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Location: Japan Workplace: remote Welocalize is currently seeking a Korean Metadata Specialist for a full-time position in Japan. You will be working remotely as a vendor for a leading consumer technology company, contributing to the finished products released in target markets across the globe. You will evaluate the quality of both written and spoken text for services as it relates to your area of linguistic and geographic expertise. In addition, you may also work on content review and creation for Music and TV applications. You will work cooperatively with international teams to monitor and improve the quality of client products and partner data integrations.   Do you love movies and TV shows? Are you the type of person who just can't resist looking up your favorite movie stars to see what else they've starred in? Then help us make one of the most used TV streaming services accessible to everyone!   JOB INFORMATION: ·       Location: Remote in Japan ·       Full-time employment ·       Start date: Immediately ·       Duration: 12 months (potential for further contract extension) ·       Work Hours and Shifts: 8 hours a day, a standard 40 hours. We have a set shift schedule will be assigned to: Mon-Fri, Tues-Sat, or Sun-Thu.   TEAM & CULTURE: ·       You will work as part of an international team. ·       Your colleagues are industry experts with significant experience in their fields, which means that you will have a strong support network around you. ·       You will work in a transparent and collaborative environment providing you with plenty of opportunities to share and discuss ideas with your colleagues and shape how we work. ·       We are fun, friendly, and most importantly, love what we do. Responsibilities: QA various products in by accurately following testing instructions and test cases Adhere to project-specific quality standards, trademarks, style guides and client-preferred checklists and glossaries Complete assigned tasks in a quality and timely manner Ability to stay motivated and deliver results while working on repetitive tasks Ability to under and prioritize task and issues quickly and efficiently Native level language skills and cultural awareness Drive to deliver results in a fast-paced environment with constantly changing requirements Highly organized with attention to detail and a commitment to quality Ability to navigate ambiguity and make informed judgment calls with information at hand Effective verbal and written communication skills Passion for and knowledge of the film and TV industry About you: Proficient in Korean Proven ability to maintain motivation and solid focus through repetitive tasks Highly detail-oriented with ability to multitask and meet deadlines in a high-pressure environment Sharp problem solving and analytical skills, along with ability to learn from history and prevent errors from recurring Comfortable with navigating ambiguity to make sound judgment call A wide-ranging and up-to-date knowledge of the local movies, TV shows, music, literature, social media platforms, cultural sensitivities and nuance Knowledge of advanced spreadsheet and XML a plus This position may require work outside of normal business hours, on weekends and holidays. Your next step: Apply today for immediate consideration, click the link and send your CV. We look forward to hearing from you!

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: Home based - EMEA Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL,  cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach). We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms. We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations. Location: This role can be filled in European, Middle East and African time zones. What your day will look like The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them. Collaborate proactively with a distributed team Write high-quality, idiomatic Python code to create new features Debug issues and interact with upstream communities publicly Work with helpful and talented engineers including experts in many fields Discuss ideas and collaborate on finding good solutions Work from home with global travel for 2 to 4 weeks per year for internal and external events What we are looking for in you Proven hands-on experience in software development using Python Proven hands-on experience in distributed systems, such as Kafka and Spark Have a Bachelor’s or equivalent in Computer Science, STEM, or a similar degree Willingness to travel up to 4 times a year for internal events Additional skills that you might also bring You might also bring a subset of experience from the followings that can help Data Platform to achieve its challenging goals and determine the level we will consider you for: Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise Experience with Linux systems administration, package management, and infrastructure operations Experience with the public cloud or a private cloud solution like OpenStack Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues twice a year Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is 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 on a daily basis. 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. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. 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. #li-remote

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: 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: Home based - EMEA Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a full range of data stores and data technologies, spanning from big data, through NoSQL,  cache-layer capabilities, and analytics; all the way to structured SQL engines. The OpenSearch team is, among other things, focused on creating the best enterprise automation solution for search and analytics suites like OpenSearch and Elasticsearch. We have a number of openings we are looking to hire across a range of levels.  We will help you identify a suitable position depending on your experience and interests. Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations. Location: This role can be filled in European, Middle East and African time zones. What your day will look like The OpenSearch team is responsible for the automation of OpenSearch operations. This includes ensuring fault-tolerant replication, TLS, installation, and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical.  This role is focused on the creation and automation of features of data platforms, not analysing the data in them. Collaborate proactively with an internationally distributed team Write high-quality, idiomatic Python code to create new features Debug issues and interact with upstream communities publicly Work with helpful and talented engineers including experts in a diverse set of fields Work from home with global travel for 2 to 4 weeks per year for internal and external events What we are looking for in you Proven hands-on experience in software development using Python Proven hands-on experience in distributed systems development Bachelor’s or equivalent in Computer Science, STEM, or a similar degree Willingness to travel up to 4 times a year for internal events Additional skills that you might also bring You might also bring a subset of experience from the following, which will determine the exact role and level we consider you for: Experience operating and managing search and analytics engines like Elasticsearch, Logstash, KIbana, and OpenSearch Experience with Linux systems administration, package management, and operations Experience with the public cloud or a private cloud solution like OpenStack Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is 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 on a daily basis. 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. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. 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. #LI-remote

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.

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 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 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-GO1 #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: Hanoi or Ho Chi Minh City 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: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. What You’ll Bring: PhD. or M.S. degree from a leading university in a quantitative or highly analytical field (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering) Ranked in the top 10% of bachelor’s degree class Demonstrated ability to program in C/C++ on a Unix/Linux platform Excellent problem solving abilities and judgment with a strong attention to detail Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture Strong English language skills; ability to communicate complex concepts in simple terms Possession of an international or regional Mathematical Olympiad medal is a plus What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, unlimited sick days, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-NV1 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: 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: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering problem solver who is motivated by unsolved challenges. What You’ll Bring: Degree (BEng, MSc and PhD) from a top university in a field, such as: Mathematics, Computer Science, Physics, Electrical engineering or equivalent High GPA and academic grades Research mentality: deep thinker, creative, strong work ethic, persevering, smart & a self-starter Programming skills – C++ and Python predominantly, but newer skills welcomed too Strong interest in learning about worldwide financial markets Strong communication skills in English – including both written and verbal As a plus: While not required, a strong interest in financial markets will definitely be beneficial. Prior experience in quant research will count as a big plus Strong record of research achievement – examples include scientific publications, conference presentations, grants or industry awards 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: Seoul 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 : Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. What You’ll Bring: D., M.S., or B.S. degree from a leading university in a quantitative or highly analytical field (e.g. Industrial Engineering, Physics, Computer Science, Mathematics, Financial Engineering, etc.) Excellent academic record Proficiency in C/C++ or Python or in other programming languages Excellent problem solving abilities and judgment with a strong attention to detail Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture Able to communicate in English (written and verbal) What WE OFFER: Understand the connections between advanced mathematical, computational and machine learning methods and their intersection with the modern financial industry Highly competitive compensation Learn from world-leading quantitative researchers Friendly and collegial working environment Opportunity to be promoted to Vice President in 2-4 years; followed by possible global mobility within the firm’s other locations (for the right role and right reasons) Position is based in our Seoul research office. Interested and qualified candidates can apply at Career Listing - WorldQuant . 퀀트 연구원 WorldQuant는 퀀트 전략을 개발하고 활용하여, 글로벌 시장의 다양한 금융자산에 투자하고 있습니다. WorldQuant 고유의 리서치 플랫폼을 통해 금융시장의 비효율성을 활용한 투자 시그널(“알파”)을 찾는데 주력하고 있으며, 이를 위해 전 세계 다양한 팀들이 긴밀하게 협업하고 있습니다. 알파를 찾고 전략을 개발하기 위한 끊임없는 노력이야말로 WorldQuant가 생각하는 지속가능한 글로벌 투자의 토대입니다. WorldQuant는 학문적 탐구를 중시하면서 성과에 대해 책임을 지는 실용적인 문화를 기반으로 성장해 왔습니다. WorldQuant는 구성원들이 문제 해결을 위해 자유롭게 생각하고 토론하도록 장려하며, 구성원들에게 기존의 통념을 깨고 끊임없이 도전하고 발전하도록 독려합니다. 이러한 문화가 산업의 선두를 유지하는데 있어 필수적 요소이기 때문입니다. 저희의 목표는 세계 최고의 퀀트 인재를 채용하는 것입니다. 뛰어난 지성과 탁월한 재능을 갖춘 구성원들과 함께, 미래를 향한 로드맵을 만들어 나가고자 합니다. 직무 : 리서치는 WorldQuant의 핵심입니다. WorldQuant의 연구원들은 다양한 데이터를 분석하고, 이를 통해 끊임없이 금융시장의 새로운 알파를 창출하고 있습니다. 저희는 경쟁사들이 생각지 못한 방식으로 데이터를 이해하고 활용하기 위해 노력하고 있습니다. 이를 통해 높은 예측력을 가진 새로운 시그널을 찾아내기 위해 검증된 기술을 활용합니다. 이렇게 데이터를 수식화하여 만들어진 시그널들은 당사의 퀀트투자 모델의 인풋으로 사용됩니다. WorldQuant가 찾고 있는 퀀트 연구원에 적합한 인재는 글로벌 금융시장의 흐름을 예측하는 모델을 개발하기 위해 리서치 프로세스를 잘 이해할 수 있어야 합니다. 금융 관련 경력이 요구되지는 않지만, 글로벌 금융 시장에 대해 배우려는 강한 의지는 필수이며, 정답이 없는 문제에 대해 창의적이고 끈기있게, 그리고 주도적으로 풀어나갈 수 있는 인재를 선호합니다. 자격요건 : 국내외 유수의 대학에서 정량적, 분석적 분야와 관련된 전공 (예. 수학, 컴퓨터공학, 물리학, 산업공학, 금융공학 등)으로 학사, 석사 혹은 박사학위를 취득하신 분 우수한 학업 성적 C/C++ 또는 파이썬 프로그래밍이 가능하신 분 (또는 기타 프로그래밍 언어 능숙자) 뛰어난 문제해결 능력과 주의 깊은 판단력; 사려 깊으며 팀워크가 가능하신 분 영어로 의사소통이 가능하신 분 (서면 및 구두) 특전 : 고급 수학, 컴퓨터 기술 및 머신러닝 기법을 접목한 금융 산업에 대해 배울 수 있는 기회 업계 상위 수준의 경쟁력 있는 보상 세계 시장을 선도하는 우수한 퀀트 전문가들로부터 배울 수 있는 기회 유연하고 학구적인 근무 환경 2~4년 내에 Vice President로 승격 후 적재적소의 해외 지사로 진출 가능 합격하신 분들은 서울 지사에서 근무하게 될 예정입니다. 관심 있으신 분들은홈페이지( Career Listing - WorldQuant ) 를 통해 지원부탁드립니다. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. 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