Associate Director to help build and deliver our Financial Crime Transformation & Optimisation capability across banking, payments, asset management and other regulated financial services firms, focusing on AML, sanctions and fraud.
Responsibilities
Lead financial crime transformation and optimisation engagements across AML, sanctions and fraud.
Design and implement target operating models, processes, controls and governance arrangements.
Lead regulatory remediation programmes and responses to regulatory reviews, including skilled person work.
Assess financial crime operations to identify control weaknesses, duplication, unnecessary manual activity and opportunities for simplification or automation.
Help clients integrate financial crime technology, data and AI into their operating models while maintaining appropriate governance, auditability and human oversight.
Provides a consistent facilities management standard across client sites; building and documenting the account's SOPs, escalation paths, and operating rhythm
Manages supplier base appropriate to each client site; holds vendors to contract, quality, cost, and safety requirements
Provides client visibility of cost and service performance from its own system of record; designing the KPI scorecard with the client and reporting performance on a fixed cadence
Standing up the client governance model, including operating reviews, QBRs, and contract compliance tracking
Leading client stakeholder relationships as the trusted advisor, translating expectations into delivery commitments
Develop and lead the group-wide Data & AI platform strategy for Orca Group, creating the technological foundation for next-generation products with a focus on AI and agent-based functions.
Locations (2)
München, Bavaria, Germany
Rosenheim, Bavaria, Germany
Responsibilities
Entwickle und verantworte die gruppenweite Data- & AI-Platform-Strategie und priorisiere gemeinsam mit Product und Engineering die relevanten Daten, Use Cases und Plattform-Capabilities.
Baue eine gemeinsame, skalierbare Datenplattform mit Datenpipelines, gemeinsamen Domain-Modellen und messbarer Datenqualität über unsere Produkte hinweg auf.
Entwickle unsere Datenbasis für AI Agents weiter und ermögliche einen sicheren, berechtigungsgesteuerten Zugriff über moderne Retrieval-, Search- und Context-Lösungen.
Gestalte offene APIs und agentenfähige Schnittstellen, über die unsere Produkte, Partner und Kunden sicher mit unseren Daten und Plattform-Services arbeiten können.
Baue gemeinsame AI-Platform-Services für unsere Product Teams auf – von Retrieval und Evaluation über Model Routing und Guardrails bis zu Monitoring und Observability.
Lead Echelon’s technical presales and solution strategy for AI, cloud and digital transformation opportunities across Government and Telco clients in KSA.
Responsibilities
Lead ideation and strategy workshops with C-level and senior government executives to define their AI vision and ambition
Co-create AI transformation strategies: identify and prioritise high-value use cases, assess AI readiness, and define target operating models
Translate strategy into phased roadmaps with business cases, governance, data foundations and quick wins
Shape new opportunities from strategy engagements, converting executive vision into fundable programmes
Own technical presales end to end: discovery, solution design, demos/PoCs, RFP/RFI responses, technical proposals and pricing inputs
Requirements
Master’s degree in Computer Science, Engineering or a related field
Nice to have: Saudi national
Nice to have: Fluent Arabic
Nice to have: Fluent English
Nice to have: Professional cloud/architecture certifications (e.g. Azure, AWS or GCP architect)
The Lead Engineer will provide senior engineering leadership across two strategic teams: the Risk Data Team and the Risk AI Engineering Team. This role is accountable for setting technical direction, aligning engineering execution to business outcomes, and ensuring both teams deliver secure, scalable, reliable and measurable risk products.
Compensation
170,000 - 221,750 annually
Responsibilities
Lead the combined Risk Data and Risk AI Engineering organization, providing strategic direction, accountability, and oversight across both teams.
Manage and develop Managing Engineers while building leadership capability and strengthening engineering talent across the organization.
Translate TORC strategy into engineering roadmaps, delivery plans, measurable goals, and technical priorities.
Ensure delivery of trusted, governed, analytics-ready risk data products, dashboards, reporting, automation capabilities, and AI solutions embedded within risk workflows.
Align data and AI strategies to ensure AI capabilities are built on reliable, high-quality, governed risk and control data.
Support a leading US-based financial services organization as a Technical Business Analyst, bridging business needs and technical delivery across distributed teams.
Responsibilities
Act as the primary interface between technology teams and business stakeholders to understand, structure, and translate complex requirements into actionable features.
Navigate across multiple business units to align priorities, resolve conflicting demands, and serve as a gatekeeper for incoming requests.
Define and maintain the product roadmap, ensuring alignment with strategic goals and technical feasibility.
Partner with senior engineers and architects during story grooming and sprint planning, ensuring clarity, technical soundness, and value alignment.
Oversee the end-to-end requirements lifecycle: elicitation, documentation, prioritization, and acceptance.
Manager Smart Building H/FNewOrange S.A. · Nanterre, France
Data & AI Platform Lead (m/w/d)NewOrca Group GmbH · München, Germany+1 more
Technology Lead, Government & TelecomNewEchelon · Riyadh, Saudi Arabia
Senior Product ManagerNewTekion · Chennai, India
Lead Engineer, Data (Remote, US)NewAllstate · Remote, US
Senior Technical Business AnalystNewION Group · Budapest, Hungary
Consultant Senior Smart Building H/FNewOrange Business · Nanterre, France