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Job Title: Quantitative Researcher Company: Block River Technologies Location: Remote/Hybrid Company Overview Block River Technologies is a quantitative research and technology firm. Block River Technologies develops advanced mathematical models and innovative technology solutions to analyze global financial markets. Its founders have extensive experience in the financial industry and advanced degrees in science, technology, engineering, and mathematics from the world’s leading universities. We are currently seeking talented, articulate, highly-motivated candidates who will contribute to the design, development, and maintenance of automated trading systems, quantitative research tools, high-performance data management systems, portfolio management tools, and technical architecture/infrastructure. The responsibilities of new hires will span a wide variety of programming, data analysis, statistical and other quantitative projects. These projects often range in duration and programming environment. This position will have a high degree of autonomy as well as responsibility in the design, direction, and approach in these tasks. We believe in a casual and collaborative atmosphere in which the candidate can become an integral part of a smaller team. This position allows for a high degree of freedom as well as the ability to be actively involved in the solutions to a variety of challenging problems. While the work is rigorous and demands a high level of commitment, the firm maintains an open, cooperative and collegial atmosphere. Job Responsibilities • Develop quantitative trading strategies using statistical models to capture market inefficiencies • Assist senior strategists in research and management of quantitative strategies • Build algorithms, models, and tools to: o Facilitate quantitative research and production trading o Analyze/manage large data sets to improve profitability o Evaluate and optimize trading strategies and signals o Implement quantitative methodologies for portfolio optimization and risk management o Test hypotheses about markets and simulate trading strategies • Research and backtest trading strategies in areas such as: o Basis trading o CTA / trend-following o Volatility trading (e.g., covered calls, gamma scalping) • Evaluate new methodologies and technologies to improve research and production trading environments, system performance, and functionalities • Generate reports to explain quantitative research results to management and evaluate strategy risk/performance • Maintain technical documentation of procedures, models, and programming work • Operate, troubleshoot, and debug software in a fast-paced environment

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.

Role OverviewWe are seeking an experienced Machine Learning Researcher to join our research team. This role requires expertise in designing and deploying deep learning models within high-performance, low-latency trading systems. You will be working on developing robust, scalable models and integrating them into our trading infrastructure.Responsibilities Data Analysis Preprocessing: Understand and preprocess orderbook data.Deep Learning Model Design: Design models for time-series and orderbook data (Transformers, RNNs, CNNs, Attention).Scalable Training Implementation: Implement parallelized data loading pipelines.Feature Engineering: Develop and optimize orderbook features using C++.Backtesting Evaluation: Conduct rigorous backtesting across markets.Production Integration: Deploy models into real-time, low-latency systems.

This role is directed at graduates seeking a July 2026 start date. What you can expect: Kickstart your journey with a focused training program to quickly get you up to speed with our systems and processes.Gain hands-on experience in real-life research projects Enhance your analytical skills by working with large datasets provided by the company to uncover insights.Learn to prioritize key findings and turn them into actionable solutions.Take ownership of your ideas and contribute to innovative strategies from day one.Be part of an environment that encourages creativity, innovation, and exploration without boundaries.Why you should join us:Working at one of the most competitive quant trading firms in the crypto space.Engaging projects offering accelerated responsibilities and ownership.Great company culture emphasizing Meritocracy, Urgency, Team, Integrity and InnovationCompetitive compensationLocation and Onboarding RequirementTo ensure comprehensive onboarding and integration into our team, qualified overseas candidates will be required to attend the program at our HQ Taiwan office for a period of 12 months.Candidates are expected to onboard as batches, exact date will be further discussed

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.ResponsibilitiesDesign, research, and validatesystematic alpha factorsacross price, order book, funding, flow, and microstructure dataBuild and maintain astructured alpha research pipeline(data → feature → signal → evaluation → iteration)Conduct factor analysis includingIC, IR, decay, stability, regime sensitivity, and turnover analysisCollaborate with engineering teams to ensureresearch outputs are production-readyContinuously iterate and improve existing alpha signals, even if historical performance has decayedExploreAI-assisted research workflowsfor factor generation, feature selection, and hypothesis exploration (bonus)Requirements3+ years of quantitative research experiencein systematic trading, alpha research, or related fieldsStrong proficiency inPython, with hands-on experience usingJupyter Notebookas a primary research environmentSolid understanding of theend-to-end alpha research process, including: Data cleaning normalization, Feature engineering, Factor construction, Signal evaluation validation.Have built and operated acomplete alpha research framework(personal or professional)Proven experience discovering alpha factors withstrong historical predictive power, e.g.: 1.Information Coefficient (IC)consistently above0.05–0.1on daily frequency or higher IC on lower-frequency signals with reasonable stability (factors that later decayed are acceptable, as long as the original research process was sound)Strong analytical thinking and ability to explainwhy a factor works, not just that it worksNice to haveExperience usingAI / ML models(e.g. tree models, neural networks, representation learning) for alpha researchHands-on experience withlocal deployment of AI models(not just calling APIs)Familiarity with AI-assisted factor discovery workflows (feature generation, signal screening, regime detection, etc.)Background in crypto, derivatives, or high-frequency / microstructure-driven markets#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.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 focusing on Quant Macro signals research. 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, specialized in futures contracts or Macro asset classes – Commodities, FX, Interest Rates, or Equity Indices. 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: Degree (BEng, MSc and PhD) from a top university in a field, such as: Mathematics, Computer Science, Physics, Electrical engineering, Financial Engineering that is highly analytical or equivalent Expertise in the typical quantitative research toolkit: data processing, modeling, and visualization in python, R, or C++ Experience with futures contracts or Macro asset classes – Commodities, FX, Interest Rates, or Equity Indices–is not required, but is a significant plus. High GPA and academic grades Research mentality: deep thinker, creative, strong work ethic, persevering, smart a self-starter Strong interest in learning about worldwide financial markets Strong communication skills in English As a 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.

我們的遊戲系統是一個提供夢幻體育（Fantasy Sports）遊戲的系統。我們會與世界各大體育聯盟合作，以球員在場上的真實表現與玩家挑選球員的眼光來進行遊戲。 我們非常重視產品的使用者體驗，使用者研究將應用於產品開發的各個階段，UX 研究員將負責執行這些研究，協助團隊深入理解使用者需求，並將研究結果轉化為具體的產品優化建議。歡迎您成為團隊一份子！ 您的工作內容將包含： 撰寫研究文件，例如訪談大綱、任務流程、篩選問卷等負責受測者招募與聯繫，處理排程與相關行政安排主持並執行訪談、可用性測試、概念測試等整理與分析研究資料歸納研究洞察與使用者需求根據閱讀對象，產出研究結果報告協助建立並維護團隊內部的研究資料庫與知識系統

For Taipei candidates: Google welcomes people with disabilities.Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.;Google welcomes people with disabilities.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Singapore; Puyan, Puyan Township, Changhua County, Taiwan.Minimum qualifications: Bachelor's degree in Engineering, a related technical field, or equivalent practical experience. 12 years of experience in mission critical facility design and construction environments. Experience working with cross-discipline teams (e.g. structural, civil, IT/Telecom, security, mechanical, architectural). Experience in people management with an emphasis on technical leadership. Preferred qualifications: Master's degree in Engineering, Business or other relevant field or a professional engineering license or a Professional Engineering (PE) license. Experience in leading a data center facility and equipment design with multiple iterations of delivering exceptional solutions to production. Experience with cross-functional teams (e.g., structural, civil, IT/Telecom, security, mechanical, architectural). Experience with complex, multi-discipline engineering projects. Ability to navigate ambiguity and succeed at a fast pace of change. Ability to work within large, global, fast faced and cross-functional engineering organizations. About the jobOur thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.Through your leadership, you use your technical expertise to lead cross-functional teams to develop infrastructure improvements. You manage a team of engineers and assign Googlers to projects based on their capabilities and the project's demands. The Research and Development (RD) Engineering team leads the design for Google’s global data center components from the utility to the IT rack. As the Regional RD Lead for APAC, you will be the point of contact for designs and components localized to Asia Pacific region.In this role, you will be responsible for leveraging Google’s unique strengths by partnering with Regional Engineering execution and delivery, construction, operations, platforms, supply chain partner teams to drive programs to completion and distill lessons learned and best practices related to designs and components.You will also collaborate, lead and inspire regionally optimized design solutions that improve speed to capacity, and lower costs while maintaining safety and security governance requirements, coordinating closely with other Regional RD Leads and central RD teams.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Define data center system-level, product architecture, and Research and Development, while helping to develop operations and maintenance procedures for systems/processes. Localize system-level architectures for new Data Center designs, products and ensure designs and installations meet requirements (e.g., predicted cooling, structural, operational concerns, etc.). Report and synthesize on regional constraints, requirements, and best practices in Data Center design and constructability.  Coordinate between local engineering execution teams, construction and site acquisition partner teams, and central (U.S.. based) RD Engineering leads. Lead a team of individuals, set and communicate individual and team priorities that support organizational goals. Meet regularly with individuals to discuss performance, development, and provide feedback and coaching. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Quantitative Research Summer Analyst This is an onsite internship based in Taipei and is not eligible for immigration/visa sponsorship. Full-time commitment is required for the duration of the internship. What can you gain from the internship? As a Summer Analyst Intern, you will be embedded within a trading team and work closely with experienced quantitative researchers and traders. You will contribute to real, production-relevant research projects while gaining hands-on exposure to quantitative trading workflows. Your work will directly support strategy development, trading decisions, and system performance. Top-performing summer analysts could earn a return offer to the QR Graduate Program! What You’ll Do Begin with a structured onboarding and training program to help you quickly get familiar with our systems, tools, and workflowsWork hands-on on real research projects, with guidance from experienced researchers, gaining practical exposure to applied quantitative researchAnalyze large-scale datasets to uncover meaningful patterns and generate insightsLearn how to distill complex analyses into clear, prioritized takeaways and translate them into actionable solutionsTake ownership of your ideas and contribute to strategy development from an early stageJoin a collaborative environment that values curiosity, experimentation, and learning, with support available when you need it

Job Description We are looking for an intelligent, motivated, and highly organized Personal Assistant. This role will provide secretarial, confidential, and professional support (accounting preferred) to the C-level executives, streamlining their personal and professional lives. The position requires strong organizational skills, a service-oriented mindset, and flexibility to handle diverse challenges. As a dedicated and diligent Personal Assistant, you will understand executive preferences, learn their thought processes, and develop problem-solving skills. This role will report directly to the executives. Responsibility Handle a wide range of personal or family-related mattersManage expense claims, calendar arrangements, logistical support, and book and arrange domestic or international travelEffectively prioritizes the needs of the executive follows up on ongoing activities and processes, and provides reminders of deadlinesResearches and assembles information and materials on a wide range of topics, including but not limited to business, tax, and law-related matters (such as relevant policies, procedures, and regulations), presenting findings and recommendationsCoordinate with internal and external parties, liaising between agencies, government departments, and entities outside the organizationAssist with other support needs