Data Analyst within COO Risk

About the role

Are you passionate about data and ready to make an impact? ING is looking for an ambitious, enthusiastic, and driven Data Analyst to join COO Risk within The Center of Expertise Credit Risk Modelling Data. If you thrive on working with complex data in a fast paced environment and continuously seek ways to improve and transform processes, then we are looking for you!

The opportunity

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.

Work environment

COO Risk sits right at the heart of the Bank’s operations. 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 also provide important insights in NFR and Compliance topics and cater for corresponding regulatory reporting needs. COO Risk delivers baseline and change activities for the global Risk Organization with the purpose to drive our partners to maximize value in a safe & compliant environment. We play a critical role at ING and service all business lines, CROs and COOs of the Bank. COO Risk is committed to take explicit ownership of the end-to-end execution of regulatory transformation initiatives.

The Center of Expertise Credit Risk Modelling Data is responsible for delivering model-ready credit risk data for ING's global WB Credit Risk modelling landscape. The CoE acts as a single point of contact for modelling data sets, bringing together scoping, Default and LGD data capabilities while ensuring data is sourced, processed, delivered and governed in line with ING's regulatory and modelling standards.

The LGD Data Automation, Methodology & Delivery Product Group is taking full ownership for sourcing, processing, automating/manipulating and delivering high quality LGD Data while being the driving force to develop and expand automation efforts as well as integrating innovation such as AI technology into ING's CR data processes. The teams are handling critical processes and deliveries for ING’s modelling landscape and actively driving significant transformation initiatives within the credit risk data area.

Roles and responsibilities

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, including actively driving adoption and integration of AI solutions within data operations processes
• Manage the end-to-end process for sourcing, processing, and delivering datasets according to established frameworks and tools, including taking full ownership for projects and initiatives driving 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, serving as central PTA for stakeholders on delivered data and approaches to enhance quality and efficiency
• Develop strategic solutions for data sourcing and delivery and provide advice to senior stakeholders and management

Your competencies

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.

Required skills and experiences

• University / Postgraduate (Master’s degree), optimally in a quantitative area
• Experienced professional able to work unsupervised (13 months to 10+ years)
• 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/excellent understanding of Credit Risk modelling (data) concepts
• 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
• Basic experience of coordinating the work of others (4 to 6 months optimal but not a must)
• Experience with dynamic programming 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

Rewards and benefits

We want to make sure that it’s possible for you to strike the right balance between your career and your private life.

The benefits of working with us at ING include:

• 25-28 vacation days depending on contract
• Pension scheme
• 13th month salary
• 8% Holiday payment
• Hybrid working
• Personal growth and challenging work with endless possibilities
• An informal working environment with innovative colleagues