What Jobs are available for Research Specialist in Hong Kong?

招聘職位 Job Title

中國科學院香港創新研究院科技處項目管理

Coordinator, Scientific and Technological Department, Hong Kong institute of Science & Innovation, Chinese Academy of Sciences

工作地址 Office Address

中國香港特別行政區新界沙田白石角香港科學園10W 7層

7/F, Building 10W (Lakeside 2), Hong Kong Science Park West Avenue 10, Sha Tin

工作職責 Responsibilities

1.負責聯繫國家科技部、國家自然科學基金委、香港創新科技署等內地及香港相關科技管理部門,組織科研項目申報工作;

Liaise with relevant technology management authorities in mainland China and Hong Kong, including the Ministry of Science and Technology, the National Natural Science Foundation of China, and the Hong Kong Innovation and Technology Commission, and organize research project applications.

2.負責聯繫中國科學院各院屬單位,科研項目策劃、組織申報和管理工作;

Coordinate with the institutions under the Chinese Academy of Sciences to plan, apply for, and manage projects.

3.承擔重大科技活動和學術活動的組織協調;

Organize and coordinate major scientific and academic events.

4.負責知識產權和成果轉化管理工作;

Manage intellectual property and technology transfer on a daily basis.

5.負責對外科技合作和課題管理工作;

Oversee international scientific cooperation and research project management.

6.負責領導交辦的其他工作。

Perform other duties as assigned by leadership.

應聘條件 Requirements

1.具有良好道德品質及職業操守,愛國愛港,遵紀守法;

Demonstrates excellent moral character and professional ethics; patriotic, committed to Hong Kong SAR, and compliant with laws and regulations.

2.碩士研究生學歷並具有3年及以上相關工作經驗,過往業績良好,或具有博士研究生學歷;

Holds a master's degree with generally 3 or more years of relevant work experience and a proven track record of performance, or a doctoral degree.

3.具有較高的職業素質,較強的責任心,服務意識及溝通協調能力;

Possesses strong professional qualities, a high sense of responsibility, service orientation, and excellent communication and coordination skills.

4.具有良好的普通話、英語、粵語書寫和表達能力。

Proficient in written and spoken Mandarin, English, and Cantonese.

5.信息技術或生命科技專業領域優先。

Priority given to candidates with academic backgrounds in information technology or life sciences.

應聘事項 Remarks

薪酬福利綜合確定,以最終簽訂的僱傭合約為準。

Remuneration package shall be reviewed with consideration, and subject to the Employment Contract.

自發佈招聘啟事起,凡符合應聘條件的人員均可報名。

Since release of the job ads, all interested applicants are welcomed to apply.

Job Responsibilities

1. Assist in building data models and the company's data platform, optimizing analysis processes, and promoting data standardization.
2. Perform data analysis and reporting to support product strategy and customer management.
3. Responsible for the collection, analysis, and maintenance of product-related data.

Job Requirements

1. 1-3 years of work experience; master's degree or above.
2. Strong data analysis and processing skills, proficient in using common data analysis tools such as SQL and Python.
3. Clear thinking, logical rigor, attention to detail, strong sense of responsibility, and strong data insight ability.

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

Requirements:

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese