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【公司描述】 本公司為亞太地區領先的金融機構之一，積極拓展海外數位金融業務，致力於以數據驅動跨境消金服務創新。在快速變動的國際市場中，我們相信策略性的數據應用能為集團帶來可持續成長，誠摯邀請熟稔金融業與資料洞察的專業分析師加入團隊，為亞洲區域擘劃更具競爭力的產品與策略。Company IntroThe company is one of the leading financial institutions in the Asia-Pacific region, actively expanding their overseas digital finance operations. They are committed to driving innovation in cross-border consumer finance services through data-driven strategies. In the rapidly changing international market, they believe that strategic data utilization can bring sustainable growth to the group. They sincerely invite experienced analysts with deep knowledge in the financial industry and data insights to join their team and help shape more competitive products and strategies for the Asian market. 【職缺亮點】 ✅ 直屬總行策略單位，參與跨國發展藍圖與決策推進✅ 商業＋風險雙面向分析，洞察力驅動產品與營運創新✅ 與海外據點協作，深入新興市場（有機會出差東南亞）✅ 可見度高，直接對接決策層與跨部門關鍵專案 Job Highlights Direct access to group-level strategic planning: The analyst will work closely with senior stakeholders to support cross-border growth initiatives.Hybrid focus on business and risk: The position involves analyzing both market opportunities and potential exposures, driving innovation in both product and operations.Regional collaboration: The role requires close coordination with international branches and may involve short-term travel within Southeast Asia.High organizational visibility: The analyst will serve as a key advisor on cross-departmental initiatives and strategic projects. 【職位職責】 🔹 分析海外市場趨勢與競業資料，提出具策略意義的行銷與風控建議🔹 對海外個金業務進行客群分群、行為洞察與風險評估🔹 發掘數據價值並結合業務需求，設計可落地的資料應用方案🔹 主導專案計畫，管理資源、排程與成效追蹤🔹 跨部門協作，作為數據專業顧問，推動資料驅動的決策文化🔹 支援區域團隊需求，必要時進行東南亞市場短期出差 Job Description Analyze market trends and competitor data in overseas markets to generate actionable insights for marketing and risk control strategiesConduct customer segmentation, behavioral analysis, and credit risk evaluations for international consumer finance business linesTranslate business needs into data solutions, designing analytical frameworks that drive measurable impactLead and manage cross-functional data projects, ensuring clear timelines, resource alignment, and performance trackingAct as a subject matter expert in data analytics, working closely with product, marketing, and risk teams to promote data-informed decision-makingSupport regional business units with insights and short-term assignments in Southeast Asia as needed 【職位要求】 ✔ 至少 5 年以上資料分析或商業分析經驗，具金融、保險或新創電商背景尤佳✔ 熟悉資料分析工具（如 Python、SQL、SAS、R 之一或以上）✔ 具備金融行銷、風控或業務策略經驗尤佳✔ 能獨立撰寫分析報告、提案，並有效溝通分析價值與洞察✔ 邏輯清晰，具備策略性思維與跨文化溝通能力✔ 中英文流利，能撰寫英文分析報告並進行國際協作 Requirement Minimum of 5 years’ experience in data analysis, business analysis, or strategy roles; prior work in financial services, insurance, or digital platforms is highly desirableProficiency in Python, SQL, SAS, or RFamiliarity with financial marketing, risk control, or business strategy frameworksDemonstrated ability to produce clear, compelling analysis and communicate insights to both technical and business audiencesStrong strategic thinking, problem-solving skills, and ability to work across culturesFluency in English and Mandarin is required — including the ability to draft formal reports and collaborate with international teams ---------------------------------------------------------------------- 若您對此職位感興趣，請立即聯繫，讓我為您介紹更多詳細資訊！ ▶︎ 聯繫人：招募顧問 Owen Wu▶︎ LINE： https://line.me/ti/p/ICjS8Jx0Dq▶︎ LinkedIn： https://www.linkedin.com/in/owen-wu-1023a41a4/

【Hour Loop 飛輪電商】在2013年成立，並於2022年初在美國那斯達克上市。作為亞馬遜 (Amazon) 第三方賣家，我們的工作不只廠商開發，還包括商品上架、價格制定，以及物流與庫存管理，通通一手包辦。 在百萬競爭對手中，我們透過獨特的營運模式，成功實現十年來的持續成長，並脫穎而出，在2022年底躍升為亞馬遜 (Amazon) 前十名的賣家！ 我們提供彈性且暢通的職涯管道，不綁年資，端看績效表現，從「獨立貢獻者」到「管理職」適性發展！如果你喜歡打磨自身專業能力，鑽研獨立的工作項目，便適合獨立貢獻者的角色；若你有準確遠見，善於溝通和帶領團隊，你可能就是未來的帶人主管！ Job Description 1. Analyze market sales data and seasonality to discover potential products. 2. Assist senior business managers in developing purchasing strategies to maintain inventory levels. 3. Track the sales performance of products. 4. Calculate the potential profits of products to provide the best purchase advice. 5. Maintain product profit margins through pricing strategies. 6. Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation 7. Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Requirements Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Strong problem-solving skills

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 seeking a proactive, detail-oriented Junior Data Analyst to join our Business Operations team. In this role, you will support daily operational analytics by extracting data, building dashboards, and providing insights that strengthen decision-making across the organization and help to improve the efficiency of our processes. This position is ideal for recent graduates or early-career analysts who are interested in business operations, data analysis, fintech, or crypto. You will work closely with BizOps, Compliance, Risk, and Product teams to deliver accurate, timely, and actionable data, ensuring the smooth functioning of our platform and internal processes.Responsibilities:Assist in manually performing calculations and data pulls as required by the team.Scrub and validate large datasets, focusing on key metrics set by different functional teams.Support cross-team efforts to improve data accuracy by collaborating with Data Engineering on tagging, data definitions, and data integrity checks.Help maintain and organize internal records, ensuring they are updated and easily accessible.Develop and maintain dashboards in Tableau for data visualization.Conduct data analysis for cross-functional projects to help departments make data-driven decisions and evaluate business impact.Participate in projects that aim to streamline operations and improve data accuracy.Troubleshoot data discrepancies and assist with resolving issues as they arise.Perform other ad-hoc tasks as required by the direct supervisor.Requirement:Recent graduate or entry-level candidate with a keen interest in data analysis, business operations, or marketing.Strong attention to detail with an ability to focus on accuracy while working with large amounts of data.Proficient in data analysis tools, SQL, Database, Tableau, Microsoft Excel (knowledge of basic functions, formulas, and data entry).Good communication skills and ability to collaborate effectively with cross-functional teams.Ability to learn quickly and take on new challenges with a proactive attitude.Organized, dependable, and self-motivated.Perks 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-GL1

1. Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates.2. Conduct precise analysis of probability distributions in casino games, develop and validate mathematical models to ensure game fairness and risk control, supporting compliance operations and decision-making.3. Continuously explore and implement various applications of LLMs in business, from natural language processing to intelligent customer service and content generation, driving enterprises toward intelligent transformation.4. Work closely with various business units, leveraging data analysis and visualization tools to promote a data-driven decision-making culture, helping departments uncover insights from data and develop effective strategies.

About inline inline is a software startup focused on maximizing restaurant efficiency managing tables and reservations. We have thousands of restaurants including leading chain brands, Michelin-starred restaurants, shopping malls, and busy brick-and-mortar restaurants. We also partner with food-tech platforms, social apps, and various media services to grow the exposure and business for inline restaurant customers. Our team is launching and exploring more global opportunities in key cities, including Tokyo, Osaka, Hong Kong, Taiwan, Kuala Lumpur, Vancouver, Melbourne, Sydney and the cities in the US. For people with solid professional skills and talent, who are highly motivated to expand their career and learn in a fast, flexible environment, we have several opportunities to build the business with our team and write the legend inline for the next thousand partners at a rapid pace. We are seeking a Business Operations Intern to join our team and enhance the efficiency of our Customer Success Management Team, as well as strengthen our client relationships through various tools and solutions. As a Business Ops Intern, you will work cross-functionally with teams including Revenue, Customer Support, and Business Development, collaborating closely to drive value for both inline and its clients. If you're looking to start your career in Operations or Customer Success Management, this is the perfect opportunity for you to shine. What you'll do Daily Operations Organize and manage contract files for the CSM team, developing an automated archiving system to streamline file management.Record client information in internal forms, ensuring data consistency and accuracy across cross-functional documentation.Maintain and periodically update forms, regularly verifying the accuracy of all automated forms.Complete additional tasks as assigned by supervisors. Process Optimization and Automation Tool Development Optimize existing processes and design new workflows, setting clear priorities for improvements that will drive greater sales efficiency.Take responsibility for developing and managing automation tools, ensuring seamless and refined end-to-end processes.Data Analysis Utilize data analysis and client trend assessment to identify potential customer and sales opportunities, supporting data-driven decision-making.Develop client data reports that enable the CSM team to gain insights into customers' business performance, fostering stronger partnerships and collaboration.

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:3+ years of experiencein data, analytics, or a related roleExperience definingdata tracking / event specsand coordinating with engineering or data teamsComfortable definingdata requirements, and able to structure dashboards and metrics based on product or business needsFamiliar withtrading products and workflows(e.g. stocks, futures, or crypto), with enough hands-on exposure to understand user behavior and data needsAble tocommunicate clearlywith product, engineering, and data teamsBonus 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

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.

We are seeking a Data Engineer (BI) to join our core data team. In this role, you will be responsible for building and maintaining data pipelines to support our Business Intelligence efforts, focusing on Aftersales CX data. You'll work with customer-contact data, transforming it for analysis and reporting to improve aftersales processes. If you are passionate about data engineering and its impact on business intelligence, we encourage you to apply. Key Responsibilities Design, develop, and maintain data pipelines and ETL processes to ingest, transform, and load data from various sources into our data warehouse.Build and optimize data models in Snowflake for efficient querying and reporting.Implement and maintain data quality checks and monitoring to ensure data accuracy and consistency.Write and optimize complex SQL queries for data extraction and analysis. - Develop interactive dashboards and reports using Power BI to visualize KPIs and insights for stakeholders.Develop and maintain data documentation and metadata.Utilize Google Cloud Platform (GCP) to build and deploy scalable and reliable data solutions. - Manage and automate infrastructure using Terraform for cloud resources.

We are seeking an Engineer with experience in silicon photonics to support photonic device design, PIC development, system simulation, and PDK integration.The engineer will work on photonic circuit design, system-level simulation, photomask layout, and collaborate with silicon photonics foundries for fabrication and testing.The role will also involve advanced packaging considerations for chip-level integration.Key Responsibilities1. Develop Silicon Photonics PDK components, including device modeling, parameter extraction, compact modeling, and integration into design frameworks.2. Design photonic integrated circuits (PICs) based on system requirements and fabrication process constraints.3. Perform optical, photonic, and system simulations, including device-level, circuit-level, and system-level modeling and optimization.4. Create photomask layouts and ensure design rule compliance for commercial silicon photonics fabrication processes.5. Collaborate with Si Photonics foundries for fabrication, process review, MPW submissions, and tape-out planning.6. Conduct optical and electrical testing of photonics devices and PICs, including characterization, data analysis, and reporting.7. Work with packaging and module system teams to evaluate advanced packaging schemes for PIC--electronic integration.

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 Groupis 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 OpportunityJoinusand play a key role in supporting financial visibility, maintaining accounts and assets, and assisting with tax and audit matters. This role is ideal for candidates with a strong accounting background, familiarity with IFRS, and experience in finance operations. You’ll thrive in a dynamic, fast-paced environment, collaborating with global stakeholders while contributing tofinancial analysis, system automation, and process optimization. Fluency inEnglish and Mandarinis essential.ResponsibilitiesBudgeting and Forecasting:Develop and manage the annual budgeting process in collaboration with department heads.Create detailed financial forecasts, analyzing trends and potential impacts on business performance.Financial Analysis:Conduct variance analysis to compare actual performance against budgets and forecasts, providing actionable insights to management.Prepare financial models to support strategic initiatives and business planning.Ad-Hoc Analysis:Perform data-driven analysis of revenue streams, expenses, and other financial metrics to inform management decisionsReporting:Prepare regular financial reports and presentations for senior management, highlighting key performance indicators and financial trends.Ensure the accuracy and integrity of financial data reported to stakeholders.Collaboration:Work closely with cross-functional teams to gather data, understand operational needs, and provide financial insights that support strategic decision-making.Act as a financial advisor to business units, offering guidance on financial implications of business strategies.Process Improvement:Identify and implement process improvements in financial planning and analysis practices to enhance efficiency and effectiveness.Stay informed on industry trends and best practices in financial analysis and reporting.RequirementsBachelor’s degree or higher in Accounting, Finance, or a related field.Minimum of 5 years hands-on experience in Accounting/Finance; prior experience in a Big 4 audit firm is highly desirable.Solid understanding of IFRS and proficiency in GL, AP, and AR operations.Strong Excel skills and experience in financial modeling and data analysis.Ability to work independently, manage multiple tasks, meet deadlines, and thrive in a fast-paced environment.Energetic, detail-oriented, and a strong team player.Fluency inEnglish and Mandarinrequired.Nice to HavesExperience with ERP software such as Microsoft Dynamics or NetSuite.Prior experience in thefintech or financial services industry.#LI-GL1