Live opening · Posted 7 days ago

Customer Journey Expert – Logic & Rules / KYC Managed Data & NCA

ING Vysya Bank Limited · Bruxelles Avenue Marnix (ING)
Workday
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyING Vysya Bank Limited
LocationBruxelles Avenue Marnix (ING)
SourceWorkday
Listed7 days ago

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About the role

Description supplied by the original job listing.

Customer Journey Expert – Logic & Rules / Managed Data & NCA
Full-time, Brussels
Be part of a movement to build the backbone of KYC decisioning
Joining Logic & Rules means working at the heart of ING’s KYC foundations. Our squad designs, builds and maintains the logic, rules, risk engines and managed data that enable compliant, scalable, and automated Customer Due Diligence (CDD) processes across the bank.
Within this landscape, Managed Data and the NCA platform are two critical assets. Together, they underpin customer risk understanding, lifecycle monitoring and regulatory decisioning across onboarding, periodic reviews and event-driven processes.
What’s in it for you
We offer an environment where you can have a tangible impact on regulatory compliance, automation and large-scale risk management. You will work on foundational assets that are consumed bank-wide, in close collaboration with Business, Compliance, Risk, Architecture and IT engineering teams.
Your impact
Some of the key things you would be doing are:
Managed Data ownership – Own the functional design, lifecycle management and evolution of Managed Data tables, ensuring consistent, accurate and policy-compliant data across consuming applications.
NCA functional ownership – Contribute to the functional ownership of NCA as a core asset, focusing on lifecycle risk monitoring, rule-based triggers and interaction with downstream CDD processes.
Logic & rules design – Translate policy, regulatory requirements and risk frameworks into clear, traceable and deterministic rules implemented across Managed Data and NCA.
Risk lifecycle monitoring – Design and maintain logic that detects changes in customer circumstances and triggers appropriate events, reviews or cases via NCA.
Data & engine interaction – Define how Managed Data feeds and consumes NCA logic, ensuring alignment between customer data, risk indicators and decision outcomes.
Automation & industrialization – Increase straight-through processing by enabling rule-driven determination of data requirements, refresh triggers and lifecycle events, minimizing manual intervention.
Change & impact analysis – Assess regulatory changes, audits, incidents or model decisions and translate them into concrete updates to data structures, rules and NCA logic.
Stakeholder collaboration – Act as a key liaison between Compliance, Risk, Architects and IT teams to align on NCA, Managed Data and future target-state solutions.
Controls, traceability & auditability – Ensure that logic and data decisions are explainable, traceable and support supervisory reviews, audits and iRisk follow-up.
Who we are looking for
We are looking for professionals who are comfortable operating at the intersection of regulation, data and risk logic, and who enjoy working on foundational assets with bank-wide impact.
To succeed you should have most of the following skills:
Strong analytical and conceptual thinking, with the ability to translate policy and risk requirements into structured logic.
Affinity with risk engines, rules-based decisioning or lifecycle monitoring solutions such as NCA.
Experience managing complex stakeholder landscapes (Compliance, Risk, IT, Architecture).
Process and data-oriented mindset, focused on scalability and reusability.
Comfortable working in agile or change-driven delivery environments.
Qualifications
Bachelor’s or Master’s degree in Business, Finance, Data, IT or a related field.
Experience in communicating requirements to developers and working in a team managing assets/systems
Experience in understanding how business requirements translate to technical requirements
Experience with testing changes implemented in assets/systems
Experience with data platforms, rules engines or decision logic is a strong asset

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