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About Us We are a pioneering think tank composed of mathematicians, scientists, engineers, and physicists. Our mission is to model the world through advanced research and innovative methodologies, leveraging our expertise to explore complex systems and drive transformative solutions. We delve into the unknown, seeking to understand and redefine the boundaries of knowledge across various domains. Position Overview We are looking for an execution-oriented postgraduate intern with a background in Mathematics, Science, Physics, Statistics, Economics, or Engineering. The intern will assist in research, analysis, writing academic papers, and creating presentation decks that contribute to our project initiatives. The project is expected to last a couple of months or more, with ongoing maintenance responsibilities thereafter. Exceptional interns may have the opportunity to join the team full-time based on performance. Key Responsibilities Conduct thorough research on complex systems and related topics.Assist in drafting and editing academic papers and articles for publication.Develop and design presentation decks for internal meetings and external stakeholders.Collaborate with team members to analyze data and trends relevant to our projects.Participate in brainstorming sessions, contributing innovative ideas to enhance project outcomes.Create mathematical models and simulations using MATLAB and other modeling tools to support research and analysis.

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

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: PhD degree in Computer Science, a related field, or equivalent practical experience. One of more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: Experience in a university or industry labs, with primary emphasis on AI research. Understand of transformer architecture internals. Ability to drive new research ideas from problem abstraction, designing solution, experimentation, to productionisation in a rapidly shifting landscape. Excellent technical leadership and communication skills to conduct multi-team cross-function collaborations. Passionate for deep/machine learning, computational statistics, and applied mathematics. About the jobAs an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Google Research Singapore is the very latest addition to the Google Research presence around the globe! As a Research Scientist, you will be making significant breakthroughs towards Computational Efficiency of large-scale Generative AI Models (LLMs, Diffusion Models, Generative Videos).Through foundational research, the team will deliver research on algorithmic efficiency, model compression, and inference acceleration, directly impacting how next-generation AI models will be deployed to billions of people.Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.Responsibilities Advance algorithms, sampling techniques and large-scale optimization to make serving and inference of generative AI models more efficient and flexible.This includes model compression, knowledge distillation and quantization strategies. Innovate algorithms and large language model architectures that improve computation efficiency and generalization of training deep learning models. Improve the end-to-end model deployment pipeline that includes entirely new formulations of pretraining, instruction tuning, reinforcement learning, thinking and reasoning. Collaborate with hardware and software teams to optimize kernels and inference engines, across different hardware and model architectures. Optimize latency, memory bandwidth, workloads. 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.

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

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Experience developing low-level systems software. Experience with the Rust programming language. Experience with generative AI and AI agents. Experience with BPF and the linux kernel. A record of published research papers at high-impact venues in systems or programming languages or AI/ML. About the jobA line of code can be many things - an amazing feature, a beautiful UI, a transformative algorithm. The faster this line of code reaches millions of users, the sooner it impacts their lives. As a Software Engineer, Tools and Infrastructure, you will be at the heart of Google’s engineering process building software that empowers engineering teams to develop and deliver high quality products quickly. We are focused on solving the hardest, most interesting challenges of developing software at scale without sacrificing stability, quality, velocity or code health.We ensure Google's success by partnering with engineering teams and developing scalable tools and infrastructure that help engineers develop, test, debug and release software quickly. We impact thousands of Googlers and billions of users by increasing the pace of product development and ensuring our products are thoroughly tested. We are advocates for code health, testability, maintainability and best practices for development and testing.Having access to all of Google's platforms and vast compute resources provides a unique opportunity to grow as an engineer. We typically work in small, nimble teams that collaborate on common problems across products and focus areas. As a result, the exposure to this broad set of problems provides technical challenges as well as accelerated career growth. In this role, you will be part of an ambitious, high-impact project to transform critical infrastructure at Google using state-of-the-art techniques from operating systems, programming languages, and machine learning. The project is part of Google’s investment in innovative AI agents and systems for language translation to enhance the security, software engineering, and continuous improvement of its system software infrastructure.Responsibilities Explore emerging technologies and systems as an individual contributor in the research and development team. Participate in a team to carry out system design, analysis, and building of prototypes to demonstrate advantages and reveal challenges of these technologies for critical, large-scale applications. Create strategies that will help the team navigate a complex and challenging problem. Operate across Research and Engineering teams. 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: PhD degree in Computer Science, a related field, or equivalent practical experience. 2 years of experience leading a research agenda. One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: 5 years of experience in driving new research ideas from problem abstraction, designing solutions, experimentation, to productionization in a rapidly shifting landscape. Understanding of transformer architecture internals. Passion for deep/machine learning, computational statistics, and applied mathematics. Excellent technical leadership and communication skills to conduct multi-team cross-functional collaborations. About the jobAs an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Google Research Singapore is the very latest addition to the Google Research presence around the globe.As a Research Scientist, you will be making significant breakthroughs towards Computational Efficiency of Generative AI Models (e.g., LLMs, Diffusion Models, Generative Videos). Through foundational research, you will deliver research on algorithmic efficiency, model compression, and inference acceleration, directly impacting how next-generation AI models will be deployed to billions of people.Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.Responsibilities Advance in algorithms, sampling techniques and optimization to make serving and inference of generative AI models more efficient and flexible.This includes model compression, knowledge distillation and quantization strategies. Innovate algorithms and large language model architectures that improve computation efficiency and generalization of training learning models. Improve the model deployment pipeline that includes entirely new formulations of pretraining, instruction tuning, reinforcement learning, thinking and reasoning. Collaborate with Hardware and Software teams to optimize kernels and inference engines, across different hardware and model architectures. Optimize latency, memory bandwidth, and workloads. 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.

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.

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 looking for a dedicated and motivated Project Manager who will be responsible for shepherding global Research initiatives. The Project Manager will be a key member of the leadership team of the project, coordinating activities with various global managers and leaders. If you have excellent people skills, business acumen and exemplary work ethics, we’d like to meet you. The goal of the Project Manager role is to secure the functionality of the project to drive extensive and sustainable growth. Job Responsibilities (include, but not limited to the following): Discuss/Justify/Convince/Coordinate activities with various senior and mid-level managers in various functions, in order to shepherd and expedite good ideas into decision/action/reality. Initiate discussions to help bring to light issues of the project, identify solutions, and lead and shepherd the implementation of those solutions. Collaborate with project leaders in setting and driving organizational vision, operational strategy, and hiring levels for the project. Develop actionable project strategies and plans that ensure alignment with short-term and long-term objectives developed in tandem with project leaders. Translate strategy into actionable steps for growth, implementing project goal setting, performance management, and operations planning of the project. Build and maintain positive relationships and drive collaboration with various colleagues to ensure successful execution and delivery of projects Perform regular assessment of project execution to identify areas for improvement To coordinate with internal resources across functions, ensuring project remain within scope, schedule, and defined budgets, in collaboration with project staff from various functional departments Provide project updates on a consistent basis to various stakeholders about strategy, adjustments and progress Develop and maintain project plans documentation, report on project progress and risks to management What You’ll Bring: Hold a Bachelor’s degree or advanced degree(s) from a leading university 5+ years of experience as a Project Manager or in similar role Experience as a team leader Excellent verbal and written communication skills Fluent in spoken and written English Self-starter: has shown an ability to set up initiatives and see them to the end without supervision. Proven ability to solve problems creatively Strong familiarity with project management methodologies and best practices Experience seeing projects through the full life cycle Excellent analytical skills Strong interpersonal skills and extremely resourceful Proven ability to complete projects according to outlined scope, budget and timeline Ability to diagnose problems quickly and foresee potential issues Ability to multitask, work independently and as an integral member of the team with minimal supervision Any of the following would be an added bonus: Experience in business management Experience in the quant or finance domains What We Offer: Competitive financial compensation Friendly and collegial working environment Flexible working hours Competitive employee benefits A culture of continuous learning 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.

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