problems, and evaluating and interpreting the results. Data from a variety of physical systems. Geospatial analyses and visualizations. Technical knowledge: Broad skills in and knowledge of applied statistics and Bayesian inference Substantial understanding of machine learning algorithms Training and work experience: An advanced degree in the physical sciences, engineering, computer science, or mathematics. A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer. Experience leading technical teams to apply novel scientific approaches to core business problems Work practices and motivation: Ability to take ownership and responsibility of large projects. Ability to explain technical problems to and collaborate on solutions with domain experts. Communicates well on a collaborative, cross-functional team. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Ability to independently prioritize multiple tasks effectively. Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world. It is also helpful but not required to have experience with: Creating machine learning models on geospatial data Geostatistics Image processing or computer vision Distributed computing applications for machine learning and other computations What to Expect Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. The US base salary range for this full-time exempt position is $140,000 - $260,000 plus equity and benefits, including 401k match. Location: KoBold is a remote-first workplace. All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, or Botswana. Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.

Location: London Your future role within QRT Your core objective is to create high quality predictive signals. By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. Share and discuss research results, methodology, data sets and processes with other researchers. Implement the signals and the relevant datasets within the global execution platform. Monitor signal behaviour and model performance over time. You would lead the full strategy research cycle from signal generation to implementation. Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. Capacity to multi-task in a fast paced environment while keeping strong attention to detail. Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#). Experience in exploring large datasets across multiple time frames is a plus. Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. Capacity to work with autonomy within a collegial and collaborative environment. Strong capacity to communicate with technologists, data scientists and traders across the globe. Proven track record in delivering successful systematic strategies.

Location: Battle Ground, WA About Maddox Maddox is the nation’s leading provider of electrical transformers to the commercial and industrial market, with primary locations in South Carolina, Washington State, Texas, Idaho, and Ohio. We have been recognized by Inc. Magazine as one of the fastest-growing companies in America for the past 8 years and counting. Maddox was founded on Christian values, and we are serious about investing in the people, processes, and culture that make this a great place to work. We build real things, solve real problems, and expect professionalism, competence, and integrity from our team. Discover more at: https://www.youtube.com/@MaddoxTransformer https://www.maddox.com/ About Maddox + You: As a Yard Coordinator, you will be working outside where your attention to detail will be deployed to safely operate a 30 ton mobile gantry crane as well as a 24,000lb forklift. You will be responsible for: The stocking of transformers in the storage yard in an efficient and orderly manner Loading all outbound shipments Work closely with the Logistics Coordinator to properly record shipment information Perform yard maintenance (cleanup of oil spills, dragging the yard, picking up trash, ect.) Perform daily, monthly, and quarterly inspections of the forklifts and mobile gantry crane This is an ideal role for someone looking to build a career in a positive environment, with an employer who values and recognizes your strong character, stable lifestyle, and dedicated work ethic. More About You: You love working outdoors in all seasons of the year. You work well in a team or independently. You enjoy running heavy equipment. You are focused and have a high attention to detail. You are very safety-oriented. You’re a quick learner; not a know-it-all. Basics: This position works 40-45 hours per week on a 5-day a week schedule. All day-time schedule (not night shift). The schedule is generally 6:00 AM - 4:00 PM. Some additional paid overtime is available during peak times. Employees are required to meet basic physical requirements for a heavy-equipment environment with 90-100% of the time on your feet. Occasional exposure to confined spaces. Must know how to use basic hand tools, follow written instructions, operate a computer or tablet, etc. Paid time-off, paternity/maternity leave, 401k matching, health/wellness benefits, etc. Smoke-free, drug-free workplace. Experience & Education: We value skills and experience, so if you have years of experience, that's great. We’re also willing to invest in training early-career candidates with the right attitude and ambition. Pro Tip: We get a LOT of applicants, so please write a few sentences telling us what stood out to you, and why you think you’d thrive in this particular opportunity. Compensation & Benefits Pay range = (wages + bonus) Comprehensive full-time benefits package averaging $20,000+ per year (amount varies based on age, family size, and eligibility), including: Health & wellness benefits (insurance or cash-in-lieu options) Paid maternity and paternity leave 401(k) with 100% match up to 8% of wages Paid holidays, PTO, and family-life gifts Vision, dental, disability, life insurance, and other voluntary benefits Annual Range $64,000 — $86,000 USD

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)