Data Analyst – LGD Data Automation, Methodology & Delivery

Background on what ING is about:

ING Hubs Philippines (ING Hubs PH) is an international part of the ING organization delivering services to many Business Units across the world for both Wholesale Banking and Retail Banking activities. Working for ING Hubs PH means working with the most diverse workforce and where no challenge is the same.

At ING our purpose is to empower people to stay a step ahead in life and business. We believe that sustainable progress is driven by people with the imagination and determination to make a better future for themselves and those around them.

ING is changing what banking is. For you, that means plenty of opportunities for personal growth in a continuously evolving environment. If this is the environment you thrive in, then apply and join us in changing the future of banking!

Job Overview

COO Risk sits right at the heart of the Bank’s complexity. We translate our rather complex banking business exposures into impact on risk weighted assets and provisions in line with the constantly changing business desires and the latest regulatory requirements. We are an integral part of the Credit Risk Modelling organization where we manage our processes from credit risk modeling approach definition all the way up to postproduction monitoring. We hereby offer a unique opportunity to enter one of Europe’s most appealing Banks at a key position that enables you to contribute, collaborate and grow!

In a nutshell, it is all about collaboration and understanding the end-to-end complexity of the Bank in particular its products and related credit risk exposures [including corresponding processing activities and the way these are underpinned with state of the art technology solutions]. If you have a natural drive to collaborate and a sense of urgency to conclude and deliver we would be very keen to get in touch!

Key Responsibilities

As a Data Analyst within the LGD Data Remediation team, you will be responsible for sourcing, processing, automating, analysing and delivering high-quality credit data. This data is a key input for ING’s global Wholesale Bank Credit Risk models (e.g., AIRB, FIRB, Feeder, IFRS9) and supports various model lifecycle processes such as development, recalibration, and monitoring. You will therefore work on some of the most impactful data processes and take on an active role in driving transformation and continuous improvement within the end-to-end process chain for ING.

As a Data Analyst, we expect you to:

• Play a key role in automating the sourcing and processing of credit risk data from multiple systems of record (SoRs), ensuring compliance with predefined sanity thresholds for modelling purposes

• Apply investigative approaches and enhanced logic to ensure high-quality output data that meets predefined thresholds for modelling purposes. This includes actively driving adoption and integration of AI solutions within our data operations processes

• Manage the end-to-end process for sourcing, processing, and delivering datasets according to established frameworks and tools. This can include taking full ownership for projects and initiatives driving our automation expansion and BaU delivery.

• Take a proactive approach to continuously improve efficiency and accuracy in data operations.

• Develop and manage end-to-end responsibility for Data Quality Frameworks applied to Credit Risk Data delivery processes

• Create and maintain clear technical documentation for development and operational workflows, ensuring compliance and supporting knowledge transfer within the team.

• Contribute to the preparation of data and analytics reports, transforming complex datasets into actionable insights for stakeholders.

• Advise and educate stakeholders on best practices for streamlining and standardizing data recording processes to ensure quality and consistency across systems. This includes serving as central PTA for our stakeholders on the data we deliver and the approaches we apply to further enhance quality and efficiency in our processes.

• Develop strategic solutions for data sourcing and delivery and provide advice to senior stakeholders and management

Key Capabilities/Experience

• Bachelor’s / Master’s degree, optimally in a quantitative area

• Significant experience and an excellent level with Version Control (Git), SAS and Python, SQL is a plus (Optimally with former experience in SAS Data automation work

• Good understanding of Credit Risk modelling (data) concepts

• A personality and the ability to function effectively and independently even in complex, high pressure situations

• Strong analytical skills with the ability to translate complex data and information into actionable roadmaps and decision proposals

• AI-savviness and experience in successfully implementing AI driven solutions in complex data processes is a plus

• Good understanding of corporate banking business, product and processes is a plus

• Experience in communicating and dealing with auditors and regulatory/supervisor authorities is a plus

• Understanding of data architectures/processes in the financial industry is a plus

• Good understanding of Financial Risk management is a plus

• Excellent level of English

Minimum Qualifications

You are curious, proactive, and analytical, with a strong sense of ownership and drive for delivery. You thrive in complex environments and are comfortable navigating ambiguity, high-pressure situations and working towards challenging deadlines as part of a high performing team.