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IT Business Analyst for Credit Risk Tribe (Raw Feed Distribution)

ExperiencedNo visa sponsorship
ING Bank logo

at ING Bank

Other

Posted 9 days ago

No clicks

**IT Business Analyst for Credit Risk Tribe (Raw Feed Distribution):** - **Responsible for** streamlined end-to-end risk data delivery at ING, collaborating with multiple teams and coordinating with diverse tribes. - **Key Tasks:** Data analysis, process enhancement, stakeholder communication, roadmap development, backlog management, and priority optimization. - **Required Skills:** Data warehousing, ETL, SQL, Oracle PL/SQL, Agile tools (Azure DevOps, Confluence), data management, analysis of complex datasets, problem-solving, stakeholder management, and exceptional project management skills.

Compensation
Not specified

Currency: Not specified

City
Manila
Country
Not specified

Full Job Description

Data Distribution Squad, part of the COO Risk Organization. This team is responsible for delivering unaltered calculated risk data to all internal and external consumers within ING for modeling, reporting, and dashboarding purposes. The team also supports the enhancement and maintenance of risk data distribution. Our overarching goal is to establish a more centralized approach to risk data delivery, streamline processes, and eliminate redundant requirements impacting Credit Risk, which involves close coordination with many tribes.

We offer a unique opportunity to join one of Europes most prestigious banks in a key position that enables you to contribute, collaborate, and grow!

Key Responsibilities:

  • Execute all data distribution activities such as data analysis, validating, combining and interpreting data by collaborating with multiple teams across ING to manage the end-to-end data delivery process.
  • Enhance data delivery processes, ensuring the quality, consistency, and accuracy of data.
  • Foster connections among colleagues, topics, and expertise, maintaining continuous communication with all relevant stakeholders.
  • Create a structured roadmap for all data delivery activities.
  • Create and manage product backlog items, and order the backlog to maximize business value. Prioritize as new information emerges, and keep stakeholders informed.


Key Capabilities/Experience

  • Experience in data warehousing, ETL concepts, SQL, Oracle PL/SQL is a plus.
  • Familiarity with agile tools such as Azure DevOps and Confluence.
  • Data Management Experience:
    • Familiar with data, advanced analytics, and data-driven products particularly in financial or credit risk.
    • Expertise in interpreting, processing, and analyzing large and complex datasets from various sources.
    • Ability to ensure the accuracy and completeness of data for reporting purposes.
    • Capability to identify and implement more efficient methods for data distribution.
  • Proficient in identifying problems, analyzing key information, and making connections to find appropriate solutions.
  • Vigilant in data analysis to ensure correct conclusions.
  • Ability to translate stakeholder requirements into actionable implementation plans.
  • Ability to manage difficult and senior stakeholders of the bank.
  • Excel in dynamic environments with strong analytical skills and creative problem-solving abilities.
  • Genuine team player, achieving objectives through close collaboration with colleagues from diverse disciplines and backgrounds.
  • Strong writing and communication skills with an ability to present topics clearly and succinctly to various audiences.

Exceptional coordination, roadmap planning, backlog management and project management skills.

IT Business Analyst for Credit Risk Tribe (Raw Feed Distribution)

Compensation

Not specified

City: Manila

Country: Not specified

ING Bank logo
Other

9 days ago

No clicks

at ING Bank

ExperiencedNo visa sponsorship

**IT Business Analyst for Credit Risk Tribe (Raw Feed Distribution):** - **Responsible for** streamlined end-to-end risk data delivery at ING, collaborating with multiple teams and coordinating with diverse tribes. - **Key Tasks:** Data analysis, process enhancement, stakeholder communication, roadmap development, backlog management, and priority optimization. - **Required Skills:** Data warehousing, ETL, SQL, Oracle PL/SQL, Agile tools (Azure DevOps, Confluence), data management, analysis of complex datasets, problem-solving, stakeholder management, and exceptional project management skills.

Full Job Description

Data Distribution Squad, part of the COO Risk Organization. This team is responsible for delivering unaltered calculated risk data to all internal and external consumers within ING for modeling, reporting, and dashboarding purposes. The team also supports the enhancement and maintenance of risk data distribution. Our overarching goal is to establish a more centralized approach to risk data delivery, streamline processes, and eliminate redundant requirements impacting Credit Risk, which involves close coordination with many tribes.

We offer a unique opportunity to join one of Europes most prestigious banks in a key position that enables you to contribute, collaborate, and grow!

Key Responsibilities:

  • Execute all data distribution activities such as data analysis, validating, combining and interpreting data by collaborating with multiple teams across ING to manage the end-to-end data delivery process.
  • Enhance data delivery processes, ensuring the quality, consistency, and accuracy of data.
  • Foster connections among colleagues, topics, and expertise, maintaining continuous communication with all relevant stakeholders.
  • Create a structured roadmap for all data delivery activities.
  • Create and manage product backlog items, and order the backlog to maximize business value. Prioritize as new information emerges, and keep stakeholders informed.


Key Capabilities/Experience

  • Experience in data warehousing, ETL concepts, SQL, Oracle PL/SQL is a plus.
  • Familiarity with agile tools such as Azure DevOps and Confluence.
  • Data Management Experience:
    • Familiar with data, advanced analytics, and data-driven products particularly in financial or credit risk.
    • Expertise in interpreting, processing, and analyzing large and complex datasets from various sources.
    • Ability to ensure the accuracy and completeness of data for reporting purposes.
    • Capability to identify and implement more efficient methods for data distribution.
  • Proficient in identifying problems, analyzing key information, and making connections to find appropriate solutions.
  • Vigilant in data analysis to ensure correct conclusions.
  • Ability to translate stakeholder requirements into actionable implementation plans.
  • Ability to manage difficult and senior stakeholders of the bank.
  • Excel in dynamic environments with strong analytical skills and creative problem-solving abilities.
  • Genuine team player, achieving objectives through close collaboration with colleagues from diverse disciplines and backgrounds.
  • Strong writing and communication skills with an ability to present topics clearly and succinctly to various audiences.

Exceptional coordination, roadmap planning, backlog management and project management skills.