Leads end-to-end architecture analysis, design and delivery on banking consulting and implementation programmes, combining deep domain expertise with a strong command of modern technologies to shape clients' digital transformation.
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Lead architecture analysis, design and delivery on banking transformation programmes, acting as the primary technical reference for clients and delivery teams.
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Define target-state architectures spanning core banking, digital channels, payments, cards and CRM.
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Drive migration from monolithic platforms towards modular, API-first, cloud-native architectures.
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Produce high-level designs, architecture diagrams, flow diagrams and other design artefacts to communicate solutions effectively.
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Define and lead technology and solution roadmaps in collaboration with client stakeholders.
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Evaluate and recommend core banking packages and ecosystem solutions (Temenos, Mambu, Finacle, Oracle FLEXCUBE, nCino, Salesforce FSC, etc.).
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Support pre-sales activities: proposals, RFP responses, solutioning and effort estimations.
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Mentor junior architects and foster a culture of technical excellence.
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Minimum 8–10 years of experience in Banking consulting and/or implementation projects.
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Proven track record as a technical or solution architect in banking transformation programmes.
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Experience working with Tier 1 or Tier 2 banking institutions.
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Familiarity with relevant regulatory frameworks (PSD2, Open Banking, DORA, Basel III, AML/KYC).
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Nice to have: Platform knowledge on any Temenos, Oracle Banking, TM, Mambu, Intellect Design, SAP
Candidates are expected to have hands-on experience across several of the following domains, with recognised depth in at least one:
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Core Banking: Deposits, Lending, Mortgages, Insurance, Securities; knowledge of BIAN framework is valued.
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Payments: SEPA, SWIFT, High-Value Payments, Card Payments, ISO 20022.
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Digital Banking: online/mobile banking, Open Banking, customer onboarding.
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CRM & Customer Engagement (Salesforce FSC, MS Dynamics or similar).
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Risk, Compliance and Regulatory Reporting.
Candidates are expected to demonstrate breadth across modern technology disciplines, with recognised depth in several of the following areas:
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Architecture patterns: Microservices, Event-Driven Architecture, API-first, Domain-Driven Design.
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Cloud platforms (AWS, Azure or GCP), including deployments for regulated industries.
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Integration technologies: REST/SOAP APIs, Kafka, MQ, Apache Camel or equivalent.
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Data architecture and business intelligence: data modelling, data platforms, analytics and BI tooling.
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AI/ML applied to banking use cases (fraud detection, credit scoring, personalisation).
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DevSecOps: CI/CD, Infrastructure as Code, containerisation (Docker, Kubernetes).
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Agile and scaled agile methodologies (SAFe, Scrum).
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Fluent in English, written and spoken; additional languages are a plus.
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Strong communication skills; able to present complex topics to executive audiences.
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Familiarity with AI tools as part of day-to-day working practice.
Willingness to travel to client sites as required
