Data Scientist | Quantitative Analyst at connecthum | Dubai

Join our dynamic team as a Data Scientist | Quantitative Analyst at connecthum, a rapidly expanding trading firm dedicated to enhancing its research and analytical capabilities.About connecthum:Experience a quant-driven trading environment.Engage in fast decision-making cycles that have a measurable impact on P&L.Be part of a data-first culture.Help scale research throughput to expedite strategy development.In this pivotal role, you will bridge the gap between trading, data science, and strategic decision-making.Your Contributions:Establish yourself as the primary expert in trading-related analytics and dashboards.Take ownership of and enhance strategy rebalance frameworks.Conduct hypothesis testing and backtesting on trading strategies.Assess and optimize existing trading strategies.Enhance access to clean, structured, and actionable data.Develop reporting pipelines and insightful dashboards.You will gain direct visibility into trading performance and the strategic impact of your work.Technical Environment Overview:Utilize Python for production-grade analytical workflows.Engage in large-scale SQL querying and work with analytical databases.Employ data visualization and dashboard tools.Implement statistical modeling and hypothesis validation techniques.Perform time-series analysis.Your Strengths:Proficient in Python with the ability to write clean, reproducible analytical code.Confident in handling large datasets using SQL.Strong grasp of statistics and probability principles.Experience in data visualization and reporting.Demonstrates an independent and self-motivated mindset.Excellent communicator — able to translate complex data into actionable decisions.Fluent in English.Willingness to relocate to Dubai.Preferred Qualifications:Background in trading or financial domains is a plus.

Join our dynamic team as an Algorithmic Trader at connecthum, a rapidly expanding high-frequency trading firm engaged in the digital asset markets.About Us:Quantitative-driven trading atmosphereRobust in-house technology and automation emphasisDiverse international team collaborating across different time zonesCulture that promotes high performance and rapid feedbackOur firm utilizes systematic and algorithmic methodologies to trade effectively in digital markets.Your Role:Execute trades across various instruments in the digital marketsInnovate and enhance algorithmic trading strategiesDevelop internal tools and automation frameworksOversee risk management and portfolio executionEngage closely with developers and research teamsYou will thrive in a highly analytical and competitive atmosphere with direct influence on P&L outcomes.What We’re Looking For:Graduates from 2022–2024, preferably in STEM fieldsExceptional mental arithmetic and analytical skills1–3 years of coding experience (minimum 1 year professionally)Fundamental understanding of algorithms and data structuresFluent in EnglishWillingness to relocate to DubaiPrevious trading experience is not mandatory; a strong desire to learn and a passion for quantitative markets are more valuable.Preferred Qualifications:Involvement in academic or national competitionsStrong academic achievementsGenuine interest in algorithmic and high-frequency tradingWhy You Should Apply:Flexible working hoursRelocation assistance to DubaiAnnual team-building retreatsDirect involvement in trading outcomesRapid career advancement opportunities in quantitative trading

Company: SFORS Location: Dubai, United Arab Emirates About SFORS SFORS is an established name in global financial markets, focused on proprietary trading and pre-market strategies. For over two decades, the firm has built its reputation on developing talent, investing in advanced trading technology, and applying sophisticated risk management models. SFORS trades exclusively with proprietary capital, creating a focused environment for its teams. Role Overview: Risk Quantitative Analyst The Risk Quantitative Analyst will join the Risk Management team. This role works directly with traders and risk managers to develop, validate, and improve market risk models. The main goal: ensure strong risk oversight of equity portfolios, especially those in US markets. What You Will Do Collaborate with traders and risk managers on risk model development Validate and refine market risk models for equity portfolios Support effective risk oversight for US market trading activities Work Environment SFORS operates with proprietary funds only, offering a dedicated and focused trading setting.

Join Envision Employment Solutions as we seek a talented Senior Data Scientist for our esteemed partner, a global frontrunner in IT Services and Consulting.Position Overview:We are on the lookout for a highly knowledgeable Senior Data Scientist who will take charge of designing, constructing, and implementing cutting-edge machine learning and natural language processing (NLP) solutions, including applications based on large language models. The successful candidate will possess significant production experience, deep understanding of transformer architectures, and the capability to spearhead technical projects from inception through to deployment.Key Responsibilities:Machine Learning & NLP DevelopmentCraft and develop comprehensive machine learning models, with a strong emphasis on NLP applications.Fine-tune and deploy large language models, including GPT, BERT, and LLaMA, tailored for specific applications.Construct, train, and assess deep learning models utilizing frameworks like TensorFlow, PyTorch, or Keras.Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions.Enhance and optimize transformer-based models for tasks such as summarization, Q&A, and document intelligence.Assess and refine prompt engineering strategies for improved context efficiency.Data Engineering & PipelinesDevelop robust data pipelines utilizing tools such as Airflow, Spark, or Dataiku.Engage in data wrangling and preprocessing using libraries like pandas and NumPy.Design and oversee feature stores.Integrate and manage vector databases such as Pinecone, FAISS, or Chroma.Model Deployment & ProductionEstablish and maintain RESTful APIs for deploying ML models in production environments.Implement scalable AI services and manage continuous integration/continuous deployment (CI/CD) pipelines.Monitor model performance, including drift detection and lifecycle management.Conduct A/B testing, ensemble blending, and utilize explainability techniques such as SHAP and LIME.Statistical & Analytical ExpertiseUtilize advanced statistics, probability theory, and experimental design.Conduct hypothesis testing and data-driven analyses to inform business decisions.Collaboration & IntegrationCollaborate effectively with product and engineering teams to integrate AI solutions into production systems.Work alongside cross-functional stakeholders to deliver scalable AI capabilities.Requirements:Qualifications:Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field.At least 4 years of experience in machine learning and data science roles.Demonstrated history of delivering production-grade ML and NLP projects.Experience in leading small data science teams or technical projects.

Join our dynamic team at mexdigital as a Data Analyst. We are looking for a detail-oriented individual who is passionate about transforming data into actionable insights. You will be responsible for analyzing complex data sets, generating reports, and presenting findings to stakeholders. This role is ideal for someone who thrives in a fast-paced environment and is eager to contribute to data-driven decision-making.

About SFORS SFORS stands out in the global financial markets for its proprietary trading and leadership in pre-market activity. With more than 20 years in the stock market, the firm’s track record is built on talent development, advanced trading technology, strong risk management, and innovative strategies. SFORS operates solely with proprietary funds, focusing on internal growth and long-term sustainability. Role Overview: Data Analyst The Data Analyst will turn complex data into clear, actionable insights that shape business strategy. This role partners with stakeholders to define key performance indicators, build accessible dashboards, and deliver analysis that drives strategic decisions. The analyst helps connect detailed data sets with business needs, ensuring data stories are both accurate and engaging. Main Responsibilities Analyze data to spot trends, anomalies, and areas for growth. Design and maintain automated Business Intelligence dashboards that provide real-time KPI insights. Translate business questions into technical requirements and present findings to non-technical stakeholders. Work with the Data Engineering team to validate data quality and support data model verification. Location This position is based in Dubai, United Arab Emirates.

Dataiku is at the forefront of AI innovation, providing an enterprise orchestration layer that simplifies the creation, deployment, and governance of AI solutions. Our platform empowers teams to design and operate analytics, machine learning, and AI agents within a collaborative environment that emphasizes transparency and control. By integrating seamlessly with various data platforms, cloud infrastructures, and AI services, Dataiku enables organizations to implement AI strategies effectively across diverse vendor environments with centralized governance.Renowned companies across the globe depend on Dataiku to transform AI into a genuine driver of business performance, delivering measurable outcomes. For further insights, visit the Dataiku blog, LinkedIn, X, and YouTube.As a Senior Data Scientist at Dataiku, you will play a pivotal role in addressing real-world challenges by developing innovative solutions while also engaging directly with clients throughout their journey. Your responsibilities will encompass assisting clients in exploring the Dataiku platform, integrating it with other technologies, delivering user training, and collaboratively developing data science projects from inception to deployment.In this position, both technical and interpersonal skills are essential. You will leverage the Dataiku platform daily, utilizing primarily Python and SQL, with opportunities to work in other languages such as R, PySpark, and JavaScript. The ideal candidate will possess a passion for mastering complex technologies and modeling techniques and will be adept at articulating their work to both fellow data scientists and clients.Your contributions will include:Co-developing production-level data science projects in partnership with our clients.Analyzing diverse datasets and exploring machine learning applications across various industries and use cases.Facilitating user training sessions and providing ongoing consultative support to help users maximize their use of the Dataiku platform.Offering data science expertise to both customers and internal teams, including sales and marketing.

Join our team as a Middle C++ Developer at connecthum, a leading technology-driven trading firm focused on enhancing our low-latency infrastructure and market connectivity systems.About connecthum:Engaged in a quantitative trading environment.Cultivating a performance-driven engineering culture.Possessing robust in-house infrastructure and execution stack.Actively scaling trading systems to meet increasing market demands.This pivotal role is integral to our latency-sensitive trading infrastructure.Your Contributions:Develop and implement innovative market connectivity components.Enhance existing high-load C++ applications.Optimize systems for reduced latency and increased throughput.Ensure stability and operational excellence of core infrastructure.Work collaboratively with Python engineers, data teams, and trading operations.Your work will directly influence system speed, reliability, and overall trading performance.Your Skills:3 to 4+ years of experience in software development using modern C++.Experience in high-load, low-latency systems.Strong grasp of algorithms and data structures.Solid networking fundamentals including APIs, sockets, and real-time protocols.Proficient debugging and troubleshooting capabilities.Fluency in English.Willingness to relocate to Dubai.Preferable Qualifications:Experience in trading or high-frequency trading environments.Knowledge of distributed systems.Familiarity with market connectivity protocols.Experience with cloud technologies or observability tools.Basic understanding of Python.Why Work With Us:Flexible working hours.Relocation package to Dubai.Annual team off-sites.Direct exposure to trading strategies and systems.

Bayut and dubizzle are distinguished as iconic, homegrown brands boasting a robust presence across the seven emirates in the UAE. We connect millions of users nationwide and are dedicated to providing the ultimate online search experience.As a member of Dubizzle Group, you will collaborate with some of the strongest classified brands in the market. With a combined strength of five brands, we serve over 123 million monthly users who trust us to provide the ideal platform for their needs.In your role as a Data Analyst Intern, you will play a pivotal role in promoting data and our methodologies to functional analysts and stakeholders throughout the company.You will engage closely with teams in marketing, sales, finance, and product, thriving in a dynamic, professional, and international environment.Your responsibilities include: Accessing and manipulating large datasets to support planned analyses utilizing SQL, Python, and similar tools. Designing and developing BI dashboards using Sisense or similar platforms (e.g., Tableau, Power BI, Data Studio) to visualize organizational metrics and indicators based on best practices in finance, sales, inventory, and more. Assisting in defining KPIs and driving data governance through standardization and communication. Enhancing analysis and reporting capabilities; monitoring performance and quality control plans to identify improvements. Demonstrating proficiency in query writing, report generation, and presenting findings. Researching and validating entity data using appropriate internal and external data sources. Liaising and analyzing across projects within the Reference Data environment. Analyzing, specifying, testing, and implementing interfaces, workflow solutions, and reference data solutions, including regression testing systems prior to upgrades. Participating in the design, implementation, and interpretation of experiments for continuous refinement of ongoing strategies. Qualifications: Bachelor’s degree in statistics, mathematics, computer science, or a related field. Proficiency in SQL and Microsoft Excel. Knowledge of statistics and experience with statistical packages for dataset analysis (e.g., Excel, SPSS, SAS). Excellent verbal and written communication skills. Strong problem-solving abilities. Benefits: Contribute to a platform utilized by over 5M users in the UAE and other regional platforms. Enhance your resume and expand your professional network. Opportunity to secure a full-time position with a leading organization in the region. Work in a multicultural environment representing over 60 different nationalities. Access to Learning & Development opportunities.

Envision Employment Solutions is actively seeking a Lead Data Scientist for our esteemed partner, a prominent player in the IT Services and IT Consulting sector.Job Overview:We are in search of a forward-thinking AI leader who will spearhead our enterprise-scale AI initiatives, including strategy formulation, architecture design, and successful project execution. This pivotal role necessitates profound knowledge of large language models (LLMs), AI governance, and robust machine learning platforms, along with exceptional leadership and communication skills that resonate with executive stakeholders.The ideal candidate will possess a wealth of experience in constructing and scaling enterprise AI ecosystems while managing interdisciplinary teams in multifaceted environments.Key Responsibilities:Strategic AI LeadershipEstablish and execute AI roadmaps that are in harmony with corporate objectives.Oversee the comprehensive model lifecycle, from research and experimentation through to production deployment.Ensure that AI projects deliver quantifiable ROI and tangible business benefits.LLM & NLP Architecture (Enterprise Level)Architect LLM ecosystems, including RAG pipelines, orchestration layers, and fine-tuning methodologies.Guide domain-specific model fine-tuning and pretraining utilizing proprietary datasets.Integrate state-of-the-art platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI.Define governance, compliance, and security frameworks for LLM implementations.Establish evaluation criteria for hallucination rates, factual accuracy, bias, and toxicity.Infrastructure & GovernanceDevelop and manage data governance policies and feature store strategies.Lead frameworks for model observability, monitoring, and drift management.Collaborate with DevOps and Security teams to guarantee scalability, resilience, and compliance.Team & Stakeholder LeadershipAssemble and mentor multidisciplinary AI teams, including Data Scientists, ML Engineers, and Data Engineers.Provide mentorship to senior scientists and establish research best practices.Engage directly with executive leadership and non-technical stakeholders.Assess AI vendors and explore technology partnerships.Qualifications:Master’s or PhD in AI, Machine Learning, Computer Engineering, Applied Mathematics, or a related field.A minimum of 7 years of overall professional experience.At least 2 years in AI/ML leadership positions.Demonstrated capability to build and scale enterprise-level AI/LLM platforms.Leadership Competencies:Innovative mindset that propels enterprise-wide transformation.Exceptional executive communication and influence skills.Focused on delivering measurable ROI, scalability, and ethical AI practices.

Role Overview Delivery Hero is hiring a Staff Data Scientist focused on Artificial Intelligence (AI) and Machine Learning (ML) in Dubai. This senior position plays a key role in advancing how the company uses data to make decisions and improve services. What You Will Do Work with teams across the business to design and build advanced algorithms and models. Apply AI and ML techniques to solve real problems and improve customer experiences. Help guide the direction of data science projects that influence the future of Delivery Hero’s offerings. Location This role is based in Dubai.

Modeling Expertise:Proven experience in designing and implementing propensity models focused on cross-selling and upselling opportunities.In-depth knowledge of Next Best Action / Next Best Offer systems.Solid understanding of supervised learning methodologies, uplift modeling, and causal inference techniques.Programming & Engineering:Proficient in Python (required); knowledge of R or Scala is advantageous.Experience with distributed computing frameworks such as Spark, Dask, or Ray.Skilled in developing production-level ML pipelines using tools like Airflow, MLflow, or Kubeflow.Strong familiarity with software engineering best practices including version control, CI/CD, and thorough testing.Data Infrastructure:Experience with cloud platforms (AWS/GCP/Azure) and data warehouses (Snowflake, BigQuery, Redshift).Excellent SQL skills; adept at optimizing queries and handling large datasets.MLOps & Deployment:Proven ability to deploy models to production using APIs or streaming technologies (Kafka, Flink).Experienced in model versioning, experiment management, and deployment practices with MLflow, SageMaker, or Vertex AI.Monitoring & Observability:Capable of establishing model monitoring, drift detection, and alerting systems utilizing Prometheus, Grafana, Evidently, or custom dashboards.Familiarity with logging frameworks and performance profiling for ML services.GenAI (Preferred):Experience with Large Language Models, embeddings, prompt engineering, and vector databases (e.g., FAISS, Pinecone).Ability to incorporate GenAI into decision-making systems or customer-facing applications.Leadership & Collaboration:Proven leadership skills to guide senior data scientists while maintaining a hands-on approach.Adept at collaborating with product managers, engineers, and business stakeholders.

Join RAKBANK as a Digital Analyst and become an integral part of our Data Platforms department. In this dynamic role, you will leverage your analytical skills to drive data-driven decisions that enhance our digital offerings. Collaborate with cross-functional teams to analyze performance metrics, identify trends, and create actionable insights that contribute to the growth of our banking solutions.

Join RAKBANK as a Business Analyst and contribute to our mission of driving data-centric initiatives and enhancing business processes across both retail and corporate banking sectors. We are looking for a proactive and meticulous individual who can effectively bridge the gap between business stakeholders and technical teams, ensuring that data insights translate into actionable strategies and optimized DataMarts.Key Responsibilities:Engage with stakeholders to gather, analyze, and document business requirements for data analytics, management information systems (MIS), and artificial intelligence/machine learning (AI/ML).Conduct thorough analyses using SQL, Power BI, and other analytical tools to uncover insights, identify opportunities, and facilitate decision-making across various banking products.Develop a comprehensive understanding of functionalities across retail banking products (such as cards, loans, and accounts) and corporate banking solutions (including trade finance, treasury, and payments).Lead and facilitate User Acceptance Testing (UAT) for DataMarts to ensure they align with business objectives and requirements.Act as a liaison between business units and IT to promote effective communication and alignment on projects.Take responsibility for the delivery and maintenance of DataMarts in support of the strategic analytics division.

Job Title: Lead Data Scientist / Expert in Data Insights.Roles and Responsibilities:Demonstrated proficiency in Business Intelligence tools, particularly Tableau and MicroStrategy, ensuring a continuous flow of actionable data.Strong understanding of the transformative impact of data analytics on business operations, highlighting its advantages.Innovate by developing decision analytics solutions utilizing advanced methodologies and techniques.Design user-friendly processes and reporting models that empower business units to access and manage their data in real-time.Oversee engagement methodologies to ensure compliance, mitigate risks, and maintain the highest quality standards, collaborating with teams to implement necessary adjustments.

Join Careem as a Staff Data Scientist I in our dynamic ETA (Expected Time of Arrival) team, where you will leverage data science techniques to enhance our services. You will work with cross-functional teams to solve complex challenges, drive insights from data, and contribute to product development.

Join Careem as a Senior Data Scientist II, specializing in supply chain analytics. In this role, you will leverage advanced data science techniques to drive decision-making and optimize operations across our supply chain network.Your responsibilities will include analyzing complex datasets, developing predictive models, and collaborating with cross-functional teams to implement data-driven solutions that enhance efficiency and reduce costs.

Oversee and lead a team of proficient data analysts.Develop data mappings essential for creating data marts and lakes.Design and implement user-friendly interfaces and dashboards for effective data interaction and visualization.Conduct thorough testing and validation of software and data products to guarantee accuracy and dependability.Engage in collaboration with fellow developers, data analysts, and stakeholders to ensure software alignment with business objectives.Provide analytical support to Business Performance and Strategic Analytics for departments and decision-makers.Core Skills:Expertise in Data Product Development and Data Mart design.Knowledge of Machine Learning, Deep Learning, Time-Series Analysis, and Optimization techniques.Understanding of Retail, Business, and Wholesale Banking products.Strong communication and interpersonal skills.Proficient in people management with a focus on multicultural awareness.Technical Skills:Proficient in Python (along with R, SAS, and Spark) and SQL, DAX.Strong coding abilities in languages such as Python, R, and Java.Familiarity with cloud data technologies.Competencies:Advanced proficiency in SQL and Python; experience with SAS/R/Spark is an advantage.Experience in deployment across various databases and server/cloud environments including AWS and Azure.Thorough understanding of banking functionalities is a significant advantage.Excellent communication and documentation skills to effectively convey information to stakeholders.Familiarity with tools such as Power BI, Tableau, or Qlik is beneficial.

Join Careem as a Staff Data Scientist I specializing in matching algorithms. In this role, you will leverage your expertise to enhance our platform's capabilities, driving innovation and maintaining our competitive edge in the market.

ABOUT US | Whiteshield is a premier global advisory firm strategically positioned at the crossroads of strategy, public policy, and digital transformation. We collaborate with governments and leading organizations to craft and execute initiatives aimed at enhancing economic competitiveness, fostering digital enablement, and ensuring sustainable growth.Our approach uniquely blends strategic advisory services with pragmatic execution. We empower senior decision-makers to navigate intricate regulatory, economic, and technological landscapes, converting aspirations into well-structured programs, delivery frameworks, and quantifiable outcomes.Unlike conventional consultancies that focus merely on recommendations, we remain actively engaged throughout the implementation process, ensuring that transformation plans are not only conceptualized but also effectively realized.WHERE YOU FIT IN | We are developing robust data platforms and architectures that serve as the backbone of national and enterprise transformation initiatives, facilitating decision-making, AI systems, and large-scale digital services.At Whiteshield, data is not an afterthought; it is a core component. From constructing interoperable data ecosystems across various institutions to enabling AI-ready infrastructures, our work operates at the intersection of engineering, analytics, and strategic foresight.We seek a Data Architect capable of bridging both vision and execution. You will delineate how data is structured, governed, and utilized, ensuring it is reliable, scalable, and poised to produce tangible impacts.You thrive in complex, multi-stakeholder environments, adeptly translating ambiguous requirements into clear data models, architectures, and standards. You possess a deep understanding of how contemporary data platforms bolster AI, analytics, and operational systems, and how to design them effectively.Your role will involve close collaboration with engineers, analysts, policymakers, and client stakeholders to build data ecosystems that are not only technically robust but also user-friendly, trustworthy, and aligned with strategic objectives.WHAT YOU WILL DO | Design and implement scalable, secure, and high-performing data architectures across both cloud and hybrid environments.Establish enterprise data models, standards, and governance frameworks to ensure consistency and interoperability.Architect modern data platforms (data lakes, warehouses, lakehouses) to support analytics, AI, and operational use cases.Lead client engagements as a trusted advisor on data strategy, architecture, and platform design.Translate business and policy objectives into structured data solutions and pipelines.Establish data governance practices, including data quality, lineage, cataloguing, and more.