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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. 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.
Negotiable
No requirement for relevant working experience
At SWAG Live's data team, our mission is to democratize data by building a self-service data platform. We aim to empower internal teams to access, interpret, and derive valuable insights from data effectively.As a Data Scientist in this role, you will collaborate with a multidisciplinary team of engineers and analysts to tackle diverse challenges using quantitative techniques such as statistical analysis and machine learning. You will work with large, complex event-based datasets, conduct exploratory data analysis (EDA), define requirements, and develop deploy models. We are particularly seeking a data scientist with experience in building customized recommendation models and a strong interest in product-focused machine learning development. Responsibilities Leverage state-of-the-art algorithms to build fully customized recommenders and other growth models.Design, deploy and maintain all components necessary for modeling, including feature engineering, automatic model training tuning and engineering toolchains.Create a comprehensive monitoring framework to evaluate model performance and provide actionable insights to drive business growth, focusing on awareness conversion and transactions.Understand stakeholder business requirements and design end-to-end machine learning/AI solutions that are effective, practical, and robust in addressing business challenges.Collaborate closely with data engineers and backend engineers to develop scalable systems.Communicate efficiently with cross-functional teams, promote the implementation of strategic applications, and drive continuous optimization.
Negotiable
3 years of experience required
No management responsibility
Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience in program management. 2 years of experience designing, constructing, or managing infrastructure projects. Experience creating infrastructure designs (e.g., telecom, electrical, mechanical), drawing sets for builds, and remodels of data center networking spaces. Preferred qualifications: Bachelor's degree in Electrical Engineering, Mechanical Engineering, or Computer Science or equivalent practical experience. 5 years of experience with technical program management. Experience with two or more of the following: data center design, network hardware and software, data center infrastructure and operations or mechanical and electrical systems. Experience managing programs through the entire program management cycle. Experience with AutoCAD. Excellent problem-solving and quantitative skills, with the ability to report out on process improvements, issues, and program highlights. About the jobThe 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 team 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 Design and optimize the physical layout of data center floors, ensuring efficient use of space and resources. This includes placement of server racks, network equipment, power distribution units (PDUs), and cooling systems. Design cable tray systems to support data and power cabling for server racks and other equipment.  Calculate power requirements for server racks and other equipment, taking into account redundancy and future growth. Collaborate with electrical engineers to design power distribution systems. Determine optimal placement and configuration of server racks, ensuring adequate airflow, bus duct accessibility, optimal network cable routes and maintenance accessibility. Develop detailed 2D and 3D drawings using Computer-Aided Design (CAD) and Building Information Modeling (BIM) software. 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.
Negotiable
No requirement for relevant working experience
【 Application Channel 】Please apply via:https://grnh.se/cul1yzf33us【 About the company 】At Tomofun, we LOVE pets and technology. Our vision is to bring joy and innovation to every pet lover in the world.We are pioneers in the pet tech industry. Our debut product, Furbo - the world's first AIoT treat-tossing pet camera, is the #1 bestseller on Amazon in 15 countries including the US, UK and JP and have millions of users in 133 countries. In 2019, we launched an AI powered subscription service, the Furbo Pet Nanny which sends smart alerts to our users to notify them to check on the safety of their furbabies when they are home alone. Since the launch of Furbo Pet Nanny, we have saved hundreds of pets' lives and are continuing to innovate and develop new features with our state of the art technology.The learning curve is steep. But the work is exhilarating. Tomofun is on the cusp of a pet-tech boom and we’re looking for smart, innovative thinkers who aspire to incredible things.【 About the role 】We are looking for a Senior Analytics Engineer to join our centralized data team and take ownership of domain-level data modeling, metric standardization, and dashboard delivery that power both product innovation and business growth.You will collaborate closely with engineers, product managers, and data scientists — actively participating in product development scrums — and will play a critical role in designing data instrumentation, enabling trustworthy insights, and scaling decision-making infrastructure.【What You’ll Do 】・Design and maintain tracking plans across our data ecosystem, including naming conventions, event schemas, and user properties.・Build and maintain data pipelines in Databricks using Python, Spark, SQL with Delta Live Tables (DLT).・Define, implement, and document core business metrics (e.g. churn, MRR, engagement, conversions) at the data model layer.・Own and develop Tableau dashboards, delivering clear and actionable insights to business and product stakeholders.・Collaborate with Data Scientists to integrate model outputs (e.g. churn scores, segmentation) into production-ready datasets and reporting.・Support self-service analytics and ensure consistency and clarity in metric definitions.・Leverage AI tools (e.g. ChatGPT, GitHub Copilot, or internal automation) to enhance productivity and improve modeling workflows.・Ensure data quality, governance, and documentation across all owned datasets and dashboards. 【 Perks 】 .The rare opportunity to work with an international team from Taiwan HQ and make impact on a global scale.Join a group of talents who have passion to change pet parents and pet's lives through technology.The freedom to voice yourself in an open, trusting and transparent working environment.Quarterly all-hands meetings to update entire organization on company goals, strategic directions and the opportunity to openly ask questions/give feedback.Bring your fur babies to work in a pet-friendly office space designed to make your pet feel relaxed and comfortable.Join our volunteer program. We are passionate about giving back to society..Various club activities to cultivate interests and have fun with Tomofuners after work!.A LOT of free snacks and drinks for humans and furkids!.Comfortable and creative office with kitchen, sofa, and quiet areas. Everyone can find their ideal place to work!.Afternoon tea time twice a month and monthly birthday parties. We celebrate all the happy moments together. 【 Benefits 】 .Unlimited vacation policy; work hard and take time off when you need it.Flexible working hours and work from home once a week.Medical insurance and free yearly health checkup.Yearly health checkup subsidy for your pets.Weekly grooming service for your fur babies.2 free Furbos for each full-time team member.Internal training workshops and external training subsidies for you to expand your skill set and continuously learn and grow
Negotiable
3 years of experience required
No management responsibility
Job Summary: We’re looking for a Strategic Partnerships Manager, a business development-minded professional with a light marketing background who enjoys beverages, understands product positioning, and can confidently demo our Botrista system to partners and customers. This role bridges business development, numbers-driven decision making, and brand storytelling. You’ll help evaluate opportunities, build financially sound business cases, and drive strategic partnerships to support Botrista’s global growth! Responsibilities: Conduct product demos and deliver clear value propositions to potential customers and partners.Support business development activities, including lead qualification, partner communication, pricing review, and proposal coordination.Analyze data and unit economics to identify opportunities that drive sustainable profit for Botrista.Assist with marketing tasks: market research, campaign execution, basic content review, and brand alignment.Develop business plans or business cases that include volume estimates, margin modeling, and ROI analysis.Coordinate with internal teams (Marketing, Operations, Finance, Service, Engineering) to ensure smooth customer engagement.Build and maintain strong relationships with external stakeholders, representing Botrista at events or site visits.Track business development activities and maintain accurate documentation in our internal systems.
Strategy Development
Strategic Partnerships
Sales & Marketing
1M ~ 2M TWD / year
8 years of experience required
No management responsibility
Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience. 7 years of experience in financial planning and analysis (FPA), consulting, or a related function, or an advanced degree. Experience with spreadsheet tools, finance processes and financial modeling. Ability to communicate in Mandarin and English fluently to partner with local clients and region partners. Preferred qualifications: Experience in developing strategies in fluid competitive environments, impeccable business judgment for resource allocation decisions to achieve the desired business outcome. Experience collaborating with international or distributed teams, demonstrating flexibility to accommodate varying time zones. Ability to work with data to produce analysis, influencing decision-making with numerical analysis and generating insights. Ability to take ownership, confidence to interact with all levels, set objectives, drive results, and be a team player. Excellent communication skills with the ability to work with various departments. About the jobFinancial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. While working on multiple projects at a time, you are focused on the details while finding creative ways to solve big picture challenges. Technical Infrastructure (TI) is the foundation of Google the global data centers, networks and integrating hardware and software that powers both the unique customer products and services and the internal operations. As a Financial Analyst and business partner to several of TI’s executive leadership team, you will manage major elements of Financial Planning and Analysis (FPA) support of business area. You will have a track record of success operating as a leader and influencing businesses. You will be an integral finance business partner to Cloud Supply Chain Organization (CSCO), directly supporting the machines supply chain. You will help to understand the growing costs required to support Google’s data centers. You will develop an understanding of the resources required to support a global supply chain supporting Google’s data centers, including equipment and tariffs. You will also partner with other Finance, Accounting, and Business/Product teams to ensure regulatory compliance, accurate reporting, and efficient data collection.The name Google came from googol, a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.Responsibilities Partner with the Cloud Supply Chain Organization to build key performance indicators (KPI) for business performance for contract manufacturers and provide cost analysis. Be the trusted advisor to business partners and provide feedback on new business initiatives, procurement programs, and agreements. Lead cross-functional projects to identify opportunities to drive efficiency and define investment strategies to reduce cost and support non-linear scaling with optimization. Manage monthly, quarterly and annual financial processes, including annual planning and management reporting. Drive visibility into business insights. Partner with other Finance and Accounting teams to ensure Google’s accounting, compliance and other financial requirements are appropriately supported. 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.
Negotiable
No requirement for relevant working experience
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.
Negotiable
No requirement for relevant working experience
Google welcomes people with disabilities.Minimum qualifications: PhD in Power Electronics, a related discipline, or equivalent practical experience. Experience with power electronics and various power conversion designs for data center power delivery. Experience with power converter modeling and simulation. Preferred qualifications: Experience in power converter design including AC/DC rectifiers, battery backup unit, DC/DC multiphase converters, etc. Experience with data center product hardware and system design. Experience in power system design. Ability to start a full-time role in 2026. About the jobThe 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 Provide power engineering insight to design and develop system and subsystem boards for next generation server and storage products that involve new technologies or new uses of multiple existing technologies. Engage cross-functionally to ensure successful roll-out, testing and complete validation. Partner with power industry leaders to lead the evaluation and adoption of the most compelling technologies. Provide technical leadership and direction while troubleshooting complex system level power delivery issues. Provide sustaining engineering support and optimize hardware design on existing products. 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.
Negotiable
No requirement for relevant working experience
As an Assistant Manager of Information Security and Risk Management (ISR), the role works with a high level of autonomy and discretion, assists Technology Director to develop security measures to safeguard digital assets, maintain secure technology environment, and ensure compliance with security standard and personal data protection law.- In charge of managing comprehensive information security governance and risk control across the organization, including planning, executing, and documenting technical assessments and audits for networks, applications, system development, and IT processes to safeguard against cyber threats and attacks. - Working collaboratively within agile technology teams to provide security guidance and support, facilitating platform development, fortifying digital ecosystem, strengthening data protection, and reinforcing IT foundation(Job Description)- Formulate and implement comprehensive information security strategies toshield digital assets and defend against cyber threats. This includes addressing areas such as DDoS mitigation, Web Application Firewall (WAF), Cloud Firewall, API security, Container Security, Identity and Access Management (IAM), Zero Trust Network Access (ZTNA), Database Audit, and other specified domains, ensuring resilient protection against emerging threats. - Collaborate with cross-functional and Regional/Global ISR teams to ensure the integration of security measures into operations and applications for cloud, on-premises data centers and business workspace. These measures include implementing High Availability and Disaster Recovery, deploying Firewalls, ensuring Data Loss Prevention (DLP), managing Endpoint Detection and Response (EDR)/Extended Detection and Response (XDR), enhancing Email Security, fortifying DNS Security, securing IoT devices, and implementing Encryption Technologies. - Drive initiatives related to Secure Software Development Lifecycle (S-SDLC), DevSecOps, Security Requirement Analysis, Threat Modeling, Vulnerability Scanning, Penetration Testing, Security Operations Center (SOC) and SecurityOrchestration, Automation, and Response (SOAR), Incident Response, andForensic Investigation. - Establish a robust monitoring mechanism for infrastructure and operations, continuously reviewing alerts and logs to vigilantly monitor the digital security footprint to ensure timely detection of security incidents and compliance with security policies. - Lead efforts on Personal Information Management System (PIMS) initiatives, collaborating with cross-functional members to create protective measures for personal data. Conduct routine audits to verify adherence to pertinent regulations, including Taiwan’s Personal Data Protection (BS10012), PCI-DSS, PCI PA DSS, ISO27001, ISO20000/ITIL, and Privacy by Design principles. - Support team members to periodically perform vendor risk assessment (VRA) to assess potential risks and develop mitigation strategies when needed to minimize business risks. 【Nice to have】 * Knowledge of BS 10012. * Clouds security measure and related reliability engineering knowledge
800K ~ 1.1M TWD / year
6 years of experience required
No management responsibility
Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience. 4 years of experience working in a hardware or power technical environment, or 3 years of experience with an advanced degree. Preferred qualifications: Master degree or PhD in power electronics, a related technical field, or equivalent practical experience. 5 years of experience in design, analysis/development. Experience with power system design and power converter design (e.g., AC/DC and DC/DC). Experience with power electronics fundamentals and power conversion designs for data center power delivery. Experience with power converter modeling and simulation. Ability to execute your own work with minimal supervision. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will manage projects in multiple areas with your expertise. You will also monitor the performance of vendors working on projects and evaluate new technologies.Our Platforms Infrastructure Engineering team designs and builds thehardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users.Responsibilities Innovate and design on rack and data center power conversion specifications and solutions, and investigate performance, cost, reliability, and availability trade-offs. Manage projects that involve new technologies or new uses of multiple existing technologies. Partner with power industry leaders to guide the evaluation and adoption of technologies. Engage cross-functionally to ensure successful roll-out, testing, and complete validation. Provide technical leadership and direction while troubleshooting system level power delivery issues. 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.
Negotiable
No requirement for relevant working experience

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