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Data Modeller - Regulatory Excellence

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HSBC

1mo ago

  • Job
    Full-time
    Senior Level
  • Data
    Banking & Finance
  • Hyderabad, +1

AI generated summary

  • You should have 5+ years in data modelling in finance, Agile experience, knowledge of data governance, cloud exposure, familiarity with modelling tools, and ETL architecture insights.
  • You will assess operational risks, adapt to regulatory changes, implement risk control frameworks, and collaborate with management to address concerns.

Requirements

  • 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.
  • Good understanding of managing 'data as a product (asset)’ principle across enterprise domains and technology landscapes & architectural domains (business, data, application, and technology)
  • 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.
  • 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 reference/master data management, data modelling standards and modelling technical documentation using Entity Relationship Diagrams (ERD) or Unified Modelling language (UML) or BIAN.
  • 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
  • Exposure with ETL architectures and tools, including data virtualisation, integration with APIs is desirable.

Responsibilities

  • 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.”

FAQs

What is the role of the Data Modeller - Regulatory Excellence?

The Data Modeller - Regulatory Excellence is responsible for managing data as a product across enterprise domains and implementing the Operational Risk control framework, while also assessing operational risks associated with the role and ensuring compliance with legal and regulatory requirements.

What qualifications are required for this position?

A minimum of 5 years' experience in data management and modelling solutions within the Financial Services sector is essential. Candidates should preferably have experience in a Treasury/Finance function or related front office environment.

Are there specific tools or technologies that the candidate should be familiar with?

Yes, candidates should have experience with leading data modelling tools such as Visual Paradigm, ERwin, PowerDesigner, ER Studio, and should also be familiar with cloud solutions in GCP, AWS, or Azure, as well as big data solutions.

What methodologies do we use in projects?

The position requires experience working with Agile and Scrum methodologies in a large scalable Agile environment, including participation in daily standups and progress reporting.

Is there a focus on data governance in this role?

Yes, knowledge of data standards, data governance, data strategy, and data lineage is advantageous for this role, as well as exposure to data governance initiatives such as lineage, masking, retention policies, and data quality.

What type of documentation is expected from the Data Modeller?

The candidate should be able to produce technical documentation using Entity Relationship Diagrams (ERD), Unified Modelling Language (UML), or BIAN to illustrate data modelling standards.

Will the role involve working with ETL architectures?

Yes, experience with ETL architectures and tools, including data virtualization and API integration, is desirable for this position.

Is HSBC an equal opportunity employer?

Yes, HSBC is committed to building a culture where all employees are valued and respected, and encourages applications from all suitably qualified persons, regardless of gender, ethnicity, religion, or other factors.

What kind of professional development opportunities does HSBC offer?

HSBC takes pride in fostering continuous professional development, flexible working, and opportunities for growth within an inclusive and diverse environment.

How is personal data handled in the application process?

Personal data related to employment applications will be used in accordance with HSBC's Privacy Statement, which is available on their website.

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HSBC

Finance
Industry
10,001+
Employees
1880
Founded Year

Mission & Purpose

Opening up a world of opportunity for our customers, investors, ourselves and the planet. We're a financial services organisation that serves more than 40 million customers, ranging from individual savers and investors to some of the world’s biggest companies and governments. Our network covers 63 countries and territories, and we’re here to use our unique expertise, capabilities, breadth and perspectives to open up a world of opportunity for our customers. HSBC is listed on the London, Hong Kong, New York, Paris and Bermuda stock exchanges.

Culture & Values

  • We value difference

    Seeking out different perspectives

  • We succeed together

    Collaborating across boundaries

  • We take responsibility

    Holding ourselves accountable and taking the long view

  • We get it done

    Moving at pace and making things happen