Qureos Mentor

Capitex

<div>PROGRAMME CONTEXT
Capitex is sourcing specialist resource into the Data workstream of a live Fenergo (Fenx) CLM implementation. The programme is delivering client lifecycle management, KYC/CDD and onboarding capability for a regulated financial institution, with the Data workstream responsible for migrating and validating client, entity and due-diligence data into the Fenergo platform.
This role provides hands-on data depth alongside the configuration and testing workstreams, ensuring migrated data is complete, accurate and fit to drive the configured rules, risk scoring and lifecycle journeys.
ROLE OVERVIEW
The Data Analyst owns source-to-target data mapping, migration and validation activity &mdash; translating legacy and golden-source client/entity data into the Fenergo data model and proving its integrity end-to-end. The role works closely with configuration/BA, testing and client-side data owners to deliver clean, reconciled, audit-ready data.
KEY RESPONSIBILITIES
<ul><li>Define and document source-to-target data mapping from legacy systems and golden sources into the Fenergo CLM / entity data model.</li><li>Author data mapping specifications and transformation rules; maintain mapping documentation as requirements evolve.</li><li>Support and execute data migration (ETL) of client, entity, KYC/CDD and supporting document data into Fenergo.</li><li>Design and run data validation and reconciliation &mdash; pre- and post-migration &mdash; including exception handling and remediation.</li><li>Profile source data quality; identify gaps, duplicates and anomalies and drive resolution with data owners.</li><li>Ensure migrated data correctly supports configured risk rules, scoring and workflow triggers, liaising with the configuration workstream.</li><li>Produce data quality metrics, reconciliation evidence and audit-ready sign-off artefacts for stakeholders.</li></ul>
ESSENTIAL EXPERIENCE
<ul><li>Hands-on data migration / mapping experience on a Fenergo (CLM) implementation.</li><li>Strong source-to-target data mapping and ETL experience on enterprise platform migrations.</li><li>Advanced SQL; confident profiling, validating and reconciling large datasets.</li><li>KYC / CDD / AML data domain knowledge &mdash; client and entity data structures, risk and due-diligence attributes.</li><li>Demonstrable data validation, reconciliation and data-quality discipline on regulated programmes.</li></ul>
DESIRABLE
<ul><li>Banking / Corporate &amp; Institutional Banking or Private/Wealth experience.</li><li>Experience with golden-source / master-data and entity-resolution concepts.</li><li>Oracle / SQL Server, and ETL tooling (e.g. SSIS, DataStage or equivalent).</li><li>SC clearance (or eligibility).</li><li>Exposure to Fenergo rules / event-based messaging and the wider CLM ecosystem.</li></ul>
TOOLS &amp; TECHNICAL ENVIRONMENT
Fenergo CLM, SQL (Oracle / SQL Server), ETL tooling, data profiling and reconciliation tools, JIRA / Confluence; Agile (Scrum / Kanban) delivery environment.</div>

Fenergo CLM Data Analyst / Migration Specialist

<div>Financial Crime Compliance &mdash; Process Mapping, Business Analyst
Financial Crime Compliance &mdash; Process Mapping, Business Analyst
Location: UAE Experience: 5&ndash;10 years in FCC, process improvement, and process mapping
Key Responsibilities
1. Process Mapping Requirements
<ul><li>Map financial crime risk processes end-to-end across various segments, units, and teams.</li><li>
Process maps must include activities, decision points, handoffs, and dependencies.</li><li>
Processes should be documented using a standard methodology.</li><li>
Identify and map MI / KPI / KRIs related to the processes and the governance forums to which they are reported, including oversight responsibilities.</li></ul>
2. Stakeholder Engagement
<ul><li>Engage process owners, risk owners, compliance teams, governance, and operations to validate process flows.</li><li>
Facilitate workshops and walkthroughs to ensure accurate representation of current-state processes.</li></ul>
3. System and Data Identification
<ul><li>Identify all systems, tools, and data sources used within each process.</li><li>
Document manual vs. system-driven steps and data handoffs.</li></ul>
4. Risk and Control Visibility
<ul><li>Capture key risk points, controls, approvals, and escalation paths within each process.</li><li>
Ensure alignment with financial crime regulatory requirements.</li></ul>
5. AI &amp; Automation Readiness
<ul><li>Highlight manual, repetitive, and decision-heavy steps suitable for AI or automation.</li><li>
Identify process steps that rely on rules, thresholds, or judgement which could benefit from AI models.</li></ul>
6. Consistency &amp; Standardisation
<ul><li>Identify process variations across business units.</li><li>
Recommend opportunities for process standardisation and consolidation, where feasible.</li></ul>
7. Documentation &amp; Deliverables
<ul><li>Provide validated, Process Owner sign-off process maps, process narratives, and RACI views.</li><li>
Deliver outputs in a reusable, audit-ready format suitable for future AI and transformation initiatives.</li><li>
Report progress and outcomes to key sponsors including Compliance and respective Process Owners.</li></ul>
8. Knowledge Transfer
<ul><li>Ensure proper handover and walkthroughs so internal teams can maintain and evolve the process maps.</li></ul></div>

FCC SME - Process Mapping (Contract)

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Fenergo CLM Data Analyst / Migration Specialist

FCC SME - Process Mapping (Contract)