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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. About WorldQuant BRAIN: 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. What You'll Do: Develop backend application services and APIs. Integrate systems with AWS and external cloud services. Optimize backend components for speed and scalability. Implement and manage caching, queuing and background processing. Participate in code reviews, technical design discussions and architecture decisions. Be an active member of an agile engineering team who is continuously looking to improve team performance. Work with leading cloud technologies (such as AWS, GCP). Work with leading open-source technologies (such as MySQL, PostgreSQL, ELK stack, Sentry, Redis, Git, etc.). Leverage modern AI tools and practices to increase developer productivity. Participate in periodic on-call duties. What You’ll Bring: 2+ years demonstrated experience developing scalable and robust software. Passion about software engineering, be strongly driven to build and run real-world applications at scale. Eagerness to learn and introduce new technologies. Be curious about what's happening in the tech world. Excellent coding skills, solid understanding of the broad Python ecosystem including Numpy, Pandas and Asyncio. Expertise in Python web frameworks such as Django, DRF, Flask or others. Experience with SQL databases (MySQL, PostgreSQL), including schema design, query optimisation and migrations. Experience with microservices, caching tools, data visualization, log collection and aggregation, search, queuing systems. Experience with Linux environment and shell scripting. Excellent debugging and problem solving skills. 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, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events, 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-VP1 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.

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.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group builds the software that enables large‑scale quantitative research at the core of WorldQuant’s platform. We are embarking on a multi‑year effort to develop a powerful, scalable, and efficient platform that will support the firm’s growth over the next decade. We are looking for someone who can take ownership of complex technical challenges and bring strong experience, judgment, and perspective to the team. What You’ll Bring: At least 7 years of experience writing production‑quality Python code on Linux Willingness to learn C++ is required; prior experience with C++ is a strong plus Strong interest and motivation to work with machine learning, deep learning, and backtesting platform design and development(Prior experience is not required but is considered a strong plus) Solid understanding of Linux system programming fundamentals Proven ability to design and develop large‑scale, distributed systems Strong knowledge of data structures, algorithms, high‑performance application design, and concurrency patterns Self‑motivated and able to work independently with minimal guidance Proficiency in English Nice to Have: Systems for managing and performing computation on large‑scale graph data Streaming or dataflow systems Experience in financial services (not required) 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, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – 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-VP1 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.

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.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 7 years of writing production-quality code in Python on Linux platform Candidate must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams #LI-DN1By 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.

About BTSE: 彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms. 彼特思方舟 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market. BTSE Group is a leading global fintech and blockchain company that is committed to building innovative technology and infrastructure. BTSE empowers businesses and corporate clients with the advanced tools they need to excel in a rapidly evolving and competitive market. BTSE has pioneered numerous trading technologies that have been widely adopted across the industry, setting new benchmarks for innovation, performance, and security in fintech. BTSE’s diverse business lines serve both retail (B2C) customers and institutional (B2B) clients, enabling them to launch, operate, and scale fintech businesses. BTSE is seeking ambitious, motivated professionals to join our B2C and B2B teams. About the opportunity: We are looking for talented and motivated individuals to join a dedicated and diverse team in building up an exciting new product. We offer a fantastic culture and great career prospects.ResponsibilitiesCollaborate with team members on designing, developing, and unit-testing new features and modifications Design data structures and utilize appropriate design pattern to model and Implement business logic Strong problem solving and analytical skills Document source code and generate readable API documentations RequirementsDegree in CS or equivalent field 4+ years of professional experience in backend development Proficient in Javascript (TypeScript would be a plus) Proficient in any of the Node.js application framework technology (eg. express, koa, ...) Good understanding of asynchronous programming and data structures Experience in integrating with multiple data sources and databases (Relational and No-SQL) Positive attitude and willingness to work in a fast pace environment Master software engineering tools like Git, Jenkins, YARN or NPMPerks and BenefitsCompetitive total compensation package Various team building programs and company events Comprehensive healthcare schemes for employees and dependants And many more! Apply and let us tell you more!#LI-MC1

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.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable. What You'll Bring Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems. Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Expertise in version control systems (Git), CI/CD practices, and agile methodologies. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Experience in the finance industry is a plus but not required. Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus. #LI-DN1By 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.

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.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Participate in the development and maintenance of our large-scale, distributed storage platform. Interface with the users of the system to understand their use-cases and assist them in making the best use of our tools and platforms Research best practices and propose feature specifications for our platform roadmap Develop and maintain features and tools that complement our core platform offering What You'll Bring: University Degree, preferably in Computer Science, Electrical Engineering or related fields. At least 5 years of work experience. Strong (English) communications skills and experience working in a global environment Expertise in Software Life Cycle management methodologies and tools, including Git and JIRA (required) Expertise in C/C++, and/or Go and/or Python (at least one required) UNIX/Linux (required). Knowledge on the design and development of large-scale, distributed storage systems (desirable) What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams #LI-MH1By 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.

微程式（Microprogram，股票代號7721），為具備跨產業技術整合能力的產業資通訊共通設計中心​（ICT Design House​）。我們從產業需求設計、服務設計、解決方案規劃到軟硬體設計與開發，提供垂直式整合服務，透過智慧科技，協助交通、金融、零售、半導體製造、自行車等產業夥伴進行創新升級。目前聚焦於「電子支付、智慧設備、半導體感測控制」三大核心發展領域。 ▍團隊介紹 此職務隸屬於自動化測試團隊，專注於開發產品團隊的輔助工具與服務，並打造自動化、數據導向的測試流程，讓品質不只是達到標準，而是團隊的 DNA。在這裡，你不僅是工具的開發者，更是技術創新的推動者！ 隨著公司產品與開發規模持續成長，我們希望培育具備技術深度與跨域潛力的人才作為儲備幹部。期待你在團隊的系統化培訓與實戰歷練中，逐步成長為未來能主導自動化品質流程、推動測試效能提升，並具備帶領團隊能力的核心管理角色。 你將同時累積「功能開發」與「測試自動化」的經驗，與團隊攜手運用專業與創意，主動發現並解決問題，持續推動產品品質不斷進化！ ▍工作內容 參與產品團隊之內部輔助工具及服務開發，撰寫並維護程式碼。規劃並撰寫自動化測試，確保系統穩定性與品質。建立並優化測試流程，與 CI/CD 整合。協助團隊改善程式品質（Code Review、測試覆蓋率提升）。 ▍必備條件 熟悉 Python 程式設計（亦具備 JavaScript開發經驗者佳）。熟悉 Git 版本控制及協作流程。熟悉至少一種資料庫（MSSQL、MySQL 等）。 ▍加分條件 曾使用過自動化測試框架（如 Selenium、Playwright、Cypress、pytest 等）。曾使用過 Flask/FastAPI RESTful API 框架。有 CI/CD 或 DevOps 經驗。具前端或後端開發，熟悉跨團隊協作。 ▍人格特質 擁抱改變：對技術創新有敏銳洞察力、樂於學習，並具有推動變革與快速應用的熱情。擅於溝通：具備良好溝通能力與說服能力，能與團隊成員有效協作。主動積極：勇於接受挑戰，並能以正向積極的態度面對不同的商業模式與需求。 ▍關於我們的文化 在微程式，我們相信好的產品與服務來自彼此信任、坦誠溝通與持續共創。我們擁有： 開放的企業文化：團隊年輕有活力，熱愛想法激盪、討論與付諸實現。開創性工作內容：創新、創意是我們的DNA，不斷追求產品更加卓越。夥伴的價值共創：我們深信 1+12，團隊夥伴並肩共創走的更快更遠。

【工作職責】 您將加入我們的核心開發團隊，負責銜接後端數據與前端呈現。這是一個結合 Web 開發與數據處理的角色，重點在於將複雜的資料轉化為具價值的視覺化資訊。 數據中台開發：負責中介層 (Middle-tier) 的設計與實作，將後端原始數據進行清洗與轉換 (Data Wrangling)，以供前端介面使用。API 服務建置：開發高效能的 Backend API Server，並實作數據追蹤 (Web-tracking) 與資料蒐集模組。專案協作：參與中大型專案的開發週期，與前端工程師緊密配合，定義資料介接規格，並定期匯報開發成果。

▋▍About Us｜關於我們（醫療 X 科技） 用代碼，守護全球百萬人的健康數據。 慧康生技（Health2Sync, 7851）是亞洲領先的數位健康團隊。我們的 Web 團隊負責集團核心的雲端服務，涵蓋從前端、後端到維運（DevOps）的全方位架構。我們不只專注於系統設計，更重視與 App、設計、專案團隊之間的透明溝通。 在慧康，我們相信穩定的後端架構是高品質醫療服務的基石。如果你熱愛技術挑戰、追求持續進步，並希望能將你的 Coding 專長應用於改善慢性病管理的真實場景中，歡迎加入我們！ ▋▍Why Join Us｜為什麼加入我們 影響力規模化：你的代碼將支撐全球超過百萬名使用者的健康管理，處理海量的生理數據與即時分析。開放的技術文化：我們追求溝通透明與持續學習，鼓勵團隊分享經驗、嘗試新工具，共同打造更好的工程師文化。跨國雲端架構實戰：在 AWS/GCP 混合雲環境中，優化高併發、高可用的後端服務，累積處理複雜醫療數據的技術門檻。健康與技術的交匯：參與數位療法（Digital Therapeutics）的開發，讓你的技術職涯不僅有深度，更有社會價值的溫度。 ▋▍Role Highlights｜職缺亮點 高品質的代碼環境：我們不只要求功能動起來，更追求代碼的優雅與系統的強韌，這裡是技術控的遊樂場。真正的透明溝通：沒有官僚、沒有資訊孤島。在 Web 團隊，你可以直接了解從產品需求到運維部署的全貌。跨域成長的舞台：你將學會如何將技術應用於嚴謹的醫療場景，這份「醫療法遵 x 雲端架構」的組合技是未來的熱門趨勢。有趣且專注的同儕：與一群同樣熱愛技術、喜歡幽默互動的夥伴一起工作，在解決複雜難題時也能保有好心情。 ▋▍Responsibility｜主要職責 架構設計與優化：開發、維護並持續優化後端功能與伺服器架構，確保系統的高可用性與擴展性。跨團隊技術溝通：與 App、Frontend 團隊共同規劃 API 介面與服務框架，建立流暢的資料互動機制。開發品質把關：實踐高品質的代碼編寫，參與 Code Review，並編撰技術文件以維持系統的可維護性。流程效能增進：持續探索並導入新工具、新架構，優化開發流程並提升團隊工作效率。問題排除與修補：主動發現並定位系統瓶頸，針對後端問題進行深度分析與排除。 ▋▍Media Coverage｜媒體報導 《環球生技月刊》慧康生技明掛牌興櫃 《今周刊》打造智抗糖 App 攻入慢性病平台 《數位時代》台灣新創進軍韓國 《今周刊》慧康創業背景 《天下雜誌》台灣第一數位療法

【Company Highlights】 🫧AI-oriented startup aims to build and deployConversational AI products🫧 Diverse team with strong skill sets and cross-national exposure🫧 Fully-remote working environment and flexible company culture【Responsibilities】Write reusable, testable, and efficient code.Design and implement low-latency, high-availability, and performant applications.Integrate user-facing elements developed by front-end developers with server-side logic.Implement security and data protection measures.Integrate data storage solutions effectively.Perform performance tuning, improvement, balancing, usability enhancements, and automation.Collaborate closely with the design and product teams to understand end-user requirements and provide technical solutions.Implement new software features based on user requirements.