Level

ING

Data Information Analyst - Regulatory Reporting WB @ ING Hubs Romania

AI in this role

Data Information Analyst to own wholesale banking data requirements and regulatory reporting implementations.

data-analysisdata-managementregulatory-reportingbusiness-modeling

Discover ING Hubs Romania


ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 2000 high-performing engineers, risk, and operations professionals. 


We started out in 2015 as ING’s software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from Bucharest.

Our tech capabilities remain the core of our business, with more than 1800 colleagues active in Data and Analytics Tech, Tech Foundation and Channels, Retail Core Banking and Architecture, and Global Products and Technology Services. 

We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.  

For us, impact isn't a perk. It's the driver of our work. We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?  

Here’s a sneak peak of what our colleagues say about working within ING Hubs Romania:

  • At ING, we're building the solutions of tomorrow, today | 80% of our colleagues in Romania agree



The Mission 

Wholesale Banking Data Management Platform, one of the largest global wide lake of ING, is actively onboarding new global flows and is transitioning the tactical solutions to the ING global model of storing and sending the data throughout the organization (Data Products). Apart from this we are implementing future proof, secure and standard (security) controls, monitoring mechanisms, automation, data quality metadata gathering processes.

 

Within the Tribe, the Data Information Analysists Chapter is responsible for unifying the ingested data from various sources, modeling business concepts, analyzing data and data-patterns, gathering, and analyzing requirements from consumers of the data, but also for contributing with requirements/ input to the design and execution of platform controls.



Your Day-to-Day


  • Own the end-to-end analysis and implementation of Wholesale Banking data requirements for the Dutch Deposit Guarantee Scheme (DGS), from regulatory interpretation through delivery, testing and operational adoption;
  • Translate DNB, DGS Control Standard and Single Customer View requirements into clear business rules, functional specifications, data definitions, acceptance criteria and implementable backlog items;
  • Perform functional and technical data analysis across party, account, balance, interest, eligibility, ownership, representation and blockage data, assessing product and customer scenarios for DGS applicability;
  • Create, validate and maintain source-to-target mappings and end-to-end lineage from local systems of record through the WB Data Lake and SCV DataMart to regulatory reporting outputs;
  • Own DGS metadata deliverables: define Critical Data Elements and local business terms, align them to ING’s global business language, and register approved definitions, mappings and lineage in Collibra or the applicable data catalogue;
  • Define and review data quality requirements and controls for completeness, accuracy, timeliness and reconciliation; investigate anomalies, identify root causes and coordinate sustainable remediation with source, data platform and reporting teams;
  • Support DGS governance and control activities, including Data Usage Agreements, regulatory evidence, control attestations, RCSA input, runbook updates and audit-ready documentation in line with Data Management Control Standards;
  • Partner with Product Owners and Product Leads to shape and prioritise the backlog, manage dependencies and impediments, and coordinate releases against regulatory milestones and quarterly or stress-test reporting timelines;
  • Engage Data Owners, Data Stewards, Finance, Risk, Compliance, Regulatory Reporting, Operations and technology stakeholders to resolve interpretation and implementation questions and secure timely decisions and sign-offs;
  • Coordinate delivery across Head Office, ING Hubs and Dutch-licensed Wholesale Banking locations, communicate progress and risks, and coach colleagues on DGS data requirements, models and governance practices.

 

What you’ll bring to the team:


  • Experience: substantial experience as a senior Data Information Analyst, Business Analyst or Data Analyst in banking, with demonstrable ownership of regulatory data change from requirements through implementation.

Tech stack/ knowledge:


  • Strong knowledge of the Dutch Deposit Guarantee Scheme, DNB Single Customer View and quarterly reporting expectations, including depositor, product, eligibility, representation, ownership, balance and blockage concepts;
  • Proven ability to interpret regulation, policy and control standards and convert them into precise business rules, functional requirements, data specifications and acceptance criteria;
  • Advanced functional and technical data analysis skills, including SQL, data profiling, reconciliation, root-cause analysis and validation of complex multi-source data flows;
  • Strong command of conceptual and logical data modelling, source-to-target mapping and end-to-end business and technical data lineage;
  • Hands-on experience with metadata management, Critical Data Elements, business glossary ownership and governance tooling such as Collibra; familiarity with data quality tooling is an advantage;
  • Understanding of regulatory data governance, Data Usage Agreements, control evidence, auditability and data quality controls within a governed banking data environment;
  • Broad Wholesale Banking product and customer-data knowledge, with the ability to assess DGS applicability across account types, legal entities, Financial Markets products and local source systems;
  • Confident stakeholder management across Product, Data, Technology, Finance, Regulatory Reporting, Data Owners and Data Stewards, including the ability to challenge constructively and drive decisions across teams and countries;
  • Delivery focus in an Agile environment: able to prioritise regulatory work, manage dependencies, communicate risks and progress, and maintain momentum under fixed reporting and control deadlines;
  • A self-starting, analytical and detail-oriented mindset, combined with clear communication, influencing, facilitation and coaching skills.

  • Foreign language: advanced English.
  • Education: bachelor’s or master’s degree in IT, Engineering, Mathematics, Economics, Finance, Business or a comparable field.

If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab). 


How we rate this

Data Information Analyst - Regulatory Reporting WB @ ING Hubs Romania at ING rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data AnalysisData ManagementRegulatory ReportingBusiness Modeling

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where data management was part of your work. What did you do?
  3. Tell me about a project where regulatory reporting was part of your work. What did you do?
  4. Tell me about a project where business modeling was part of your work. What did you do?

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  • List these exact terms on your resume: Data Analysis, Data Management, Regulatory Reporting, and Business Modeling. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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