【急聘代码巫师！文华量化军团召唤「多语言战士」收割市场！】    我们找的不是码农，是「数字炼金术士」！   ——会麦语言？懂宽语言？来这用代码把市场变成提款机！——   ---  岗位名称：文华量化工程师（别名：市场收割机驾驶员）   薪资范围：「不差钱」区间（****，反正能让你忘记股市涨跌）   工作地点： 地球某角落，支持远程修仙（需自带键盘和咖啡因）   ---  岗位职责（又名：你的超能力清单）   1. 编程语言全制霸：      - 精通Python（写策略）、C++（拼速度）、Matlab（玩模型），甚至能用VB在Excel里画龙点睛 ！      - 加分项：祖传「麦语言」技能（反正你懂的多国语言，我们照单全收）！   2. 策略开发与优化：      - 把脑洞变成代码，从股票、期货到数字货币，用算法让市场“瑟瑟发抖” 。      - 别光回测！实盘里见真章，盈亏都是故事素材（反正锅是市场的）。   3. 系统运维与救火：      - 当策略崩了？你就是那个凌晨三点用Linux命令行拯救世界的超级英雄 ！   ---  任职要求（又名：我们想找的“怪咖”）   1. 学历与技能：      - 本科起步，数学/计算机/物理专业优先（如果是自学成材的野生大神，请用代码砸简历）。      - 多语言切换如呼吸自然：Python、C++、Matlab、R… 甚至能用二进制写情书 。   2. 隐藏属性：      - 奥赛/ACM获奖者优先（代码江湖的武林盟主，我们跪迎！）。      - 对金融市场爱恨交织（亏过钱？恭喜，这是你的核心竞争力）。   3. 性格特质：      - 能忍受老板的灵魂拷问：“这策略为啥昨天赚，今天亏？”（标准答案：市场疯了，但我能治）。   ---  我们给什么（又名：加入的理由）   - 薪资：比你的股票账户稳定，且上不封顶（策略赚了，你懂的）。   - 团队：一帮穿格子衫的“疯子”，人均代码量可绕地球三圈。   - 福利：弹性工作制（反正你会在凌晨两点灵感爆发），无限量供应红牛和降压药。   ---  投递方式   发送简历至：**********************   邮件标题：「多语言战士申请出战」+ [你的代码行数]（注：虚报者会被要求现场写快排）   ---    如果看到这里你还没关页面——恭喜！你已通过第一轮“耐性测试”，下一步：让数字替你打工！

职责描述： 1.利用机器学习/深度学习/强化学习方法进行量化投资策略研发； 2.紧跟相关领域前沿，推动基础研究； 3.通过设计开拓性的新的深度神经网络等方式改进已有的机器学习算法，对二级市场标的进行特征/价格预测； 4.构建科学、严谨的算法评测体系； 5. 协助相关交易策略程序的编写、维护、调试、优化。 任职资格： 1.海内外知名高校硕士或博士学历，计算机、数学、统计等机器学习相关专业，有扎实的理论功底，掌握机器学习领域常用算法，曾发表高水平学术论文者优先； 2.在机器学习/深度学习/强化学习方面有一年以上的研发经验，在语音、图像识别等方面有研发经验，有量化研究经历者优先； 3.熟练掌握Python以及相关的开发工具包，精通tensorflow、kears； 4.熟练使用Hadoop、Hive、SQL、Spark进行数据处理和分析； 5.有较强的学习能力、自我驱动力、业务理解和解决问题的能力。

岗位职责： 1. 开发A股、期货量化策略； 2. 基于基本面，找寻交易逻辑，回测并开发股票高中低频策略； 3. 基于各种数据挖掘选股因子，提高策略绩效； 4. 跟踪并优化策略的实盘表现。 任职要求： 1. 计算机、数学、物理、概率统计、金融工程等理工科专业硕士及以上学历； 2. 两年以上A股市场股票量化研究经验； 3. 扎实的数理统计能力、有较强的自主学习和解决问题的能力； 4. 良好的编程能力，熟练使用Python /C++。 加分项： 1.有Kaggle等大数据竞赛经验，数学建模竞赛经验者优先； 2.有实盘策略者优先。

工作职责 1. 负责策略研究需求的设计和实现 2. 参与量化交易系统的设计开发和维护 3. 参与大数据平台的开发和优化 任职资格 1. 国内外名校，本科及以上学历，计算机相关专业 2. 熟练掌握常用的数据结构和算法 3. 熟练掌握C++ 4. 思路清晰，逻辑能力强

Job Description: This is a full-time job. The Quant Developer will work directly with the core research team to:  Run the existing quant trading operational system and continue improving it  Help design and implement big low latency market data feed and order execution solutions.  Work on challenging but interesting data analytics projects Experience / Skill Requirements Ideal candidates will have excellent academic records that show aptitude in creative problem solving, solid programming skills, and a solid foundation in mathematics and statistics. Attention to detail, self- motivation, and initiative are keys to the role, as is the willingness to collaborate with other firm members. Specific skills and experience sought include:  Advanced degree (Masters/Ph.D.) in a hard science such as Engineering, Computer Science, Physics, Mathematics, and Statistics. Strong undergrads are encouraged to apply;  Proficient in programming (ideally in Matlab, Python, C/C++)  Outstanding attention to detail  Result-driven attitude and ability to work under pressure  Ability to prioritize and manage multiple tasks concurrently to meet/exceed the deadline  Knowledge in equity trading is a plus but not required.

1. 利用机器学习、深度学习和人工智能的方法在公司研究平台上对大量历史性的数据进行研究、分析和统计，并从中找到相关的趋势和规律 2. 针对包括A股在内的全球股市研究和挖掘各种市场中性Alpha模型/因子，并在此基础上进行一系列测试 3. 在发掘足够多的模型/因子的基础上，研究因子组合方法。者可参与因子组合管理 4. 紧跟领域前沿，独立或与其他投资人员合作来推动算法的改进 其他与量化交易相关的工作 岗位要求： 1. 理工科背景；接受应届或实习转正 2. 对计算机技术和编程有强烈兴趣，熟练掌握linux操作系统开发环境，熟练阅读英文技术文档； 3. 很强的python或c++编程能力。 加分项： 1. 熟练使用numpy，pandas等python环境下的科学计算库，熟练掌握常见的机器学习方法和统计知识，例如线性模型, 贝叶斯，决策树，EM算法，支持向量机等； 2. 对计算机语言的语法，结构和编译/解释有兴趣； 3. 对tensorflow，pytorch等深度学习框架有源码级的理解。 4. 具备极强的数理基础，至少掌握一门编程语言（Python、C++等），各类竞赛竞赛获奖者优先考虑，如高中学科奥林匹克竞赛（数学，物理，生物，化学，信息学），大学ACM等奖项。

1. 利用机器学习、深度学习和人工智能的方法在公司研究平台上对大量历史性的数据进行研究、分析和统计，并从中找到相关的趋势和规律 2. 针对包括A股在内的全球股市研究和挖掘各种市场中性Alpha模型/因子，并在此基础上进行一系列测试 3. 在发掘足够多的模型/因子的基础上，研究因子组合方法。者可参与因子组合管理 4. 紧跟领域前沿，独立或与其他投资人员合作来推动算法的改进 其他与量化交易相关的工作 岗位要求： 1. 理工科背景；接受应届或实习转正 2. 对计算机技术和编程有强烈兴趣，熟练掌握linux操作系统开发环境，熟练阅读英文技术文档； 3. 很强的python或c++编程能力。 加分项： 1. 熟练使用numpy，pandas等python环境下的科学计算库，熟练掌握常见的机器学习方法和统计知识，例如线性模型, 贝叶斯，决策树，EM算法，支持向量机等； 2. 对计算机语言的语法，结构和编译/解释有兴趣； 3. 对tensorflow，pytorch等深度学习框架有源码级的理解。 4. 具备极强的数理基础，至少掌握一门编程语言（Python、C++等），各类竞赛竞赛获奖者优先考虑，如高中学科奥林匹克竞赛（数学，物理，生物，化学，信息学），大学ACM等奖项。

岗位职责： 1. 在量化交易各个不同市场的相关数 2. 据上进行高原创性的深度学习模型研究； 3. 构建和创新深度学习算法在量化交易领域的评价体系。 岗位要求： 1. 计算机、统计学等相关专业，硕士博士学历； 2. 熟悉机器学习/深度学习领域内各个子领域的代表性算法，并对机器学习/深度学习某一子领域的state-of-the-art模型有一定的研究深度； 3. 多篇领域顶会(NeurIPS/ICML/CVPR/ICCV/ECCV/EMNLP/SIGKDD/IJCAI/AAAI等)以**作者发表论文； 4. 同时具备深度学习的理论基础以及在真实数据和场景下应用深度学习的经验，能够完理论和模型在不同领域之间的迁移； 5. 有完整业务线上深度学习建模和调参经验。

工作职责： 1、优化、维护现有机器学习模型框架； 2、利用机器学习方法进行量化策略研发； 3、协助相关交易策略程序的开发、维护和优化； 4、研究AI相关前沿技术，探索机器学习应用于量化投资的新场景和新算法； 岗位要求： 1、计算机、金融工程、数学、统计等等相关理工类专业，海内外知名高校硕士或博士及以上学历； 2、熟练掌握C++或Python，精通Tensorflow/Pytorch等框架； 3、具备扎实的统计理论、机器学习基础，熟悉机器学习各种算法。 满足以下条件者优先： 1、在图像识别、自然语言处理等领域有过研究经验者优先； 2、在国际顶会或期刊发表过论文者优先； 3、在相关领域竞赛中取得过优异成绩者优先。 可base北、上、杭、深圳 加分项： ACM/ICPC、NOIP 或全国信息学竞赛获奖者 有大规模、高复杂度、mission critical 产品的维护经验 良好的系统设计能力，能从 performance、reliability、availability 多个方面设计系统 有操作系统、数据库、存储系统、分布式系统等计算机系统的底层开发经验（其中任一） 参与科研项目，在计算机国际顶会发表过论文

Job Summary This is a greenfield development opportunity to design, build and implement the next generation derivatives platform. We are committed to modernize our infrastructure and aligning our operating model to a client-led framework. This is our key strategic project to bring innovation to market participants in trading, clearing and risk management of the derivatives markets. We are looking for a dynamic and passionate individual to join us as the System Development Lead in the Risk Management System. The incumbent will primarily focus as the Risk Management System architect to drive the overall application design, and will have the opportunity to develop and work with new technology. He/she will be part of the mission critical platform development team and will have the privilege to work closely with seasoned, enthusiastic technologists across the IT Division as well as the exposure to work with various business stakeholders across HKEX. Job Duties Job Duties Responsibilities: Manage system development life cycle and oversee project implementation including the requirement definition, resource estimation, system design and development, functional and technical testing, production migration and documentation. Head the internal development team for systems development and testing. Design and implement systems with modern technologies, high availability and scalability; investigate and resolve design defects and technical issues. Perform quality review for software design and code changes. Collaborate with teams across IT and business departments. Ensure system development and operation in accordance with the IT development standards and guidelines, and corporate policies and frameworks. Requirements: • Degree in Computer Science, Information Technology, Mathematics, Statistics, Financial Engineering or related disciplines. • 10+ years system development experience in large scale systems, preferably in the financial services industry. • Strong skillsets in Java, C++, Python, Perl, RESTFul, SQL, React JS, JSX. • Expertise experience in system architecture design. • Extensive experience in development in Spring Boot, Linux, data modelling, micro-services and containerized architecture platform. • Strong knowledge and experience in cloud technology with solid experiences of in-memory DB and messaging technologies are essential. • Experience in DevOps framework and tools (eg. Jira, Git, Jenkins, etc) and automated testing frameworks like Selenium, Jasmine or JUnit. • Familiarity with object storage, solid proficiency in database, noSQL and data manipulation tools for handling and analyzing large datasets. • Strong analytical and problem solving skills and mindset, self-motivated and able to work independently. • Understanding of quantitative finance concepts, derivatives pricing, risk management model, and/or portfolio optimization is a definite advantage. • Good communication skills to work and interact with internal IT teams and business stakeholders.

Job Summary This is a greenfield development opportunity to design, build and implement the next generation derivatives platform. We are committed to modernize our infrastructure and aligning our operating model to a client-led framework. This is our key strategic project to bring innovation to market participants in trading, clearing and risk management of the derivatives markets. We are looking for a dynamic and passionate individual to join us as the System Development Lead in the Risk Management System. The incumbent will primarily focus in the derivatives pricing and risk modeling area and have the opportunity to develop and work with new technology. He/she will be part of the mission critical platform development team and will have the privilege to work closely with seasoned, enthusiastic technologists across the IT Division as well as the exposure to work with various business stakeholders across HKEX. Job Duties Responsibilities: Manage system development life cycle and oversee project implementation including the requirement definition, resource estimation, system design and development, functional and technical testing, production migration and documentation. Head the internal development team for systems development and testing. Design and implement systems with modern technologies, high availability and scalability; investigate and resolve design defects and technical issues. Perform quality review for software design and code changes. Collaborate with teams across IT and business departments. Ensure system development and operation in accordance with the IT development standards and guidelines, and corporate policies and frameworks. Requirements: • Degree in Computer Science, Information Technology, Mathematics, Statistics, Financial Engineering or related disciplines. • 10+ years system development experience in large scale systems, preferably in the financial services industry. • Strong skillsets in Java, C++, Python, Perl, RESTFul, SQL, React JS, JSX. • Solid experience in application architecture design and development in Spring Boot, Linux, data modelling, micro-services and containerized architecture platform. • Experience in DevOps framework and tools (eg. Jira, Git, Jenkins, etc) and automated testing frameworks like Selenium, Jasmine or JUnit. • Familiarity with object storage, databases, noSQL and data manipulation tools for handling and analyzing large datasets. • Strong analytical skill and mindset, self-motivated and able to work independently. • Knowledge and experience in cloud technology is preferred. • Understanding of quantitative finance concepts, in particular derivatives pricing, risk modeling, and portfolio optimization is a definite advantage. • Good in mathematics; knowledge of in-memory DB and messaging technologies is a plus. • Good communication skills to work and interact with internal IT teams and business stakeholders.

Alvanon HK, Ltd. As the leading global apparel business and product development consultancy, we help our clients grow sales and improve profitability by aligning their internal teams and strategic suppliers, engaging consumers, and implementing world class innovations throughout their product development processes and supply chains. We sincerely invite analytical, energetic and self-motivated individuals to join Alvanon. We are looking for candidates for the following position: Machine Learning/Data Science Manager You will be working at our head office in Hong Kong, developing new products relating tobody fit and fashion technology using engineering and machine learning techniques. You will be leading the machine learning team, working closely with other stakeholders to create innovative solutions and products with the latest machine learning technologies. Responsibilities ● Lead and drive the team to deliver AI/ML solutions. ● Identify and communicate with key stakeholders and understand their requirements. ● Research and develop AI/ML solutions that have real impact on our business/products. ● Implement machine learning/deep learning models and bring them into production. ● Work with data scientists and software developers through the entire R&Dpipeline (problem analysis, idea generation, data collection, model prototyping, evaluation, implementation, deployment and maintenance). ● Maintain and improve in-house interface for application prototype, model visualization and evaluation. Requirements ● Doctor Degree in Computer Science/Information System/Statistics or any related quantitative disciplines ● A minimum of 5 years of working experience in the relevant field ● Understanding of common machine learning models/algorithms, such as SVM, logistic regression, Bayesian regression, Neural Networks, etc. ● Basic understanding of probability, statistics, optimization, data structure and algorithms ● Hands-on experience in machine learning/deep learning tools, such as PyTorch, TensorFlow, Keras ● Strong communication skills in English, Mandarin and Cantonese ● Research experience in AI/ML/CV/CG in companies or university research labs is a plus Personality ● Have effective communication skills ● Have sense of ownership of work and desire to deliver great products To apply, please

Job Responsibilities The Product Manager is the voice of the customer for all of the different perspectives in our ecosystem. They will work with different teams across the company to identify business opportunities, design solutions, assist with building / QA / Positioning, and steward the launch of new products. You will be expected to: • Build a platform that our customers love; • Conduct and integrate user research, analysis, and stakeholder feedback into a consolidated viewpoint: in other words, to know intimately our customers; • Inform product decisions with quantitative and qualitative data on user behavior; • Be the user expert and champion; • Interact constantly with the tech team to ensure the delivery of delightful features; • Execute on initiatives from conception through implementation, and work closely with an engineering team to scope and prioritize; • Own product metrics, understand the drivers behind them, and continuously improve them; • Validate new features to ensure they align with the original designs and intentions. Your Profile It could be you if you have: • 2+ years of product management experience; • Excellent written and verbal communication skills; • Good business sense — you can identify opportunities to add value and know how to capture them; • Empathy for customers — you work hard to identify what users really need, and find acute customerproblems; • Good design sense — you know good design from bad, and can articulate improvements and their motivations; • Exceptional attention to detail, communication, relationship building, problem solving, and analytical skills; • Passion for about technology, data, and startups; • Experience prioritizing customer requirements, working with stakeholders and internal teams to define market opportunities and business plans in support of company goals; • Strong operational mindset, decisive, “get it done” mentality; • Experience conducting focus groups and user research, using best practices; • Intellectual curiosity, self-motivated work ethics, ability to learn fast, and a strong bias for action.

Job Summary: The project manager will be responsible for managing insurance IT projects, requiring ability of managing project process and stakeholders to deliver projects in good quality, time and budget. Responsibilities: • Study existing project/applications and lead the team to support customer with good quality quickly. • Build up new team to support new project quickly. Ensure we can catch the chance. • Provide expertise, consulting and guidance to team members. • Support BA to analyze user requirement • Support architect to design architecture • Develop innovative solution and make improvement on process and approach of day -to-day activities with a systematic approach to prevent issues from recurrence • Communicate with customers to understand business requirement • Maintain good relationship with business and IT customers • Prepare project plans and monitor timeline • Manage all phases of IT projects internally • Review and approve project deliverables • Motivate project team members • Report to team leader about project status Qualification: • Solid Technology Skill background with Java, iOS experience is preferred. • BA/Master degree in Computer Science/Software Engineering • 5 years in project & program management and/or business operations. • Strong quantitative and qualitative analysis skills. • Extensive negotiation skills. • Acquired an ability to manage multiple projects/work streams at once with clear objectives to meet on time, on budget delivery with high quality results. • Exceptional communication skills and ability to formulate insights and opinions around complex business problems. • Self-motivated and driven performer with exceptional multi-tasking abilities towards goal. • A strong team player that values the importance of the success of their overall group. • Ability to speak and w rite in English and Mandarin fluently. Preferred qualifications: • Demonstrated ability to negotiate and close deals with mid/big-size international companies. • Broad understanding of the Cloud like Azure. • Managed high complex project in customer support environment is a plus • PMP, Agile and Scrum Master is preferred

公司介绍： 我们是一家专注于区块链领域自营量化交易的金融科技初创公司。公司核心成员来自帝国理工、清华、牛津等，任职履历涵盖知名对冲基金（World Quant, GSA Capital, Jump Trading, Jane Street）及一线互联网公司（Google, Facebook）。公司主营业务为量化交易和区块链应用开发。 职位：量化研究员 (Quantitative Researcher) 工作地点：深圳市福田区 工作内容： * 数字货币中低频交易信号的研究 * 量化研究平台和工具的设计与开发 我们希望你： * 毕业于国内985或者海外知名高校，数学、物理、计算机或相关理工科专业本科及以上学历 * 扎实的数学基础：概率统计、线性代数、时间序列分析 * 熟悉Python编程，熟练掌握pandas、numpy等科学计算库 * 熟练阅读英文文献 加分项： * 知名交易公司、对冲基金的工作或者实习经验 * 统计、应用数学、计算机等领域的知名期刊、会议上发表文章 * 数学、物理竞赛的获奖经历 * 数字货币交易经验 薪资待遇：总包40w ~ 150w 联系邮箱：****************