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Data Quality Professional

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ING

7d ago

  • Job
    Full-time
    Mid Level
  • Data
    Banking & Finance
  • Manila
  • Quick Apply

AI generated summary

  • You should have 3+ years in data analysis, SAS proficiency, Data Quality Management knowledge, strong analytical skills, and effective communication for diverse audiences. Banking knowledge is a plus.
  • You will analyze credit risk model data requirements, conduct data quality checks, remediate issues, perform root cause analysis, and collaborate with stakeholders to ensure effective data delivery.

Requirements

  • Experience in performing data analyses using SAS Enterprise Guide (or SAS Base).
  • At least 3 years of experience in a data analysis-oriented function.
  • An analytical, curious, and “challenger” mindset.
  • Knowledge on Data Quality Management practices such as Data Remediation, Data Profiling, DQ Assessment, Data Cleansing, Root-Cause analysis, etc.
  • Assertive and open to feedback and ideas from others.
  • Flexible and easy in communicating complex topics and solutions to varying audience (i.e. data users, systems owners and Front Office/Relationship Managers).
  • Knowledge and understanding on the flow of data is an advantage.
  • Background or knowledge on bank regulations, credit risk, risk model data is an advantage.

Responsibilities

  • Conduct thorough analysis and articulation of credit risk model data requirements, identification and understanding of specific data quality issues to ensure effective remediation and delivery of the data to the users.
  • Perform data quality checks on the critical data elements for model data and identify the main data quality issues that require remediation.
  • Perform remediation of the data based on agreed requirements and deliver the remediated data to end users.
  • Perform root cause analysis on prioritized Data Quality issues to determine appropriate fix forward, fix backward actions or remediation plans.
  • Collaborate and communicate with partners/stakeholders within the Wholesale Banking domain (Modelling, Data, Front Office representatives in the local business units across the globe and many more).
  • Work with key stakeholders to align expected turnaround times for remediation, gain approval for suggested remediation actions, coordinate the appropriate action with the teams that are responsible for executing those actions and monitor remediation actions till closure.

FAQs

What is the main purpose of the Data Quality Professional role at ING?

The main purpose of the Data Quality Professional role at ING is to support data collection, data analyses, and data remediation within the Wholesale Banking Domain, contributing to a culture of continuous improvement in Data Quality.

What are the key responsibilities of this position?

The key responsibilities include conducting analyses of credit risk model data requirements, performing data quality checks, remediating data, performing root cause analyses on data quality issues, and collaborating with various stakeholders within the Wholesale Banking domain.

What tools or software should candidates be familiar with?

Candidates should have experience in performing data analyses using SAS Enterprise Guide or SAS Base.

What qualifications are required for this position?

At least 3 years of experience in a data analysis-oriented function and knowledge of Data Quality Management practices such as Data Remediation, Data Profiling, Data Quality Assessment, Data Cleansing, and Root-Cause analysis are required.

Is prior experience with bank regulations or credit risk necessary?

While not mandatory, a background or knowledge of bank regulations, credit risk, and risk model data is considered an advantage.

How important is collaboration in this role?

Collaboration is very important as the role involves working with partners and stakeholders across the Wholesale Banking domain, including modelling, data teams, and local business units worldwide.

What interpersonal skills are important for a Data Quality Professional?

Assertiveness, openness to feedback, effective communication skills to explain complex topics to a diverse audience, and the ability to challenge existing norms are important interpersonal skills for this role.

What types of analysis will the Data Quality Professional be conducting?

The Data Quality Professional will conduct thorough analyses of data requirements, performance data quality checks, and root cause analyses on prioritized data quality issues.

Is flexibility a requirement for this position?

Yes, flexibility is required in terms of adapting to changing situations and collaborating with various teams to execute data quality remediation actions effectively.

Do we support career development and growth in this role?

Yes, at ING, we value and support career development opportunities for all colleagues, including those in the Data Quality Professional role.

Empowering people to stay a step ahead in life and in business.

Finance
Industry
10,001+
Employees
1991
Founded Year

Mission & Purpose

ING is a pioneer in digital banking and on the forefront being one of the most innovative banks in the world. As ING we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or to tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realize their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers.