qa/qc engineer

estimation engineer

data analyst

data scientist ii - analysis, qc Jobs in Dubai

data scientist ii - analysis, qc

estimator / quantity surveyor Jobs in Dubai

estimator / quantity surveyor

quantitative analyst

Bitqcode Quantitative Capital

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are seeking a highly driven and analytical Quantitative Researcher with a strong foundation in mathematics, statistics, and market microstructure to join our systematic trading team. This role is ideal for candidates passionate about high-frequency trading (HFT), statistical arbitrage, and innovative alpha discovery across global financial markets &mdash; equities, futures, options, FX, and commodities.
 <br/>
 <br/>
 The ideal candidate should have hands-on experience in developing and testing trading strategies, coupled with a deep understanding of order book dynamics, risk modeling, and ML techniques grounded in sound statistical reasoning, not just generic algorithmic applications.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Research, design, and implement quantitative trading strategies across global markets using statistical and machine learning models.
  </li>
  <li>
   Conduct alpha research, signal generation, and strategy backtesting using large-scale historical tick/order book data.
  </li>
  <li>
   Develop and apply statistical arbitrage techniques across multiple asset classes, instruments, and exchanges.
  </li>
  <li>
   Model market microstructure phenomena such as latency arbitrage, limit order book dynamics, and short-term price impact.
  </li>
  <li>
   Perform rigorous data analysis and hypothesis testing to validate trading ideas and monitor live strategies.
  </li>
  <li>
   Collaborate with engineering teams to deploy strategies in production environments with low-latency constraints.
  </li>
  <li>
   Continuously monitor and improve model performance using real-time and historical data.
  </li>
  <li>
   Stay abreast of latest developments in trading infrastructure, execution technology, and quantitative finance research.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's, Master's, or PhD in Statistics, Mathematics, Physics, Computer Science, or a related quantitative field.
  </li>
  <li>
   Solid knowledge of probability theory, stochastic processes, time series analysis, and optimization.
  </li>
  <li>
   Proven experience with global financial markets, including knowledge of exchange mechanics, liquidity provision, and volatility regimes.
  </li>
  <li>
   Strong coding skills in Python, C++, or Rust, with experience in numerical computing, data wrangling, and API interaction.
  </li>
  <li>
   Familiarity with machine learning techniques rooted in statistical principles (Bayesian methods, Gaussian Processes, feature selection, model validation).
  </li>
  <li>
   Experience in handling high-frequency data, order book reconstruction, and building execution algorithms.
  </li>
  <li>
   Ability to design robust backtesting frameworks and simulate strategy performance under varying market conditions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prior experience in a quant fund, HFT firm, or systematic trading desk.
  </li>
  <li>
   Familiarity with cloud computing, GPU acceleration, or high-performance computing techniques.
  </li>
  <li>
   Exposure to alternative data, non-traditional datasets, and novel signal sources.
  </li>
  <li>
   Strong understanding of execution cost modeling, slippage, and latency optimization.
  </li>
 </ul>
</div>


Quantitative Researcher

Millennium

<div>
 <em>
  Please submit resumes to QuantTalentEUR@mlp.com and reference REQ-30088.
  <br/>
  <br/>
 </em>
 <strong>
  Preferred Candidate Profile
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Top-tier academic background from a globally top-20 university (e.g., MIT, Harvard, Princeton,
   <br/>
   <br/>
  </li>
 </ul>
 Stanford, Caltech)
 <br/>
 <br/>
 <ul>
  <li>
   PhD-level training in Computer Science, Engineering, Physics, Mathematics, or Statistics
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Gold medal in a national or international olympiad (IMO, CMO, IOI, NOI, IPhO, CPhO)
   <br/>
   <br/>
  </li>
 </ul>
 strongly preferred
 <br/>
 <br/>
 <ul>
  <li>
   Practical, hands-on experience with large-scale, end-to-end deep learning at a top-tier quantitative
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Trading Firm Or a Leading AI/technology Company Preferred
  <br/>
  <br/>
 </strong>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Design and build the firm&rsquo;s core deep learning pipelines for applied quantitative alpha research&mdash;
   <br/>
   <br/>
  </li>
 </ul>
 from data preparation and distributed training through evaluation and production deployment.
 <br/>
 <br/>
 <ul>
  <li>
   Drive a significant part of the research agenda using applied deep learning techniques, owning the
   <br/>
   <br/>
  </li>
 </ul>
 full empirical loop: problem formulation, model design, training, validation, and performance
 <br/>
 <br/>
 attribution.
 <br/>
 <br/>
 <ul>
  <li>
   Uphold rigorous research discipline in a low signal-to-noise domain &mdash; strict out-of-sample
   <br/>
   <br/>
  </li>
 </ul>
 hygiene, leakage prevention, and honest benchmarking against simpler baselines.
 <br/>
 <br/>
 <ul>
  <li>
   Act as the firm&rsquo;s central point of deep learning expertise: advise on architecture selection and
   <br/>
   <br/>
  </li>
 </ul>
 training diagnostics, review model designs, and set standards for how models are evaluated
 <br/>
 <br/>
 and promoted.
 <br/>
 <br/>
 <ul>
  <li>
   Facilitate the seamless flow of model fitting and model computation across teams and systems
   <br/>
   <br/>
  </li>
 </ul>
 through standardized training and inference interfaces and reusable components.
 <br/>
 <br/>
 <strong>
  Qualifications &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of professional experience applying deep learning to large-scale problems, ideally in
   <br/>
   <br/>
  </li>
 </ul>
 quantitative finance. A strong PhD research record plus hands-on experience training large
 <br/>
 <br/>
 models at a leading AI/technology company will be considered in lieu of direct quant experience.
 <br/>
 <br/>
 <ul>
  <li>
   Proven end-to-end ownership of the deep learning model lifecycle on at least one significant
   <br/>
   <br/>
  </li>
 </ul>
 production system or published research line.
 <br/>
 <br/>
 <ul>
  <li>
   Deep expertise in Python and a modern DL framework.
  </li>
  <li>
   Hands-on experience with large-scale model training: distributed/multi-GPU training,
   <br/>
   <br/>
  </li>
 </ul>
 mixed precision, and throughput profiling and optimization.
 <br/>
 <br/>
 <ul>
  <li>
   Strong foundations in statistics, optimization, and machine learning theory.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Hard Skills &amp; Technical Knowledge
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Command of modern deep learning architectures, and the judgment to know when a simpler
   <br/>
   <br/>
  </li>
 </ul>
 model should win.
 <br/>
 <br/>
 <ul>
  <li>
   Practical technique for low signal-to-noise learning: regularization, ensembling, and validation
   <br/>
   <br/>
  </li>
 </ul>
 protocols that survive out-of-sample.
 <br/>
 <br/>
 <ul>
  <li>
   Experience with large-scale datasets &mdash; efficient columnar formats, streaming data loaders,
   <br/>
   <br/>
  </li>
 </ul>
 and point-in-time-correct dataset construction.
 <br/>
 <br/>
 <ul>
  <li>
   Fluency with experiment-management tooling: experiment tracking, hyperparameter optimization,
   <br/>
   <br/>
  </li>
 </ul>
 and reproducible research environments.
 <br/>
 <br/>
 <ul>
  <li>
   Working knowledge of C++ or CUDA-level optimization a plus; familiarity with LLM tooling
   <br/>
   <br/>
  </li>
 </ul>
 as a research accelerant a plus.
 <br/>
 <br/>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Research Taste &amp; Rigor: Designs clean experiments and kills ideas quickly when the
   <br/>
   <br/>
  </li>
 </ul>
 evidence says so.
 <br/>
 <br/>
 <ul>
  <li>
   Proactive Collaboration: Builds strong partnerships across research and engineering.
  </li>
  <li>
   High Integrity: Upholds rigorous ethical standards in handling sensitive data and models.
  </li>
  <li>
   Growth Mindset: Stays current with a fast-moving field and adopts what works.
  </li>
  <li>
   Superb Communication: Explains model behavior and uncertainty to technical and nontechnical
   <br/>
   <br/>
  </li>
 </ul>
 audiences.
</div>


Deep Learning Quantitative Researcher

Richemont

<p></p><div><p>Richemont, one of the world leaders in the luxury sector, has various Houses specializing in jewelry, watches and high-end accessories. Each Maison proudly embodies a tradition of style, quality and craftsmanship and Richemont strives to preserve the heritage and identity specific to each of them. At the same time, we are committed to innovating and designing new products in line with the values of our Houses, through a process of permanent creativity.
</p><p></p><p>Richemont is seeking a highly analytical and experienced Senior Compensation Analyst on a <b>FIXED TERM CONTRACT </b>to act as a Project Lead within our dynamic MEIAT region. Reporting to the Regional Compensation Director, you will play a pivotal role in driving the strategic evolution and optimization of our Compensation Schemes across diverse markets, including the UAE, KSA, India, Turkiye, and South Africa.
</p><p></p><p>This is a unique opportunity to lead the end-to-end development of a comprehensive, Excel-based simulation module, enabling detailed individual-level analysis of current and proposed compensation models. You will be instrumental in driving data-backed recommendations directly to our Executive Committee (ExCo) and ensuring optimal strategic alignment across the region.
</p><p></p><p><b>Key Responsibilities
</b></p><ul><li>Simulation Module Development: Design, build, and deploy a robust, advanced Excel-based simulation module in close collaboration with the Commercial &amp; Data Analytics teams.
</li><li>Project Management &amp; Coordination: Act as the dedicated Project Manager for all simulation activities, overseeing planning, execution, and cross-functional liaison with HR, Finance, and Commercial teams.
</li><li>Market Alignment &amp; Integration: Collaborate directly with local MEIAT market teams to capture operational nuances, gather and validate data, and integrate the tool into regional processes.
</li><li>Comparative Analysis &amp; Reporting: Generate concise, actionable reports and compelling presentations detailing the impacts of proposed structures to support the Executive Committee's (ExCo) decision-making.
</li><li>Data Integrity: Strictly uphold the highest standards of data security, confidentiality, and accuracy throughout the project lifecycle.
</li></ul><p></p><p><b>Experience
</b></p><ul><li>Proven experience in financial modeling, data analytics, or commercial project management, preferably within multinational or luxury retail environments.
</li><li>Expert-level mastery of Microsoft Excel (complex formulas, VBA, pivot tables, and financial simulation design).
</li><li>Solid understanding of compensation analysis, sales incentives, or commission schemes.
</li><li>Exceptional analytical, problem-solving, and presentation skills, with the ability to translate complex data into clear, executive-ready insights.
</li><li>Highly collaborative, proactive, and resilient, with a strong sense of ownership and a high level of discretion in handling confidential information.
</li><li>Bachelor's degree in Finance, Business Administration, Data Analytics, or a related quantitative field.
</li></ul><p></p><p>Why Richemont?
</p><p></p><p>Join a global leader in luxury, where your analytical expertise will directly impact our strategic commercial frameworks across a vital and diverse region. This role offers significant project ownership, executive-level exposure, and the opportunity to work alongside iconic Maisons in a highly collaborative environment.
</p><p></p><p>#Richemont #WeCraftTheFuture</p></div><p></p>

Senior Compensation Analyst

<div>
 <em>
  Please direct all resume submissions to
 </em>
 <em>
  QuantTalentASIA@mlp.com
 </em>
 <em>
  and reference REQ-30162 as the subject.
  <br/>
  <br/>
 </em>
 Job Specification: Quant Research Engineer
 <br/>
 <br/>
 <strong>
  Preferred Candidate Profile
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Top-tier academic background from a globally top-20 university (e.g., MIT, Harvard, Princeton, Stanford, Caltech)
  </li>
  <li>
   PhD-level training in Computer Science, Engineering, Physics, Mathematics, or Statistics preferred
  </li>
  <li>
   Gold medal in a national or international olympiad (IMO, CMO, IOI, NOI, IPhO, CPhO) strongly preferred
  </li>
  <li>
   Prior experience at a top-tier quantitative trading firm or a leading AI/technology company preferred
  </li>
  <li>
   Demonstrated passion for applying AI &mdash; candidates who have built LLM-powered tools into their own research or engineering workflow stand out
   <br/>
   <br/>
  </li>
 </ul>
 Key Responsibilities
 <br/>
 <br/>
 <strong>
  Core Infrastructure Ownership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain the firm&rsquo;s core quant pipelines, data infrastructure, and research and production compute environments.
  </li>
  <li>
   Ensure the reliability, scalability, and performance of critical systems central to our research and trading activities.
  </li>
  <li>
   Drive the architectural vision for our next-generation data and compute platform &mdash; including how AI-native capabilities (LLM services, agentic workflows, retrieval infrastructure) are embedded into the research stack.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Integration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner directly with Quantitative Researchers and other development teams to understand their requirements and integrate new components into the core infrastructure.
  </li>
  <li>
   Act as a central point of expertise, facilitating the seamless flow of data and computation across teams and systems.
  </li>
  <li>
   Identify where AI can accelerate the research process &mdash; from literature ingestion and data exploration to signal prototyping &mdash; and build the tooling that makes it routine.
  </li>
  <li>
   Establish and enforce rigorous standards for system design, code quality, testing, and deployment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  DevOps &amp; AI-Augmented Operations
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own the deployment, monitoring, and operational health of production and research systems.
  </li>
  <li>
   Implement robust observability, logging, and alerting frameworks; apply AI-assisted techniques (automated log analysis, anomaly detection, intelligent incident triage) to raise the bar on reliability.
  </li>
  <li>
   Drive infrastructure-as-code practices and automate operational workflows, leveraging AI coding agents and LLM tooling where they demonstrably improve velocity and quality.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of professional experience in a quantitative development role, focused on building and maintaining quantitative research and production pipelines. Alternatively, significant engineering experience in a fast-paced startup &mdash; or strong hands-on AI/LLM engineering experience (building production LLM applications, agentic systems, or AI-powered developer
   <br/>
   <br/>
  </li>
 </ul>
 tooling) &mdash; with demonstrated ownership of complex infrastructure will be considered in lieu of direct quant experience.
 <br/>
 <br/>
 <ul>
  <li>
   Proven, end-to-end ownership of a significant piece of trading, research, high-performance, or AI infrastructure.
  </li>
  <li>
   Deep expertise in modern C++ and Python in a high-performance computing context.
  </li>
  <li>
   Demonstrable experience with large-scale data infrastructure (e.g., real-time/streaming and historical tick data).
  </li>
  <li>
   Strong background in cloud computing (AWS, GCP, or Azure) and parallel computing paradigms.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Hard Skills &amp; Technical Knowledge
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Broad knowledge of the technology landscape and the judgment to select the right tool for the problem (e.g., KDB+, Apache Spark, Dask, Redis).
  </li>
  <li>
   Practical experience applying LLMs and agentic workflows to real engineering or research problems &mdash; LLM APIs, agent frameworks, retrieval-augmented generation, and structured output pipelines &mdash; with sound judgment about where AI adds value and where determinism must be preserved.
  </li>
  <li>
   Proficiency with different database designs &mdash; SQL, NoSQL, and distributed file systems.
  </li>
  <li>
   Experience with containerization and orchestration technologies (Docker, Kubernetes).
  </li>
  <li>
   Strong experience with DevOps practices: infrastructure-as-code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, GitLab CI), and system observability &mdash; including familiarity with AI-assisted operations tooling.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exceptional Logical &amp; Reflective Thinking: Ability to deconstruct complex problems and design elegant, effective solutions.
  </li>
  <li>
   Proactive Collaboration: A team player who thrives in a collaborative environment and builds strong partnerships.
  </li>
  <li>
   High Integrity: Takes initiative and ownership of projects, upholding rigorous ethical standards in handling sensitive data and models.
  </li>
  <li>
   Growth Mindset: Innate curiosity and commitment to continuous improvement &mdash; including genuine enthusiasm for the rapidly evolving AI landscape and a track record of adopting new tools ahead of the curve.
  </li>
  <li>
   Superb Communication: Can articulate complex technical concepts to both technical and non-technical stakeholders.
  </li>
 </ul>
</div>


Quant Research Engineer

Cedar Management Consulting

<div><div><p><b>ABOUT CEDAR<br>
</b><br>
</p><p>Cedar is a global strategy consulting, research and analytics firm with a 40-year track record and clients across multiple industry sectors. Since 1985, our teams have assisted clients in strategy, process innovation, strategic human capital and business technology, among others, with a strong focus on the Financial Services sector. As a full-suite management consulting firm, Cedar assists clients across these areas in an integrated fashion &mdash; from strategy formulation to execution and implementation.<br>
<br>
</p><p>The firm's heritage includes being part of the former US$1 billion Renaissance Worldwide, whose leadership included the creators of the Balanced Scorecard &mdash; the world's leading strategy-deployment and performance-management tool, used by organizations globally. Cedar's specialist Financial Services practice serves as the firm's center of excellence, offering innovative advisory, research and accelerator capabilities to players across the global Financial Services ecosystem.<br>
<br>
</p><p>Cedar's group unit, UK-headquartered IBS Intelligence (IBSi), is a leading global pure-play FinTech research, news-analysis and advisory firm; for over 30 years it has been the definitive source of independent, in-depth analysis of global financial-technology markets, and its annual Sales League Table is considered the global industry barometer of banking-technology suppliers. The Cedar-IBSi platform also runs Cedar-IBSi FinTech Labs, a BankTech / B2B FinTech accelerator home to 70+ FinTechs since 2017; and Cedar's independent venture capital fund, announced in 2023, backs founders building AI-first enterprise technology for the Financial Services industry<br>
<br>
</p><p>use this for now add vo document me<br>
<br>
</p><p></p><br>
<div><b>ROLE PURPOSE<br>
</b><br>
</div></div><p>The <b>Associate Consultant </b><b>(Arabic Speaker) </b>supports consulting engagements through research, data analysis, and deliverable preparation, working under the guidance of senior colleagues. The role exists to provide accurate, timely analytical support that feeds engagement recommendations, while building the foundational skills, methodologies, and sector knowledge required for a consulting career. It emphasizes execution, accuracy, and rapid learning within Cedar&rsquo;s delivery environment.<br>
<br>
</p><p></p><div><br>
<div><b>ROLE OVERVIEW<br>
</b><br>
</div></div><p>The <b>Associate Consultant (Arabic Speaker) </b>is an entry-level consulting role focused on execution and support across engagements. Responsibilities include primary and secondary research, data collection and analysis, financial and quantitative support, and the preparation of charts, models, and slides for review. The role works within defined tasks under supervision, coordinates with the engagement team, and is expected to deliver accurate, well-organised work to deadline. It offers exposure to live client engagements and to Cedar&rsquo;s strategy and Financial Services expertise, providing a strong foundation for progression within the consulting track.<br>
<br>
</p><p></p><div><br>
<div><b>KEY RESPONSIBILITIES<br>
</b><br>
</div></div><p>&ndash; Conduct primary and secondary research to support engagement analysis.<br>
<br>
</p><p>&ndash; Collect, structure, and analyze data and support financial and quantitative work.<br>
<br>
</p><p>&ndash; Prepare charts, models, and slides for review by senior colleagues.<br>
<br>
</p><p>&ndash; Support the preparation of client-ready deliverables and materials.<br>
<br>
</p><p>&ndash; Coordinate with the engagement team and manage assigned tasks to deadline.<br>
<br>
</p><p>&ndash; Apply Cedar&rsquo;s methodologies and build foundational sector knowledge.<br>
<br>
</p><p></p><div><br>
<div><b>QUALIFICATIONS &amp; EXPERIENCE<br>
</b><br>
</div></div><p><b>Education: </b>Bachelor&rsquo;s degree in Business, Economics, Engineering, Finance, or a related discipline. Strong academic record; postgraduate qualification advantageous. Relevant disciplines: Business administration, economics, finance, engineering, or data.<br>
<br>
</p><p><b>Experience: </b>Around 0 to 2 years of experience. Internships, projects , or early experience demonstrating research and analytical ability are advantageous. A genuine interest in strategy consulting and Financial Services is valued. Fluency in Arabic and English is mandatory.<br>
<br>
</p><p></p><div><br>
<div><b>SKILLS, DOMAIN &amp; COMPETENCIES<br>
</b><br>
</div></div><p><b>Functional &amp; technical skills: </b>Research and information gathering; Data collection and analysis; Quantitative analysis support; Microsoft Excel and PowerPoint; Clear written communication; Attention to detail; Time management.<br>
<br>
</p><p><b>Industry &amp; domain knowledge: </b>Foundational awareness of Financial Services and strategy consulting; Basic operating-model and process concepts.<br>
<br>
</p><p><b>Behavioral competencies: </b>Analytical thinking, Accuracy, Ownership, Collaboration, Learning agility, Intellectual curiosity, Reliability.<br>
<br>
</p><p></p><div><br>
<div><b>KEY STAKEHOLDERS<br>
</b><br>
</div></div><p><b>Internal: </b>Consultant, Senior Consultant, Engagement Manager, and the engagement team.<br>
<br>
</p><p><b>External: </b>Limited; supervised contact with client teams and information sources.<br>
<br>
</p><p></p><div><br>
<div><b>CAREER PROGRESSION &amp; SUCCESS<br>
</b><br>
</div></div><p><b>Progression: </b>Subject to sustained performance, demonstrated capability, business requirements, and the availability of suitable opportunities, the role may progress towards a Consultant position.<br>
<br>
</p><p><b>Success (first 12&ndash;18 months): </b>Research and analysis are accurate and timely; Supporting materials are well-organised and reliable; Methodologies and standards are followed; Foundational consulting and sector knowledge develops; The engagement team is effectively supported.</p></div><div></div>

Associate Consultant - (Arabic Speaker)

Keolis

<div><div>The Performance Analyst supports the delivery of accurate, consistent, and actionable performance data and analysis across all departments of Keolis-MHI. Reporting to the Performance Manager within the Business Strategy &amp; Performance Department, this role plays a key part in tracking, validating, and interpreting operational, engineering, QHSE, and support function KPIs. The Performance Analyst ensures that performance data is timely, credible, and aligned with internal and external requirements, including client reporting, Keolis Group reporting and contractual obligations.</div><br>
<p></p>
<p><b>
KEY RESPONSIBILITIES</b></p><br>
<p></p>
<div><b>
Strategic</b></div>
<div>
<ul><li>Contribute to the implementation of company-wide performance frameworks and KPI methodologies.</li></ul>
<ul><li>Support performance insight reporting to inform continuous improvement and strategic decision-making.</li></ul>
<ul><li>Monitor key performance trends and emerging data risks to support strategic and effective decision-making.</li></ul>
<ul><li>Support the Business Intelligence team in deploying the Business Intelligence roadmap and strategy.</li></ul></div><br>
<p></p>
<div><b>
Financial</b></div>
<div>
<ul><li>Support the performance monitoring against KPIs tied to contractual penalties and incentives under the O&amp;M Agreement.</li></ul>
<ul><li>Ensure accuracy, transparency, and defensibility of all performance data submitted for attribution processes.</li></ul></div><br>
<div></div>
<div><b>
Stakeholder / Customer</b></div>
<div>
<ul><li>Coordinate closely with department heads and data owners to ensure the accuracy of reported metrics.</li></ul>
<ul><li>Respond to internal and client performance queries in coordination with the Performance Manager.</li></ul>
<ul><li>Ensure timely preparation, validation, and submission of monthly performance reports in compliance with client and contractual expectations.</li></ul></div><br>
<p></p>
<div><b>
Operational</b></div>
<div>
<ul><li>Support operational performance reporting, including punctuality, availability, service delivery, and operational compliance KPIs.</li></ul>
<ul><li>Support the management of asset performance metrics in collaboration with Engineering &amp; Maintenance, including asset availability, reliability, maintenance backlog, and system failures.</li></ul>
<ul><li>Support the management of performance data for Support Functions.</li></ul>
<ul><li>Collaborate with the BI Analyst to ensure accurate mapping of KPIs into Power BI dashboards.</li></ul>
<ul><li>Contribute to the continuous enhancement of digital reporting tools.</li></ul></div><br>
<div></div>
<div><b>
Capability / People</b></div>
<div>
<ul><li>Promote performance culture and awareness across functions.</li></ul>
<ul><li>Support knowledge-sharing within the Performance team.</li></ul></div><br>
<p></p>
<div><b>
 Dimensions</b></div>
<div>
<ul><li>Provides data and analysis contributing to over 50 contractual KPIs across multiple departments.</li></ul>
<ul><li>Interfaces with up to 10 departments monthly for data consolidation and validation.</li></ul>
<ul><li>Supports monthly attribution processes with the RTA.</li></ul></div><br>
<p></p>
<p><b>
EDUCATIONAL QUALIFCATIONS</b></p>
<div>
<div><div><div><div><b>Min.</b></div></div><div><br>
<div><b>
Required</b></div></div><div><br>
<div><b>
Desirable</b></div></div></div><div><br>
<div>
<div><b>Education</b></div></div><br>
<div>
<div><ul><li>Bachelor&rsquo;s degree in Engineering, Data Analytics, or related field</li></ul>
</div>
</div><div><div><ul><li>Bachelor&rsquo;s degree or formal training in performance management, data analytics, or transportation management.</li></ul></div></div><br>
</div><br>
<div><div><div><b>Experience</b></div></div><br>
<div>
<div><ul><li>Minimum 1&ndash;2 years of experience in performance reporting, business analysis, or operational reporting.</li></ul>
<ul><li>Performance Management and Analysis:
<ul><li>Proven experience delivering high-quality performance reports and coordinating KPI submissions.</li>
<li>Experience working with KPIs and performance metrics.</li>
<li>Familiarity with reporting platforms (Excel, PowerPoint, Power BI).</li>
</ul></li></ul><ul><li>Cross-Functional Coordination:
<ul><li>Demonstrated ability to work across departments to align reporting processes and methodologies.</li>
</ul></li></ul><ul><li>Working collaboratively and cross-functionally with various business units:
<ul><li>Strong ability to work collaboratively with Operations, Engineering, HR, Finance, and QHSE teams to align performance with corporate strategy.</li>
</ul></li></ul><ul><li>International experience</li></ul>
</div>
</div><div><div><ul><li>Public transportation sector experience preferred.</li></ul></div><div><br>
</div></div></div><br>
<div><div><div><b>Skills / Training</b></div></div><br>
<div>
<div><ul><li>Fluent in English.</li></ul>
<ul><li>Proficient in Microsoft Office Suite.</li></ul>
<ul><li>Familiarity with Power BI and/or data reporting systems is preferred.</li></ul></div></div></div></div></div></div><p></p>

Performance Analyst

Scope Investment

<h2><strong>Introduction</strong></h2><p> </p><p>Al Boom Marine has been operating in the GCC for over 35 years and is now one of the longest standing retail businesses in the MENA region. Throughout its history, ABM has demonstrated an impressive ability to keep up with ever-changing market developments, which has led to the company diversifying its operations across retail, wholesale, and successful e-commerce ventures throughout the MENA region.</p><p> </p><p>ABM’s diverse portfolio includes a wide range of brands across six main divisions: Apparel, Footwear &amp; Accessories (AFA), Cycling, Consumer Electronics, Optical, and Sports. Thanks to its market expertise and successful business endeavours, ABM has earned a reputation as a strong market leader across the MENA region.</p><p> </p><h2><strong>Purpose</strong></h2><p> </p><p>ABM is seeking an experienced and commercially driven Senior Finance Analyst to join our Finance team. The Senior Finance Analyst will play a key role in financial planning, budgeting, forecasting, management reporting, and performance analysis across Retail, Wholesale, and E-commerce channels.</p><p> </p><p>The role will work closely with cross-functional teams to provide actionable financial insights, identify business risks and opportunities, support strategic decision-making, and contribute to sustainable business growth and improved financial performance.</p><p> </p><p>This is a great opportunity for a commercially focused finance professional to join our dynamic and growing team.</p><p> </p><p><strong>Title:</strong> Senior Finance Analyst<br /><strong>Reporting Manager:</strong> Senior Finance Manager<br /><strong>Location:</strong> Dubai, UAE</p><p> </p><h2><strong>Responsibilities</strong></h2><p> </p><h3><strong>Financial Planning &amp; Analysis (FP&amp;A)</strong></h3><p> </p><ul><li>Build and maintain annual budgets, monthly budgets, and rolling forecasts across channels, brands, and stores.</li><li>Track business performance against budget, forecast, and prior year, identifying key risks and opportunities.</li><li>Prepare monthly P&amp;L analysis by channel, brand, and store, including variance analysis.</li><li>Develop and maintain KPI dashboards covering sales, margins, operating expenses, and inventory.</li><li>Provide financial insights and scenario analysis to support management decision-making.</li><li> </li></ul><h3><strong>Management Reporting &amp; Business Support</strong></h3><p> </p><ul><li>Prepare monthly management reporting packs and presentations for business reviews and leadership meetings.</li><li>Work closely with accounting during month-end close, including accruals and analytical reviews.</li><li>Support new store feasibility studies, lease renewals, and other investment cases.</li><li>Provide ad hoc financial analysis and decision support to management.</li><li> </li></ul><h3><strong>Systems &amp; Process Improvement</strong></h3><p> </p><ul><li>Improve financial models and automate recurring reports using Excel, Power BI, and AI tools.</li><li>Support ERP and BI system enhancements and ensure financial master data remains accurate.</li><li>Document reporting and financial processes to ensure consistency, efficiency, and auditability.</li></ul><h2> </h2><h2><strong>Skills &amp; Experience</strong></h2><p> </p><ul><li>Bachelor’s degree in Finance, Accounting, or a related field.</li><li>CIMA, ACCA, CA, or CFA qualification (qualified or part-qualified) is preferred.</li><li>5–8 years of experience in FP&amp;A or commercial finance, with 2–3 years preferably within retail.</li><li>Experience in multi-store, multi-channel, or franchise businesses is preferred.</li><li>GCC experience is strongly preferred.</li><li>Advanced Excel and strong PowerPoint skills are essential.</li><li>Experience with Power BI or similar business intelligence tools is an advantage.</li><li>Hands-on experience with Microsoft Dynamics or a similar major ERP system.</li><li>Strong financial modelling, analytical, and problem-solving skills.</li><li>Excellent communication and presentation skills with strong commercial acumen.</li><li>Ability to manage multiple priorities, meet deadlines, and work effectively with cross-functional teams.</li></ul>

Senior Finance Analyst

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