Chi tiết thông tin tuyển dụng "Head of Data and Analytics (Life Insurance Project)"
Mức lương
Thỏa thuận
Địa điểm
Hà Nội
Job Purpose
- The job holder ensures that all systems meet The business/company requirements as well as industry practices.
- The job holde integrate up-and-coming data management and software engineering technologies into existing data structures.
- The job holde develop set processes for data mining, data modeling, and data production.
- The job holde integrate up-and-coming data management and software engineering technologies into existing data structures.
- The job holde develop set processes for data mining, data modeling, and data production.
Key Accountabilities (1)
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, and ensuring the data platform can ingest data at scale. Assemble large, complex data sets that meet functional / non-functional business requirements.
- This involves collaboratively working with different technology, risk và compliance and segment teams across TCLife to ensure priorities are well understood and proper expectations are established with business stakeholders;
- Collaborate with System and Data Architects, translate complex functional and technical requirements into detailed architecture, design and high performing capabilities with the Enterprise Data Lake
- Design and execute the build-out of data patterns and services - both batch, real-time and complex event handing - leveraging open technologies and in support of the business's requirements
Data Architecture
- Design data architecture and data platform
- Facilitate connectivity, create networks, firewall rules
- Deliver fault tolerance and redundancy
- Develop operational solutions:
- Investigate and understand root causes for issues in business operations
- Initiate continuous process improvements over operational effectiveness
- Anticipates operational problems by studying modes of operation
- Develops operational solutions by defining, studying, estimating, và screening alternative solutions; calculating economics; determining impact on total system
- In charge of Identity và Access Management Security
- Manage dependencies, coordinate delivery và schedule sw/code deployment
- Prepare and execute test scenarios, log defects, evaluate quality risk, report potential impact
- This involves collaboratively working with different technology, risk và compliance and segment teams across TCLife to ensure priorities are well understood and proper expectations are established with business stakeholders;
- Collaborate with System and Data Architects, translate complex functional and technical requirements into detailed architecture, design and high performing capabilities with the Enterprise Data Lake
- Design and execute the build-out of data patterns and services - both batch, real-time and complex event handing - leveraging open technologies and in support of the business's requirements
Data Architecture
- Design data architecture and data platform
- Facilitate connectivity, create networks, firewall rules
- Deliver fault tolerance and redundancy
- Develop operational solutions:
- Investigate and understand root causes for issues in business operations
- Initiate continuous process improvements over operational effectiveness
- Anticipates operational problems by studying modes of operation
- Develops operational solutions by defining, studying, estimating, và screening alternative solutions; calculating economics; determining impact on total system
- In charge of Identity và Access Management Security
- Manage dependencies, coordinate delivery và schedule sw/code deployment
- Prepare and execute test scenarios, log defects, evaluate quality risk, report potential impact
Key Accountabilities (2)
Data Engineering
- Turn Business Requirement Documents (BRD) from Financial Analyst (FA) / Business Analyst (BA) to FRD (Functional Requirement Documents)
- Perform technical metadata (source @ target mapping, schemas, instr.)
- Develop data pipelines and microservices
- Develop and maintain the in-house customer framework for the Deep Learning (DL)
- Define and maintain the enterprise-wide Deep learning architecture and infrastructure roadmap
- Lead the solution and ensure that new projects are in-line with the business IT blueprint and their design fits with the DL arch roadmap
- Sets up, develop and maintain an Machines Learning (ML) enabled eco-system including job orchestration, feature store, fitting models, hyper parameter tuning methods
- Productionizes Machines Learning models to meet high-demand and strict SLAs
- Review quality specs và tech design docs to provide timely and meaningful feedback
- Create detailed, comprehensive and well-structured test plans and test cases
- Estimate, prioritize, plan and coordinate quality testing activities
Data Solution
- Analyze user requirements and manage demand for current or proposed projects based on numerous key characteristics
- Coordinate with upper management/BU and prioritize product backlog
- Perform budget estimation và planning; Plan, oversee and lead projects;
- Finalize and perform a BRD (Business Req. Doc.) for user sign-off
Project Management
- Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
- Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analyses to improve practices for maximum productivity.
- Turn Business Requirement Documents (BRD) from Financial Analyst (FA) / Business Analyst (BA) to FRD (Functional Requirement Documents)
- Perform technical metadata (source @ target mapping, schemas, instr.)
- Develop data pipelines and microservices
- Develop and maintain the in-house customer framework for the Deep Learning (DL)
- Define and maintain the enterprise-wide Deep learning architecture and infrastructure roadmap
- Lead the solution and ensure that new projects are in-line with the business IT blueprint and their design fits with the DL arch roadmap
- Sets up, develop and maintain an Machines Learning (ML) enabled eco-system including job orchestration, feature store, fitting models, hyper parameter tuning methods
- Productionizes Machines Learning models to meet high-demand and strict SLAs
- Review quality specs và tech design docs to provide timely and meaningful feedback
- Create detailed, comprehensive and well-structured test plans and test cases
- Estimate, prioritize, plan and coordinate quality testing activities
Data Solution
- Analyze user requirements and manage demand for current or proposed projects based on numerous key characteristics
- Coordinate with upper management/BU and prioritize product backlog
- Perform budget estimation và planning; Plan, oversee and lead projects;
- Finalize and perform a BRD (Business Req. Doc.) for user sign-off
Project Management
- Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
- Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analyses to improve practices for maximum productivity.
Key Accountabilities (3)
PEOPLE MANAGEMENT
- Oversee human resources planning and execution (headcount & costs) of their function
- Attract, onboard and retain the right talents for a high- performing team
- Establish and communicate function and individual KRAs/ KPIs, goals, action plan, expectations and results to reporting line
- Manage function performance & provide feedback regularly (following the annual performance management cycle);
- Define team's capability requirements and enable team member's professional and personal development through capability assessment, training, coaching & feedback, mentoring, etc.
- Motivate and recognize team members' contributions towards the team's shared goals
- Identify and monitor personal, professional development and career advancement of talents in the function
- Act as a role model and promote corporate culture at function level
- Understand & communicate relevant HR offerings to team members.
- Oversee human resources planning and execution (headcount & costs) of their function
- Attract, onboard and retain the right talents for a high- performing team
- Establish and communicate function and individual KRAs/ KPIs, goals, action plan, expectations and results to reporting line
- Manage function performance & provide feedback regularly (following the annual performance management cycle);
- Define team's capability requirements and enable team member's professional and personal development through capability assessment, training, coaching & feedback, mentoring, etc.
- Motivate and recognize team members' contributions towards the team's shared goals
- Identify and monitor personal, professional development and career advancement of talents in the function
- Act as a role model and promote corporate culture at function level
- Understand & communicate relevant HR offerings to team members.
Success Profile - Qualification and Experiences
Qualifications
- Bachelor's or Master's degree in statistics, mathematics, quantitative analysis, computer science, software engineering or information technology.
Work Experience
- 14+ years of relevant experience with modern data capability including scripting, developing, debugging and using big data technologies (e.g. Hadoop, Spark, Kafka or Tableau), database technologies (e.g. SQL, NoSQL, Graph databases), and programming frameworks (e.g. Python, R, Scala, Java) including 10+ years of equivalent managerial roles.
- Deep experience in designing and building dimensional ETL processes, data models, data warehouse concepts and methodologies, optimizing data pipelines and architecture
- Deep experience monitoring complex data issues, evaluating algorithmic approaches and examining data to resolve issues
- Deep understanding of Information Security principles to ensure compliant handling and management of data
- Advanced analytical and project management skills (DevOps, Extreme Programming, Agile, and Waterfall) for a variety of tasks or projects. Ability to deal with complex problems involving multiple facets, variables and situations where only limited standardization exists
- Extensive expertise in data technologies and the use of data to support software development, advanced analytics and reporting. Exposure to cloud technologies is a plus.
Other requirements
- Proven track-record in leading company-wide digital transformation initiatives and change management
- Mastery in Data và Analytics and is an industry expert on the latest data-related technology trends
- Bachelor's or Master's degree in statistics, mathematics, quantitative analysis, computer science, software engineering or information technology.
Work Experience
- 14+ years of relevant experience with modern data capability including scripting, developing, debugging and using big data technologies (e.g. Hadoop, Spark, Kafka or Tableau), database technologies (e.g. SQL, NoSQL, Graph databases), and programming frameworks (e.g. Python, R, Scala, Java) including 10+ years of equivalent managerial roles.
- Deep experience in designing and building dimensional ETL processes, data models, data warehouse concepts and methodologies, optimizing data pipelines and architecture
- Deep experience monitoring complex data issues, evaluating algorithmic approaches and examining data to resolve issues
- Deep understanding of Information Security principles to ensure compliant handling and management of data
- Advanced analytical and project management skills (DevOps, Extreme Programming, Agile, and Waterfall) for a variety of tasks or projects. Ability to deal with complex problems involving multiple facets, variables and situations where only limited standardization exists
- Extensive expertise in data technologies and the use of data to support software development, advanced analytics and reporting. Exposure to cloud technologies is a plus.
Other requirements
- Proven track-record in leading company-wide digital transformation initiatives and change management
- Mastery in Data và Analytics and is an industry expert on the latest data-related technology trends
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm "Ứng tuyển" ngay dưới đây.
Thông tin công ty
Giới thiệu
Ngân hàng Thương mại Cổ phần Kỹ Thương Việt Nam (Techcombank)
Ngân hàng thương mại cổ phần Kỹ Thương Việt Nam (hay còn được gọi là Techcombank; mã giao dịch: TCB) là một ngân hàng thương mại cổ phần của Việt Nam, được thành lập năm 1993 với số vốn ban đầu 20 tỷ đồng.
Giới thiệu về Ngân hàng Thương mại Cổ phần Kỹ thương Việt Nam
Cùng với Vietcombank, Viettinbank thì Techcombank là ngân hàng thu hút được số lượng khách hàng sử dụng sản phẩm lớn bởi các chính sách cũng như dịch vụ chăm sóc, tư vấn và hỗ trợ người dùng tốt. Nơi đây cung cấp các dịch vụ, sản phẩm tài chính tiền tệ với sự phát triển ổn định, bền vững, quy mô rộng rãi và tạo được sự tin tưởng cho khách hàng từ lâu.
Ngân hàng Techcombank tuyển dụng nhiều vị trí việc làm hấp dẫn
Với mạng lưới chi nhánh Techcombank (hay còn được gọi là Ngân hàng TMCP Kỹ Thương Việt Nam) trải rộng toàn quốc, ngân hàng này đã đáp ứng nhu cầu dịch vụ tài chính cho vay, gửi, thanh toán,... cho hơn 5 triệu khách hàng Việt. Sự phát triển mạnh mẽ của Techcombank với hơn 300 chi nhánh và phòng giao dịch trên cả nước, nhu cầu tuyển dụng nhân sự ngày càng cao. Trở thành nhân viên làm việc tại Techcombank, ứng viên sẽ có cơ hội được đào tạo, huấn luyện kỹ năng và kinh nghiệm trong môi trường chuyên nghiệp, năng động, cơ hội thăng tiến rõ rệt cùng với chế độ lương thưởng tốt.
Làm việc tại Ngân hàng Techcombank lương cao không?
Mức lương làm việc tại Ngân hàng Techcombank được tính theo kinh nghiệm, năng lực qua việc áp chỉ tiêu, doanh số. Vì vậy, nếu bạn có sự nỗ lực, cố gắng thì mức lương cũng tương đối ổn định. Ngoài mức lương cơ bản, nhân viên ngân hàng còn được hưởng các chế độ bảo hiểm, thưởng, phúc lợi khác theo quy định.Ứng tuyển vào Ngân hàng Techcombank cần bằng cấp không?
Nhiều vị trí tuyển dụng tại Ngân hàng Techcombank không đòi hỏi ứng viên có kinh nghiệm nên mở rộng cơ hội cho nhiều đối tượng. Tuy nhiên, hầu hết các vị trí đều yêu cầu ứng viên có bằng tốt nghiệp đại học trở lên các chuyên ngành tài chính ngân hàng, kinh tế hoặc chuyên ngành liên quan.Thông tin đăng ký kinh doanh Ngân hàng TMCP Kỹ thương Việt Nam (Techcombank)
Ngành nghề hoạt động Ngân hàng Techcombank
Sản phẩm
- Thẻ Techcombank.
- Trái phiếu iBond.
- Quỹ đầu tư iFund.
Dịch vụ
- Chuyển tiền liên ngân hàng, nộp phí bảo hiểm.
- Dịch vụ tài khoản.
- Ngân hàng điện tử.
- Tư vấn tiết kiệm.
- Vay vốn.
Thông tin liên hệ
Địa chỉ: Số 119 Trần Duy Hưng, Phường Trung Hòa, Quận Cầu Giấy, Hà Nội.
Một số vị trí Ngân hàng Techcombank tuyển dụng
Chuyên viên hỗ trợ bảo hiểm, Uiux Designer, chuyên viên khách hàng ưu tiên, chuyên gia đánh giá an ninh thông tin, chuyên viên khách hàng doanh nghiệp, chuyên viên cao cấp tiền lương và thuế, kiểm toán viên cao cấp.
Môi trường làm việc tại Techcombank
- Môi trường làm việc quốc tế
- Có nhiều seniors và experts xịn và sẵn lòng hỗ trợ, học hỏi được nhiều về chuyên môn.
- Nhịp độ làm việc nhanh, động lực làm việc từ lãnh đạo đến nhân viên đều cao
- Chính sách OT rõ ràng, hợp lý
Phúc lợi làm việc tại Techcombank
- Thu nhập: Lương cứng + thưởng KPI
- Cung cấp trang thiết bị đầy đủ để phục vụ công việc.
- Lộ trình đào tạo & phát triển công việc rõ ràng, cơ hội thăng tiến cao
- Cơ hội mở rộng phân khúc khách hàng chiến lược trong thị trường
- Làm việc trong môi trường năng động, chuyên nghiệp có nhiều cơ hội thăng tiến.
- Được hưởng các chính sách phúc lợi theo quy định của công ty.
- Được đào tạo, nâng cao nghiệp vụ thường xuyên.
Quy mô
Từ 5000 - 10.000 nhân viên Nhân viên
Địa chỉ
Techcombank Tower, 191 Bà Triệu, Phường Lê Đại Hành, Quận Hai Bà Trưng, Hà Nội
