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business development manager

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ai / emerging tech security analyst

analyst

business analyst

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are looking for a
 
 Business Data Analyst
 
 to join our Data Management and AI team and support data-driven decision-making across our digital banking platform.
 
 
 In this role, you will work closely with business stakeholders and technical teams to translate business questions into measurable metrics, build dashboards, and ensure that data insights support business objectives.
 
 
 This position is ideal for a
 
 junior analyst
 
 who is passionate about data, analytics, and financial technology and wants to grow within a fast-paced fintech environment.
 
 
 Team Overview
 
 
 The
 
 Data Management and AI team
 
 works across the entire technology stack at QNBeyond Plus, enabling advanced analytics, reporting, and AI-driven insights.
 
 
 Our team collaborates with multiple technology and business teams to manage, analyze, and serve data that helps deliver innovative digital banking experiences for our customers.
 
 
 Key Responsibilities
 
 
 Business &amp; Data Collaboration
 
 <ul>
 <li>
 Act as a bridge between
 
 business stakeholders and data teams
 
 .
 </li>
 <li>
 Gather and document
 
 reporting and analytics requirements
 
 .
 </li>
 <li>
 Translate business questions into
 
 metrics, KPIs, and analytical insights
 
 .
 </li>
 </ul>
 
 Analytics &amp; Reporting
 
 <ul>
 <li>
 Design and develop
 
 dashboards and reports
 
 to support business decisions.
 </li>
 <li>
 Validate that analytical outputs accurately answer business needs.
 </li>
 </ul>
 
 Data Analysis
 
 <ul>
 <li>
 Analyze business data to identify patterns, trends, and opportunities.
 </li>
 <li>
 Support teams in using data to improve customer experience and operational performance.
 </li>
 </ul>
 
 Stakeholder Engagement
 
 <ul>
 <li>
 Lead analytical initiatives and influence stakeholders with data insights.
 </li>
 <li>
 Ensure effective communication between business teams and technical teams.
 </li>
 </ul>
 
 What We Are Looking For
 
 
 You must be:
 
 <ul>
 <li>
 
 Self-motivated
 
 , proactive, and results-driven
 </li>
 <li>
 A
 
 team player
 
 who enjoys collaboration and learning
 </li>
 <li>
 A
 
 problem solver
 
 who approaches challenges with analytical thinking
 </li>
 <li>
 
 Customer-oriented
 
 , committed to delivering valuable insights
 </li>
 <li>
 
 Detail-oriented
 
 , especially regarding data quality and compliance
 </li>
 <li>
 Adaptable and eager to grow in a
 
 fast-paced fintech environment
 
 </li>
 </ul>
 
 Qualifications
 
 
 Technical Skills
 
 <ul>
 <li>
 Strong knowledge of
 
 SQL
 
 </li>
 <li>
 Good understanding of
 
 data modeling concepts
 
 </li>
 <li>
 Knowledge of
 
 business intelligence tools
 
 is a plus
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong
 
 verbal and written communication skills
 
 </li>
 <li>
 Experience with
 
 requirements gathering and documentation
 
 </li>
 <li>
 Basic leadership or initiative-taking capabilities
 </li>
 </ul>
 
 Domain Knowledge
 
 <ul>
 <li>
 Knowledge of
 
 banking or financial services
 
 is a plus
 </li>
 <li>
 Experience working in
 
 regulated environments or PCI/DSS compliance
 
 is advantageous
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 
 2+ years of experience in data analysis, business analysis, or system analysis
 
 </li>
 <li>
 At least
 
 1 year of experience in fintech or regulated environments
 
 is preferred
 </li>
 </ul>
</div>

Business Data Analyst

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data Insights &amp; Automation, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Cairo, Egypt.
 
 
 
 
 
 
 
 
 We are looking for a
 
 Product Analyst
 
 to join our Analytics Products Engineering team and support the evolution of
 
 RGM &amp; Finance products
 
 within a portfolio of core AI powered solutions across the Commercial and Finance streams.
 
 
 
 
 
 RGM &amp; Finance products are AI powered decision engines that transform complex commercial and financial data into actionable insights to drive profitable growth. The Promo Advanced Analytics Tool (PAAT) enables deep post event analysis to evaluate promotional effectiveness and ROI, while within the Revenue Growth Management stream, the OBPPC product supports commercial strategy and Pricing Copilot focuses on pricing optimization, enabling more responsive, data driven decisions aligned with market dynamics.
 
 
 
 
 
 In the Finance stream, AI powered analytics transform financial, tax related and contractual data into trusted insights. This includes solutions that support corporate audits through automated validation of CDE contracts, the Tax Management Fees tool that strengthens tax governance by simplifying and digitizing general management fees processes and supporting activities collection for general management fees process, and the Finance A&amp;I Channel Profitability Ecosystem, which integrates financial internal and external data into actionable plans&mdash;enabling disciplined, scalable execution across markets.
 
 
 
 
 
 Within this context, the Product Analyst plays a critical role in turning product vision and design into execution-ready delivery &mdash; ensuring clarity, consistency, and quality across requirements, solution design, and implementation.
 
 
 
 
 
 This role sits at the heart of the product team, working closely with Product Management, Design, Data Science, and Engineering to drive high-quality, scalable, and impactful solutions.
 
 
 
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 &bull; Translate design inputs, user journeys, and business needs into clear functional specifications and structured requirements
 
 
 &bull; Support the Product Manager in shaping features, user stories, and acceptance criteria
 
 
 &bull; Ensure requirements are complete, consistent, and aligned with product objectives
 
 
 &bull; Act as the bridge between design intent and technical implementation
 
 
 &bull; Work closely with Data Science teams to define expected outputs, assumptions, and interpretation logic
 
 
 &bull; Validate analytical and AI outputs against business expectations and use cases
 
 
 &bull; Monitor product usage and operations, identifying improvement opportunities
 
 
 &bull; Shape solution designs together with the Product Manager, Architect, and engineering teams.
 
 
 &bull; Define and maintain high‑quality backlog items (Epics, Features, User Stories) and support sprint planning.
 
 
 &bull; Participate in estimation sessions and contribute to effort sizing with engineering team.
 
 
 &bull; Support validation of end-to-end scenarios and product behavior
 
 
 &bull; Identify gaps, inconsistencies, and improvement areas proactively
 
 
 &bull; Partner with engineering, data, and governance teams to align end‑to‑end product delivery.
 
 
 &bull; Maintain documentation (Wikis, flow diagrams, functional specs, Product Changelog).
 
 
 &bull; Identify improvement opportunities based on data, feedback, and performance trends.
 
 
 &bull; Support release readiness, testing validation, and operational handover.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor's degree in Information Technology, Computer Science, or related field.
 
 
 &bull; 3&ndash;5 years of experience in a Product Analyst, Business Analyst, or similar role within digital or data-driven environments
 
 
 &bull; Strong grasp of Agile / SAFe and experience working in cross-functional product teams
 
 
 &bull; Can translate designs and business needs into clear, structured, and testable product specifications
 
 
 &bull; Communicate effectively and manage stakeholders with confidence
 
 
 &bull; Confident in working closely with Product Managers, Designers, Data Scientists, and Engineers
 
 
 &bull; Think analytically, enjoy solving problems, and pay strong attention to detail
 
 
 &bull; Comfortable with ambiguity and can adapt quickly in fast-paced, AI-driven environments
 
 
 &bull; Tech-savvy, curious, and proactive in exploring new tools and approaches
 
 
 &bull; Experience in FMCG, Commercial and Finance domains
 
 
 &bull; Familiar with Python, SQL, and general data concepts
 
 
 &bull; Have exposure to Azure, Databricks, PBI, AI/ML, or data-intensive products
 
 
 &bull; Excellent problem-solving and debugging skills.
 
 
 &bull; Excellent spoken and written English
 
 
 &bull; Communication, organizational and analytical skills
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

Product Analyst - Revenue Growth Management & AI

Tabby | تابي

<div>
 
 
 Department:
 
 Collection
 
 
 
 Location:
 
 Egypt
 
 
 
 
 Description
 
 
 
 Job Summary - We are looking for a Senior Data Analyst with exceptional analytical skills and a proven ability to work with large, complex datasets. The ideal candidate is a SQL superstar who can extract, transform, and analyze data efficiently, while also building reports and dashboards that guide critical business decisions. This role is perfect for someone who thrives in fast-paced environments, loves solving problems with data, and can translate insights into actionable recommendations.
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 Data Analysis &amp; RCA
 
 : Perform deep analysis on business datasets to identify trends, patterns, and anomalies. Translate raw data into clear, actionable insights for stakeholders.
 
 </li>
 </ul>
 <ul>
 <li>
 
 SQL &amp; Data Extraction
 
 : Write highly optimized SQL queries for data extraction and manipulation. Ensure query performance is efficient even with large datasets. Act as the go-to expert in SQL best practices within the team.
 
 </li>
 </ul>
 <ul>
 <li>
 
 Reporting &amp; Visualization
 
 : Build and maintain automated dashboards and reports to track business KPIs. Use tools like Tableau, Power BI, or Looker for data visualization. Create ad-hoc reports to answer urgent business questions.
 
 </li>
 </ul>
 <ul>
 <li>
 
 Data Quality &amp; Management
 
 : Ensure accuracy, consistency, and reliability of data used for analysis. Collaborate with data engineering teams to maintain robust data pipelines. Proactively identify and resolve data quality issues.
 
 </li>
 </ul>
 <ul>
 <li>
 
 Stakeholder Communication
 
 : Present findings in a clear and concise manner to both technical and non-technical audiences. Support senior management with data-driven decision-making. Partner with business, operations, risk, finance, product teams to support problem solving and decision-making.
 
 
 
 </li>
 </ul>
 
 Skills, Knowledge &amp; Expertise
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or related discipline.
 </li>
 <li>
 Minimum 3&ndash;5 years of experience in data analytics in data analytics or business intelligence.
 </li>
 <li>
 Strong SQL skills for analysis and reporting.
 </li>
 <li>
 Hands-on experience with at least one visualization tool is a plus (Tableau, Power BI, Looker).
 </li>
 <li>
 Excellent problem-solving skills and a structured, analytical mindset.
 </li>
 <li>
 Experience in fintech, lending, collections, risk, or consumer finance is a plus.
 
 </li>
 </ul>
</div>

Senior Data Analyst

RATP Dev Mobility Cairo

<div>
 
 Job Purpose
 
 
 
 The Senior Client Data Analyst serves as the strategic bridge between Finance, Treasury, and Operations, ensuring the integrity of the revenue cycle through advanced data architecture and predictive analytics. Reporting to the Treasury Manager, this role is essential for mitigating financial risk, optimizing working capital, and driving the digital transformation of client-facing financial processes.
 
 
 
 Responsibilities/Duties
 
 
 
 
 Profil de candidat recherch&eacute; :
 
 
 
 
 Advanced Financial Analytics &amp; Risk Mitigation
 
 
 
 <ul>
 <li>
 Lead the analysis of client communications, case histories, and dispute patterns to proactively identify systemic risks and root causes of payment delays.
 </li>
 <li>
 Monitor and analyze complex aging receivables and cash-in data to ensure ledger accuracy and facilitate early detection of credit risks.
 </li>
 <li>
 Evaluate client payment behaviors and historical trends to provide actionable insights that optimize collection strategies and minimize bad debt exposure.
 </li>
 <li>
 Audit the e-invoice lifecycle including issuance, acceptance, and rejection phases to streamline the billing workflow and prevent downstream collection bottlenecks.
 
 
 </li>
 </ul>
 
 Strategic Reporting &amp; Digital Transformation
 
 
 
 <ul>
 <li>
 Architect and automate analytical dashboards (e.g., Power BI, Tableau) that provide real-time visibility into receivables and collection KPIs.
 </li>
 <li>
 Design integrated monitoring systems for back-to-back invoicing to track the full financial lifecycle from supplier cash-out to client cash-in.
 </li>
 <li>
 Engineer data-driven forecasting models that provide the Treasury department with high-precision inputs for global cash flow planning.
 </li>
 <li>
 Innovate reporting frameworks by migrating manual data sets into scalable, automated cloud-based environments to enhance organizational agility.
 
 
 </li>
 </ul>
 
 Cross-Functional Leadership &amp; Operational Excellence
 
 
 
 <ul>
 <li>
 Reconcile high-volume client data across Finance, Treasury, and Operations, spearheading process improvements where data silos or discrepancies are identified.
 </li>
 <li>
 Spearhead data-driven presentations for senior management, banking partners, and key stakeholders to support high-stakes financial negotiations and audits.
 </li>
 <li>
 Direct on-site communications and client-facing meetings by providing empirical evidence to resolve complex disputes and strengthen commercial relationships.
 </li>
 <li>
 Advise the Treasury Manager on day-to-day liquidity shifts and operational tasks, serving as a technical subject matter expert for the broader finance team.
 
 
 </li>
 </ul>
 
 Safety Responsibilities
 
 
 
 <ul>
 <li>
 Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
 </li>
 <li>
 Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
 </li>
 <li>
 Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance, Data Science, or Business Administration.
 </li>
 <li>
 Professional certification in data visualization (e.g., Microsoft Certified: Power BI Data Analyst Associate) or finance (e.g. CMA) is an advantage.
 
 
 </li>
 </ul>
 
 Knowledge
 
 
 
 <ul>
 <li>
 Advanced command of Power BI (DAX/Power Query), SQL, and ERP systems (SAP, Oracle, or Microsoft Dynamics 365), is an advantage.
 </li>
 <li>
 Deep understanding of Accounts Receivable (AR) lifecycles, GAAP/IFRS standards, and e-invoicing regulatory frameworks.
 </li>
 <li>
 Deep knowledge of data privacy laws.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years of progressive experience in financial data analysis, revenue operations, or treasury analytics.
 
 
 </li>
 </ul>
 
 Desired Behaviors &amp; Experiences
 
 
 
 <ul>
 <li>
 Proven track record of transforming "raw data" into clean, executive-ready narratives that drive decision-making.
 </li>
 <li>
 Ability to challenge the status quo and influence cross-functional stakeholders without direct authority.
 </li>
 <li>
 A forward-thinking approach to AI and Machine Learning applications in predictive financial modeling.
 </li>
 <li>
 High emotional intelligence when managing complex client disputes or high-pressure month-end closing cycles.
 </li>
 <li>
 High level of professionalism, ethical conduct, and integrity.
 </li>
 </ul>
</div>

Sr Client Data Analyst

<div>
 
 About the Role
 
 
 We are looking for a
 
 Technical Data Analyst
 
 to join our Data Management and AI team and contribute to building data-driven solutions that power our digital banking platform.
 
 
 In this role, you will work closely with engineering, analytics, and business teams to gather requirements, design data processes, and support data integration initiatives. You will play a key role in enabling accurate data analysis and reporting to support business decisions and enhance the customer banking experience.
 
 
 This is an excellent opportunity for a
 
 junior data professional
 
 looking to grow within a fast-paced fintech environment.
 
 
 Team Overview
 
 
 The
 
 Data Management and AI team
 
 works across the full technology stack within QNBeyond Plus, enabling advanced analytics, data management, and AI-driven capabilities.
 
 
 Our team collaborates with multiple technology and product teams to manage, analyze, and serve data that drives innovative digital banking experiences for our customers.
 
 
 Key Responsibilities
 
 
 Data Analysis &amp; Collaboration
 
 <ul>
 <li>
 Act as a bridge between
 
 technical teams and data stakeholders
 
 .
 </li>
 <li>
 Gather and document
 
 reporting and data requirements
 
 .
 </li>
 <li>
 Collaborate with engineering and analytics teams to support data initiatives.
 </li>
 </ul>
 
 Data Engineering Support
 
 <ul>
 <li>
 Translate integration requirements into
 
 procedures, scripts, and technical documentation
 
 .
 </li>
 <li>
 Assist in designing
 
 data ingestion pipelines
 
 .
 </li>
 </ul>
 
 Data Quality &amp; Verification
 
 <ul>
 <li>
 Design and support
 
 data validation and verification procedures
 
 .
 </li>
 <li>
 Ensure data accuracy, integrity, and reliability across systems.
 </li>
 </ul>
 
 Project Delivery
 
 <ul>
 <li>
 Support data initiatives and drive assigned tasks to completion.
 </li>
 <li>
 Contribute to Agile processes and cross-team collaboration.
 </li>
 </ul>
 
 What We Are Looking For
 
 
 You must be:
 
 <ul>
 <li>
 
 Self-motivated
 
 , driven to take initiative and achieve results
 </li>
 <li>
 A
 
 team player
 
 , eager to collaborate and learn
 </li>
 <li>
 A
 
 problem solver
 
 , focused on identifying solutions
 </li>
 <li>
 
 Customer-oriented
 
 , committed to delivering high-quality results
 </li>
 <li>
 
 Detail-oriented
 
 , especially regarding security and compliance
 </li>
 <li>
 Adaptable to a
 
 growing fintech environment
 
 </li>
 </ul>
 
 Qualifications
 
 
 Technical Skills
 
 <ul>
 <li>
 Strong knowledge of
 
 SQL
 
 </li>
 <li>
 Understanding of
 
 data modeling concepts
 
 </li>
 <li>
 Knowledge of
 
 programming or scripting tools
 
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong
 
 verbal and written communication skills
 
 </li>
 <li>
 Experience with
 
 requirements gathering and documentation
 
 </li>
 </ul>
 
 Domain Knowledge
 
 <ul>
 <li>
 Understanding of
 
 banking or financial services
 
 is a plus
 </li>
 <li>
 Experience in
 
 regulated environments or PCI/DSS compliance
 
 is advantageous
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 
 2+ years of experience in software engineering, data analysis, or system analysis
 
 </li>
 <li>
 At least
 
 1 year of experience in fintech or regulated environments
 
 is preferred
 </li>
 </ul>
 
 
</div>

Data Analyst

Alignerr

<div>
 
 Security Operations Analyst (AI Training)
 
 
 
 
 About The Role
 
 
 
 We're partnering with leading AI research labs to build the next generation of security-aware AI systems. As a Security Operations Analyst, your hands-on SOC experience will directly shape how AI understands, reasons through, and responds to real-world cyber threats.
 
 
 This is a unique opportunity to apply your threat detection and incident response expertise beyond the SOC &mdash; and leave a lasting mark on how AI handles security at scale.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Analyze realistic SOC scenarios &mdash; alerts, incidents, and investigations &mdash; and document how you reason through them
 </li>
 <li>
 Classify severity levels, identify root causes, and recommend appropriate response actions
 </li>
 <li>
 Review and evaluate AI-generated detection logic and investigation workflows for accuracy and realism
 </li>
 <li>
 Validate AI outputs to ensure they reflect how experienced analysts actually think and operate
 </li>
 <li>
 Provide structured, expert feedback that directly improves AI behavior in security contexts
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 2+ years of experience in SOC, incident response, or security operations
 </li>
 <li>
 Hands-on familiarity with SIEM platforms, alert triage, and investigation workflows
 </li>
 <li>
 Strong ability to distinguish true threats from background noise and false positives
 </li>
 <li>
 Clear written communication skills &mdash; you can explain your reasoning, not just your conclusions
 </li>
 <li>
 Self-motivated and comfortable working independently on task-based assignments
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with threat intelligence, detection engineering, or purple team exercises
 </li>
 <li>
 Familiarity with AI systems or previous AI evaluation work
 </li>
 <li>
 Background in writing detection rules, runbooks, or incident documentation
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on frontier AI projects alongside world-class research teams
 </li>
 <li>
 Fully remote and flexible &mdash; work on your own schedule
 </li>
 <li>
 Freelance perks: autonomy, variety, and global collaboration
 </li>
 <li>
 Make a real impact on how AI understands cybersecurity at a foundational level
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

Security Operations Analyst

Xenon Seven

<div>
 
 Location:
 
 Cairo, Egypt (100% On-Premise)
 
 
 
 Contract Duration:
 
 6 Months (Extendable)
 
 
 
 Employment Type:
 
 Contract
 
 
 
 About us:
 
 
 
 Where elite tech talent meets world-class opportunities!
 
 
 At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges.
 
 
 
 About the Client:
 
 
 
 Join one of Egypt's premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.
 
 
 
 Job Summary:
 
 
 
 This role covers highly technical disciplines within InfoSec: security architecture, engineering review, and the maturation of vulnerability and patch management systems. The specialist works closely with internal Security Architecture managers and the Security Operations Center (SOC) team to strengthen the bank's detection and defensive posture, ensure new infrastructure designs are secure by design, and fully operationalize the vulnerability management lifecycle.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Security Architecture &amp; Engineering Assessment
 </li>
 <li>
 Review new and changed system designs, network architectures, and digital platform builds from an
 
 
 </li>
 </ul>
 information security perspective, prior to build or procurement approval.
 
 
 <ul>
 <li>
 Produce Security Architecture Review Reports with risk-rated findings, threat model summaries, and
 
 
 </li>
 </ul>
 design recommendations aligned to security standards and CBE requirements.
 
 
 <ul>
 <li>
 Assess security of APIs, cloud components, integration layers, and digital banking platforms (mobile,
 
 
 </li>
 </ul>
 internet banking, payment processing) against OWASP, NIST, and CBE guidelines.
 
 
 <ul>
 <li>
 Maintain an architecture review register tracking all submitted designs, decisions, and open risk items
 </li>
 <li>
 Contribute to the InfoSec reference architecture and security design patterns library
 </li>
 <li>
 Tenable SC &mdash; Vulnerability &amp; Patch Management
 </li>
 <li>
 Take ownership of Tenable Security Center (SC) and other vulnerability solutions configuration, scan
 
 
 </li>
 </ul>
 policy design, and coverage assurance across full asset inventory.
 
 
 <ul>
 <li>
 Design and implement a structured vulnerability management workflow &mdash; scan, triage, risk-rate, assign,
 
 
 </li>
 </ul>
 track, and verify remediation &mdash; integrated with IT's patch management process.
 
 
 <ul>
 <li>
 Produce weekly and monthly vulnerability dashboards for IT and InfoSec leadership showing patch SLA
 
 
 </li>
 </ul>
 compliance, critical exposure trends, and remediation velocity.
 
 
 <ul>
 <li>
 Define and enforce scan coverage SLAs: all in-scope assets scanned at appropriate frequency per asset
 
 
 </li>
 </ul>
 criticality tier.
 
 
 <ul>
 <li>
 Identify and escalate monitoring blind spots &mdash; unscanned, uncredentialed, or unreachable assets &mdash; and
 
 
 </li>
 </ul>
 drive resolution with IT.
 
 
 <ul>
 <li>
 Enable Tenable SC reporting to feed directly into KRI metrics for board-level visibility on patch SLA
 
 
 </li>
 </ul>
 breach rate and vulnerability exposure.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 8 years in information security with strong hands-on technical depth across at least two of the
 
 
 </li>
 </ul>
 three disciplines in this role.
 
 
 <ul>
 <li>
 Proven Tenable SC (or Tenable.io) administration and workflow design experience &mdash; must be able to
 
 
 </li>
 </ul>
 demonstrate scan configuration, policy tuning, and dashboard creation.
 
 
 <ul>
 <li>
 Experience conducting security architecture reviews for banking or financial sector projects
 </li>
 <li>
 Practical threat hunting experience using SIEM and EDR platforms with documented hunt outputs
 </li>
 <li>
 Familiarity with MITRE ATT&amp;CK framework and its application to threat hunting and detection
 
 
 </li>
 </ul>
 engineering.
 
 
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 Tenable Certified Security Engineer (TCSE) or Tenable.sc Specialist
 </li>
 <li>
 GIAC Certified Enterprise Defender (GCED) or GIAC Certified Threat Intelligence Analyst (GCTI)
 </li>
 <li>
 CISSP &mdash; Certified Information Systems Security Professional
 </li>
 <li>
 SABSA Chartered Security Architect (SCF or SCP)
 
 
 </li>
 </ul>
 
 Preferred Experience
 
 
 
 <ul>
 <li>
 Experience in Egyptian banking or financial institution regulated by CBE
 </li>
 <li>
 Hands-on with F5 AWAF, Palo Alto, or equivalent network/application security controls from an
 
 
 </li>
 </ul>
 assessment perspective.
 
 
 <ul>
 <li>
 Familiarity with NIST CSF 2.0 and CBE Cybersecurity Framework control domains
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Attractive, market-leading salary package
 </li>
 <li>
 Clear career advancement path with professional development opportunities
 </li>
 </ul>
</div>

Security Architecture, Engineering & Threat Operations Lead - Banking

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