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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.

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.About the Role:We are seeking a dynamic and strategic Data Product Manager to bridge the gap between product innovation and data-driven insights. This role is responsible for defining and executing a data strategy that enhances our product offerings, optimizes decision-making, and drives business growth. You will work closely with cross-functional teams—including product, engineering, data science, and analytics—to ensure that data is at the heart of our product strategy and execution.Responsibilities:Understand product values and feature details to translate them into precise data requirements.Prioritize the product-related data requests backlog to align with product strategic objectives.Address gaps in our data ecosystem by defining tracking specifications and ensuring successful implementation and launch.Comprehend the meaning of data and clearly explain its context and significance to the data team for effective analysis.Initiate data insight projects with the data team for internal sharing and continuous product improvement.Qualifications:5+ years of experience in product management, data analytics, or a related role with a proven track record of integrating data insights into product strategy.Strong analytical mindset with the ability to interpret complex data and translate it into actionable strategies.Ability to effectively communicate technical insights to non-technical stakeholders.Solid understanding of database structures and design principles.Excellent problem-solving skills with a keen attention to detail.Bonus Points:Experience in the blockchain or financial technology industry.Background in data analysis or data science.Perks Benefits:Competitive salary and benefits package.Opportunity to work in a fast-paced and innovative environment.Be part of a growing and dynamic team.Make a real impact on the company's success.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-JY1

MoMo is the leading mobile payments provider in Vietnam, committed to improving the lives of every Vietnamese through technological innovation. As our business continues to expand, we're looking for an experienced Data Engineer to join our Data Platform team.At MoMo, we emphasize smart, efficient, and excellent execution, with a strong focus on data quality. Our data platform delivers critical insights for:Business and app performance monitoringMachine learning products including recommendation systems, personalization, risk scoring, fraud detection, targeted promotions, and financial servicesWe're also building a next-generation hybrid data platform across multiple cloud providers, giving us greater control over both cost and technologyMô tả công việcWith MoMo's AI-first mission, we are designing and building a self-serve data platform to empower both internal teams and external partners. This platform allocates resources based on users’ needs to support:Ingesting data from diverse sources — either in batch or streaming, using both pull and push mechanismsDeveloping and deploying resilient data pipelines across the data lake, data warehouse, and streaming systemsDelivering high-quality, derived datasets to downstream tools such as BI solutions (e.g., Apache Superset, Google Data Studio), via multiple delivery methods including APIs, datasets, and streaming dataMonitoring data quality throughout all data pipelines in the platform to ensure high-quality data, resulting in better decision-making, accurate reporting, and reliable machine learning outputsTracking and optimising resource usage for efficiencyAdditionally, we are building Data Management Systems that enable the Data Governance team and data consumers to:Manage the full data lifecycle within the big data platformExplore the MoMo data ecosystem independentlyProvide a single source of truth with high data quality to downstream consumersTrack and manage infrastructure costs across major projects, teams, and departmentsYêu cầu công việcBachelor’s degree in Computer Science, Engineering, or a related fieldA problem solver with a strong sense of ownership and accountability — not just a task executor5+ years of experience working as a Data Engineer and 1+ year of experience working as leaderCurious and committed to lifelong learning, with a passion for solving business problems through engineering, improving service quality and usability, and maintaining a strong customer focusStrong foundation in computer science fundamentals, including data structures, algorithms, database systems, and data modelling techniquesProficient in at least one of the following languages: SQL, Python, JVM-based languagesExperience with databases such as PostgreSQL, MySQL, ClickHouse, DuckDB, etcSkilled in analysing, designing, implementing, and optimising Data Vault or Dimensional Modeling for performance and costHands-on experience with infrastructure platforms — cloud-based (e.g., GCP, AWS) or on-premise — and container orchestration using KubernetesExperience with data storage and processing engines like Apache Spark, Apache Flink, and StarRocksExperience with Google Cloud Platform or Amazon Web Services is a plus.

Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. About the jobAt Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures, metrics, advocating for changes where needed for product development. 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.

Minimum qualifications: 15 years of experience in software design and data structures and algorithms 5 years of experience serving as a technical leader for a software product built by teams Preferred qualifications: Experience in infrastructure security domain Experience building enterprise products at scale and engaging with enterprise customers Experience with inspiring and motivating geographically distributed teams to work together as a cohesive unit Experience in leadership helping vet, hire, and retain a strong bench of tech leads through collaboration with engineering leaders on the team Ability to collaborate closely and innovate with engineering and cross-functional teams (particularly product management and technical product management) across Google Cloud and other relevant product areas About the jobSecOps by Google Cloud is advancing cybersecurity for enterprises of all sizes. We are dedicated to helping companies find and stop cyber attacks before they cause harm. With our expertise in global-scale threat intelligence, large-scale cloud computing, and big data, we help our customers and partners identify and solve their most significant security challenges, sorting through exabytes of data to find and resolve the most pertinent threats that our customers face. The SecOps platform delivers the entire range of products and services necessary for enterprises to address their needs ranging from security analytics, response capabilities, and threat intelligence. In this role, you will partner with the Engineering Director, Product Director, and principal engineers for Google SecOps to scale the platform, support customers, and support more complex environments. You will lead architectural design, integrations with other Google Cloud Platform (GCP)/Alphabet services, and integrations with external partners, and you will optimize our ability to create quality new detections in response to the changing security landscape. You’ll focus on availability, security, and compliance of a global system protecting some of the largest enterprises and governments in the world. Stakeholders will include senior management, engineering leaders across GCP, and external partners, all of whose products and services regularly provide to and consume from your system. You will also work closely with customers to understand their requirements and help make them successful.You will support the growing scale of SecOps in India, spanning both security and distributed systems.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Create and evolve long-term strategies for SecOps’ systems and infrastructure. Evolve SecOps architecture to support product features that span across multiple Alphabet products with a cohesive user experience. Drive innovation to make Google SecOps the leading security operations platform, leveraging capabilities across Alphabet. Formulate and realize complex technical outcomes in close collaboration with cross-functional partners and leads across the business unit. Build a strong bench of tech leads through support of hiring and mentoring in a wide variety of domains ranging from large-scale data processing, UI, enterprise integrations, and security engineering. 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.

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. You will be working with our crypto backend expert team and cooperating with resourceful PJM PDM teams. We offer a fantastic culture and great career prospects.ResponsibilitiesCollaborate with team members on designing, developing, and unit-testing new features and modificationsDesign data structures and utilize appropriate design patterns to model and Implement business logicDocument source code and generate readable API documentationsMaster software engineering tools like Git, Jenkins, and MavenRequirementsStrong Java skills with at least 2 years of professional experience in Java developmentProficiency in JVM-based framework technologies such as SpringBoot, Jersey, KtorExperience with Git, GitLab CI, and MavenProficiency in distributed architecture conceptsExperience with event-driven systems, such as message queues (MQ) and KafkaFamiliarity with cache stores, specifically RedisProficiency in various data structures and Java concurrencyNice to have: Kotlin, JavaScript, or PythonExperience in crypto/blockchain/Web3/trading is a significant advantageProficient in working with relational databases and SQLPositive attitude and ability to thrive in a fast-paced environmentIndependent contributor with excellent communication skills for effective teamworkStrong problem-solving abilitiesPerks BenefitsCompetitive total compensation packageVarious team building programs and company eventsComprehensive healthcare schemes for employees and dependentsAnd many more! Apply and let us tell you more!#LI-MC1

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. You will be working with our crypto backend expert team and cooperating with resourceful PJM PDM teams. We offer a fantastic culture and great career prospects.Responsibilities:Collaborate with team members on designing, developing, and unit-testing new features and modificationsDesign data structures and utilize appropriate design patterns to model and Implement business logicDocument source code and generate readable API documentationsMaster software engineering tools like Git, Jenkins, and MavenRequirements:Degree in CS or equivalent fieldAt least2yr+ of professional experience in Java developmentExperienced in crypto/blockchain/Web3 is a big plusMust be proficient in Java; nice to have: javascript, python or golangProficient in Java application framework technology (eg. Jersey)Proficient in in various data structures and Java concurrencyProficient in working with relational databases and SQLPositive attitude and willingness to work in a fast-paced environment.Independent contributor with good communication skills for teamworkStrong problem-solving skillsPerks BenefitsCompetitive total compensation packageVarious team building programs and company eventsComprehensive healthcare schemes for employees and dependantsAnd many more! Apply and let us tell you more!#LI-MC1

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 modificationsDesign data structures and utilize appropriate design pattern to model and Implement business logicStrong problem solving and analytical skillsDocument source code and generate readable API documentationsRequirementsDegree in CS or equivalent field4+ years of professional experience in backend developmentProficient in Javascript (TypeScript would be a plus)Proficient in any of the Java application framework technologyGood understanding of asynchronous programming and data structuresExperience in integrating with multiple data sources and databases (Relational and No-SQL)Positive attitude and willingness to work in a fast pace environmentMaster software engineering tools like Git, Jenkins, YARN or NPMPerks and BenefitsCompetitive total compensation packageVarious team building programs and company eventsComprehensive healthcare schemes for employees and dependantsAnd many more! Apply and let us tell you more!#LI-MC1

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. You will be working with our crypto backend expert team and cooperating with resourceful PJM PDM teams. We offer a fantastic culture and great career prospects.ResponsibilitiesCollaborate on design, development, and unit testing of new featuresDesign data structures and apply design patterns for business logicEnsure production systems’ reliability: monitoring, alerting, incident responseConduct root cause analysis and post-mortem reviews for production issuesOptimize system performance, scalability, and capacity planningWork with SRE/DevOps on observability (e.g., Prometheus, Grafana, ELK)Define and monitor SLOs/SLIs and act on breachesWrite runbooks, playbooks, and disaster recovery guidesRequirementsStrong Java skills, 10+ years’ experienceProficient with SpringBoot for Java, Ktor for KotlinExperience with event-driven systems (MQ, Kafka)Familiarity with Redis cachingSolid knowledge of data structures and Java concurrencyCrypto/blockchain/Web3/trading experience is a plusSQL and relational database proficiencyPositive, adaptable, fast‑paced environment mindsetStrong communicator, independent contributor, great problem‑solverPerks BenefitsCompetitive total compensation packageVarious team building programs and company eventsComprehensive healthcare schemes for employees and dependentsAnd many more! Apply and let us tell you more!#LI-MC1

Applications will be reviewed on a rolling basis and it’s in the candidate’s best interest to apply early. The anticipated application window is open until March 27, 2026, but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered.Participation in the internship program requires that you are located in the Taiwan for the duration of the internship program.This internship is intended for students who are currently pursuing a PhD degree program in Computer Science or a related field.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):1. In the “Resume Section:” attach an updated CV or resume.Please ensure your anticipated graduation date (in MM/YY) is listed on the resume.2. In the “Education Section:” attach a current or recent unofficial or official transcript in English. Under “Degree Status,” select “Now attending” to upload a transcript.Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.Google welcomes people with disabilities.Minimum qualifications: Pursuing a PhD program with a focus on subjects in software development or other technical related fields. Experience in software development and coding in one or more of the following: Python or C++. Experience with data structures or algorithms gathered from inside or outside of school or work. Preferred qualifications: Currently attending a degree program in Taiwan and available to work full time for 12 weeks outside of university term time. Penultimate academic year or returning to a degree program after completion of the internship. Programming experience in one or more of the following: C/C++, Python, CUDA. Research experience in computer architecture, embedded systems, accelerators, artificial intelligence, data mining, distributed systems, machine learning, data science, LLM, rule base or systems. Experience in computer science, with competencies in data structures, algorithms and software design. About the jobAs a Software Engineering intern, you will work on a specific project critical to Google’s needs. Software Engineering Intern:As a key member of a versatile team, you will work on a specific project critical to Google’s needs. We need our engineers to be versatile, and enthusiastic in addressing problems as we continue to push technology forward. You will design, implement, and manage the hardware, software, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, cloud customers and the billions of people who use Google services around the world.Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Develop software for Google Cloud’s infrastructure to empower Google service and external cloud customers, with hardware platforms including compute, storage, or AI-accelerators like TPUs and GPUs. Create and support a productive and innovative team including working with peers, managers, and teams. Analyze data and evaluate results to choose the best solution to effectively solve issues. Develop scripts or use AI to automate routine tasks and manual processes. Apply knowledge gained in computer science courses to real world 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.