Qureos Mentor

The Value Maximizer

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 This role focuses on enabling front-office, advisor, and trading operations through low-latency data pipelines, scalable architectures, and governed data platforms. You will work closely with trading desks, portfolio management, and digital platforms to deliver reliable, compliant, and high-throughput data solutions.
 
 Key Responsibilities
 
 
 Trading Data Platform Engineering
 
 
 
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 Design and build real-time and batch data pipelines supporting trading workflows (orders, executions, positions, market data)
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 Develop low-latency data processing systems for near real-time decisioning&middot; Build scalable data architectures for high-volume transaction data&middot; Enable event-driven architectures using streaming platforms (Kafka, Kinesis) Wealth Management &amp; Trading Integration
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 Integrate with trading platforms (OMS/EMS), portfolio systems, and advisor platforms&middot; Support use cases such as:
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 Trade lifecycle tracking (order &rarr; execution &rarr; settlement)
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 Portfolio performance and analytics&middot; Advisor dashboards and client reporting&middot; Ensure data consistency across front-, middle-, and back-office systems Data Engineering &amp; Architecture
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 Build and manage data lakes / lakehouse architectures (Delta Lake, Iceberg, etc.)
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 Develop ETL/ELT pipelines using modern frameworks&middot; Design data models optimized for trading and analytics workloads&middot; Implement API-driven data access layers for downstream consumption Performance, Scalability &amp; Reliability
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 Optimize pipelines for low latency, high throughput, and fault tolerance&middot; Implement data quality, reconciliation, and observability frameworks&middot; Ensure high availability and disaster recovery for critical trading data systems Governance, Risk &amp; Compliance
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 Implement data governance, lineage, and auditability&middot; Ensure compliance with regulatory requirements (SEC, FINRA, etc.)
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 Enable data security, entitlements, and access controls&middot; Support trade surveillance and reporting requirements Collaboration &amp; Delivery
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 Partner with trading desks, product teams, and architects to translate requirements into scalable data solutions&middot; Work closely with AI/analytics teams to enable downstream insights and models&middot; Mentor junior engineers and contribute to data engineering best practices Required Qualifications
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 7-12+ years of experience in data engineering or backend engineering&middot; Strong expertise in:
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 Python / Scala / Java&middot; SQL and distributed data processing (Spark, Flink, etc.)
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 Hands-on experience with:
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 Streaming platforms (Kafka, Kinesis, Pulsar)
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 Data lake / warehouse technologies (Snowflake, Databricks, Redshift)
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 Experience building real-time or near real-time data pipelines&middot; Strong understanding of data modeling and large-scale distributed systems Preferred Qualifications
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 Experience in Wealth Management or Capital Markets trading systems&middot; Familiarity with OMS/EMS platforms (e.g., Charles River Development, Aladdin, FIS)
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 Knowledge of market data (equities, fixed income, derivatives) and trade lifecycle / post-trade processing&middot; Experience with cloud-native data platforms (AWS, Azure, GCP)
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 Exposure to real-time analytics and risk systems
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 </ul>
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Data Engineer

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 We are seeking an experienced Senior Data Engineer / Data Architect with deep expertise in financial services and capital markets trading systems to design, build, and operate highly scalable, low latency data platforms. This role focuses on creating modern data lakehouse architectures, real time data pipelines, and analytics ready data models that support trading, risk, reporting, and regulatory requirements.The ideal candidate brings strong technical depth in distributed data systems, hands on experience with streaming and batch pipelines, and a solid understanding of trade lifecycle, market data, and regulatory compliance. You will work closely with trading desks, product teams, AI/analytics teams, and architects to deliver reliable, secure, and high performance data solutions.
 
 
 
 Job Title: Senior Data Engineer / Data Architect - Capital Markets
 
 
 Location: San Diego, CA
 
 
 Domain: Financial Services - Capital Markets / Trading Systems
 
 
 Required Qualifications:
 
 
 
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 7-12+ years of experience in data engineering, backend engineering, or distributed systems&middot; Strong programming expertise in Python, Scala, and/or Java&middot; Advanced SQL skills and hands on experience with distributed data processing frameworks such as Apache Spark or Apache Flink&middot; Extensive experience with streaming platforms including Kafka, Kinesis, or Pulsar&middot; Hands on experience with data lake and data warehouse technologies such as Databricks, Snowflake, Amazon Redshift, or similar platforms&middot; Proven experience building real time or near real time data pipelines&middot; Strong understanding of data modeling, distributed systems, scalability, and performance optimization Preferred Qualifications
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 Experience in Wealth Management or Capital Markets trading systems&middot; Familiarity with OMS/EMS platforms such as Charles River Development (CRD), Aladdin, FIS, or similar systems&middot; Strong knowledge of market data across equities, fixed income, derivatives, and other asset classes&middot; Understanding of the trade lifecycle, including order capture, execution, allocation, clearing, and post trade processing&middot; Experience with cloud native data platforms on AWS, Azure, or GCP&middot; Exposure to real time analytics, risk management systems, and regulatory reporting platforms
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 </ul>
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Senior Data Engineer / Data Architect

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 Job Summary
 
 We are looking for an experienced
 
 Scrum Master
 
 to lead Agile delivery for data-driven projects. This role requires a servant leader who can guide cross-functional teams, remove delivery roadblocks, and ensure successful execution of analytics programs that support business decision-making.The ideal candidate will have a strong understanding of Agile frameworks, stakeholder collaboration, and experience working alongside data analysts, engineers, and business teams in delivering scalable analytics solutions.
 
 Required Skills &amp; Qualifications: -
 
 
 
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 Bachelor's degree in Business, Technology, Data Analytics, or related field.
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 8+ years of experience as a Scrum Master / Agile Coach.
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 Strong knowledge of Scrum, Kanban, and Agile methodologies.
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 Experience working on Data Analytics / Business Intelligence projects.
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 Familiarity with tools such as JIRA, Confluence, Azure DevOps.
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 Understanding of data workflows, reporting processes, and analytics delivery lifecycle.
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 Ability to manage multiple priorities in a fast-paced environment.
 
 
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 </ul>
 
 Preferred Qualifications: -
 
 
 
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 Certified Scrum Master (CSM), SAFe, or equivalent Agile certifications.
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 Exposure to SQL, Tableau, Power BI, or analytics platforms.
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 Experience in financial services, healthcare, or enterprise data environments.
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 </ul>
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Scrum Master

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 Job Description
 
 
 
 Job Title: Oracle Fusion Enterprise Contracts - Document &amp; Email Management Integration Lead
 
 
 
 Location:
 
 Riyadh, KSA
 
 Department:
 
 Enterprise Applications / Cloud Integration
 
 Reports To:
 
 Head of Enterprise Solutions / Practice Lead
 
 
 Role Summary
 
 
 We are seeking an experienced
 
 Oracle Fusion Enterprise Contracts - Document &amp; Email Management Integration Lead
 
 to design, implement, and demonstrate a secure and scalable integration between Oracle Fusion SaaS and a third-party Document Management System (DMS), such as Egnyte or equivalent.This role combines solution architecture, integration delivery, compliance alignment, and client-facing demonstration capabilities. The ideal candidate will architect secure integrations using Oracle Integration Cloud (OIC), enable metadata-driven folder structures, ensure regulatory compliance (PDPL, NCA - KSA), and support structured email and document lifecycle management within enterprise contract environments.
 
 
 Key Responsibilities
 
 
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 Solution Architecture &amp; Integration
 
 
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 </ul>
 Design and implement secure integration between
 
 Oracle Fusion Enterprise Contracts
 
 and third-party DMS platforms.Develop integrations using
 
 Oracle Integration Cloud (OIC)
 
 or equivalent middleware.Enable metadata synchronization between Fusion contract objects and DMS folder structures.Establish object-level reference linking from Fusion to stored documents.Ensure secure API-based connectivity (REST/SOAP) with proper authentication and encryption standards.
 
 2. Document Management &amp; Folder Architecture
 
 
 
 Design configurable hierarchical folder structures aligned to:RegionsClustersOrganizational hierarchy changesImplement dynamic folder creation driven by contract metadata.Configure folder and sub-folder level permissions.Enforce least-privilege access and role-based security models.
 
 3. Email &amp; File Management
 
 
 
 Enable direct saving of emails and attachments from
 
 Microsoft Outlook
 
 into relevant deal/contract project folders.Implement person-centric filing models to support structured legal handovers.Configure document version control and audit tracking mechanisms.Align document storage practices with the enterprise contract lifecycle.
 
 4. Security, Compliance &amp; Governance
 
 
 
 Implement Identity &amp; Access Management (IAM) controls.Ensure audit logging, traceability, and monitoring capabilities.Align the solution with:
 
 PDPL (Personal Data Protection Law - KSA)
 
 
 NCA (National Cybersecurity Authority) compliance standards
 
 Validate data privacy, encryption, and secure integration design principles.
 
 5. Client Demonstration &amp; Solution Enablement
 
 
 
 Deliver structured demo sessions covering:Regional &amp; Cluster-Based Folder StructuresFile &amp; Email Management capabilitiesPresent architecture diagrams and integration approach to stakeholders.Conduct feasibility assessments and effort estimations.Recommend suitable DMS platforms based on prior implementation experience.
 
 
 
 Required Skills &amp; Experience
 
 
 
 
 Mandatory
 
 
 
 5+ years of experience with
 
 Oracle Fusion Cloud Applications
 
 Strong functional and technical knowledge of
 
 Oracle Fusion Enterprise Contracts
 
 Hands-on experience with
 
 Oracle Integration Cloud (OIC)
 
 Proven experience integrating SaaS applications with DMS platformsStrong understanding of REST/SOAP APIs and integration security patternsExperience with Identity &amp; Access Management frameworksKnowledge of compliance standards such as PDPL, NCA, or similar regulatory frameworks
 
 Preferred
 
 
 
 Integration experience with DMS platforms such as:EgnyteSharePoint OnlineOpenTextBoxM-FilesExperience implementing Outlook add-ins or enterprise email archiving solutionsExposure to Legal or Contract Lifecycle Management (CLM) environmentsFamiliarity with document versioning frameworks and audit governance models
 
 
 Key Deliverables
 
 
 High-Level Solution Architecture DocumentDetailed Integration Design DocumentDemo Environment for Required Use CasesSecurity &amp; Compliance Mapping DocumentationFeasibility and Effort Assessment Report
 
 
 
 Educational Qualifications
 
 
 
 Bachelor's or Master's degree in Computer Science, Information Systems, or a related fieldOracle Cloud certifications preferred
 
 
 Ideal Candidate Profile
 
 
 Hybrid functional-technical Oracle Fusion expertStrong integration architecture mindsetDeep understanding of enterprise security and compliance frameworks (KSA context)Confident in client-facing demos and stakeholder engagementExperienced in enterprise SaaS ecosystems and scalable integration solutions
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Oracle Fusion Enterprise Contracts Integration Lead

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The Value Maximizer

About Company

Data Engineer

Senior Data Engineer / Data Architect

Scrum Master

Oracle Fusion Enterprise Contracts Integration Lead