Data Analyst within COO Risk

ING is looking for aData Analyst within COO Risk

Are you passionate about data and ready to make an impact?ING is looking for an ambitious, enthusiastic, and driven Data Analyst to joinCOO Risk within TheCenterof Expertise Credit Risk Modelling Data. If you thrive on working with complex data and continuously seek ways to improve processes,then we are looking for you!

The opportunity

As a Data Analyst within Data Remediation, you willbe responsible forsourcing, processing, automating,analyzing, 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.

Work environment

COO Risk sits right at the heart of the Bank’s operations. We translate ourrather complexbanking business exposures into impact on risk weighted assets and provisions in line with the constantly changing business desires and the latest regulatory requirements. We alsoprovideimportant insights in NFR and Compliance topics and cater for corresponding regulatory reporting needs. COO Risk delivers baseline andchangeactivities for the 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.

TheCenterof Expertise Credit Risk Modelling Datais responsible fordelivering 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,deliveredand 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,manipulatingand 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.

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). 

• Apply investigative approaches and enhanced logic to ensure high-quality output data that meets predefined thresholds formodellingpurposes.

• Manage the end-to-end process for sourcing, processing, and delivering datasets according to established frameworks and tools. 

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

• Create andmaintainclear 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.

• 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.

Your competencies

You are curious, proactive, and analytical, witha strong senseof ownershipand drive for delivery. You thrive in complex environments and are comfortable navigating ambiguity,high-pressure situationsand working towards challenging deadlines.

Requiredskills andexperiences

• University / Postgraduate (Master’sdegree)

• General Experience: Experienced practitioner able to work unsupervised (13 months to 3 years)

• Managerial Experience: Basic experience of coordinating the work of others (4 to 6 months)

• Action oriented, Business Insights, Cultivates Innovation, Collaborates, Manages Complexity, Tech Savvy

• Experience with SAS and Python, SQL is a plus

• Dynamic programming

• Good understanding of Credit Risk modelling concepts

• Good understanding of Financial Risk management is a plus

• A personality and the capabilities to function effectively and independentlyeven incomplex,high pressure situations

• Strong analyticalskills with the ability to translate complexdata and information into actionable roadmaps and decision proposals

• Excellent level of English