Job description

Business: Finance

Open positions:1

Role Title: Assistant Vice President GSC’s

Global Career Band: 5

Location (Country / City ): India- Hyderabad/ Gurgaon/ Chennai/ Bangalore/ Pune

Recruiter Name : Kiran

The Opportunity:

  • Finance Data Service (FDS) is a new business service delivered in partnership with Enterprise Technology and Data Analytics Office (DAO). It is a strategic solution to the issues of finance data quality, accessibility, and control which will provide entry to trusted source data for finance to consume and the data finance produces. It will also leverage new capabilities such as data virtualisation, and industrialise the capabilities created by Finance on the Cloud, enabling the Value Streams to accelerate both their day-to-day delivery and transformation.
  • Our vision is to create a self-service platform for the distribution of trusted data for Finance.
  • FDS will be an enabler for the wider Finance transformation agenda, regulatory compliance, and the provision of business insight. It will align to the Group Data Strategy and Technology Vision 27.

What you’ll do:

  • The FDS Data Team are seeking to recruit a Data Modeller with a passion for organising and transforming complex Finance data into actionable insights represented within data model structures that are fit for purpose. The role requires a strong analytical mindset, a good understanding of various data modelling techniques and tools with a proven track record. The individual should have exposure of designing and implementing efficient data models that cater to the data sourcing, storage and usage needs of the Finance business and/or Front-to-Back business domains within a global financial institution.
  • Support the design and develop FDS conceptual, logical and application data models as per HSBC's Future State Architecture (Data Asset Strategy) and work across Finance business teams to drive understanding, interpretation, design, and implementation.
  • Support Finance business and change teams to migrate to target state data models and Data Asset delivery, driving improvement on current feeds and data issues.
  • Develop data modelling schemas aligned with Enterprise data models and supporting Finance Data Assets.
  • Contribute to FDS program model development planning and scheduling.
  • Continuously improve FDS data modelling estate adhering to risks, controls, security, and regulatory compliance standards.
  • Advise and support Finance modelling data requirements that support new use case and data changes.
  • Serve as FDS data modelling subject matter expert.
  • Support Finance adoption and implementation of FDS data models to meet HSBC's strategic data needs.
  • Participate in data modelling and data architecture governance forums.
  • Coordinate and collaborate with cross-functional teams, change delivery teams, technology teams and subject matter expert - stakeholders.
  • Create and maintain a range of data modelling documents including model requirement, data flow diagrams, data catalogues, data definitions, design specification, data models, traceability matrices, data quality rules and more.
  • Be responsible for translating the Finance business requirements into the data modelling solution and Finance Data Assets.
  • Conduct a continuous audit of data models and refine whenever required, this includes the reporting of any challenges issues or risks to senior management.
  • Ensure Finance data models align with Enterprise data models and adhere to Enterprise Architecture principles and standards.
  • Seek opportunities to simplify, automate, rationalise, and improve the efficiency of Finance IT and modelling solutions.
  • Update and maintain the key FDS modelling artefacts, (i.e., Confluence, SharePoint, documents, reports, roadmap, and other domain artefacts).
  • Provide data modelling and technical advice as well as maintain ongoing relationships.
  • Provide feedback in a timely manner to ensure that model development or modification meets the business need.
  • Communicate FDS data modelling solutions to both technical and non-technical audiences, ensuring the communication style is appropriate for the intended audience.
  • Support cross-program, and cross-group Data Assets execution and delivery strategies, opportunities, and problem resolution.

Control:

  • Understand, follow, and demonstrate compliance with all relevant internal and external rules, regulations and procedures that apply to the conduct of the business in which you are involved, specifically Internal Controls and any Compliance policy including, inter alia, the Group Compliance policy.
  • Maintain HSBC Internal Control standards, including the timely implementation of internal and external audit points together with any issues raised by external regulators. Be aware of the Operational Risk scenario associated with your role and act in a manner that takes account of operational risk considerations.
  • This job description is non-contractual and is intended only as a summary of your role and responsibilities from time to time. This document will be subject to review by you and your line manager as appropriate during the course of your employment.

Management of Risk:

  • The jobholder will continually reassess the operational risks associated with the role and inherent in the business, taking account of changing legal and regulatory requirements, operating procedures and practices, management restructurings, and the impact of innovative technology.
  • This will be achieved by ensuring all actions take into account the likelihood of operational risk events, and by addressing any areas of concern in conjunction with line management and/or the appropriate department.
  • The role will implement the Operational Risk control framework and per the BRCMs – “Three Lines of Defence.”

Requisitos

What you will need to succeed in the role:

Essential Experience & Competencies

Business

  • Minimum of 5 years' experience of Data management and modelling solutions working as a Data Modeller within the Financial Services sector is essential; preferably in a Treasury/Finance function and or related front office environment.
  • A proven track record working in a large and global banking environment is desirable.
  • Demonstrate experience in design data modelling solutions (conceptual, logical and application/messaging) with corresponding phasing, transitions, and migrations where necessary.
  • Good understanding of managing 'data as a product (asset)’ principle across enterprise domains and technology landscapes.
  • Good understanding of architectural domains (business, data, application, and technology)
  • Good communication skills with the ability to influence and present data models (as well as concepts) to technology and business stakeholders.
  • Good collaboration skills with the ability to demonstrate experience achieving outcomes in a matrixed environment partnering with data modellers from other domains to build and join shared and reusable data assets.

Technical

  • Experience of working with Agile and Scrum in a large scalable Agile environment. This should include participation and progress reporting in daily standups.
  • Data standards, data governance, data strategy and data lineage would be advantageous in this role.
  • Knowledge of reference/master data management
  • Cloud exposure to solutions implemented in either GCP, AWS or Azure would be beneficial as well as having exposure to big data solutions would be advantageous.
  • Experience working with leading data modelling tools modelling documentation using tools such as Visual Paradigm, ERwin, PowerDesigner, ER Studio etc.
  • Knowledge of data modelling standards and modelling technical documentation using Entity Relationship Diagrams (ERD) or Unified Modelling language (UML) or BIAN.
  • Results oriented with ability to produce solutions that deliver organisational benefit.
  • Understanding of issue and data quality management, prioritisation, business case development, remediation planning and tactical or strategic solution delivery
  • Exposure with data governance initiatives such as lineage, masking, retention policy, and data quality
  • Strong analytical skills and problem-solving, with the ability to work unsupervised and take ownership for key deliverables.
  • Exposure with ETL architectures and tools, including data virtualisation, integration with APIs is desirable.
  • Approach problems with an open mind and challenge to ensure appropriate pragmatic clean designs.

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You’ll achieve more at HSBC

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

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***Issued By HSBC Electronic Data Processing (India) Private LTD***

Nombre del recruiter
Kiran .
Email del recruiter
kiran@hsbc.co.in