What Jobs are available for Senior Researcher in the United Arab Emirates?

Overview

PageGroup was established in the United Kingdom in 1976. Since this time, it has grown to be one of the world's most successful recruitment organisations. Listed on the London Stock Exchange as a FTSE 250 company, PageGroup currently employ over 8000 staff in 37 countries!

Michael Page Middle East recruits at all levels (from graduates to Directors) across multiple disciplines including, Banking & Financial Services, Digital, Engineering & Manufacturing, Executive Search, Finance & Accounting, Healthcare, Human Resources, Legal, Marketing, Office Support, Procurement & Supply Chain, Property & Construction, Retail, Sales, Technology & Emiratisation.

• Taking Job Briefs from Managers & Directors for active positions, asking accurate questions to be able to target the right candidates to the right opportunities.
• Preparing market mappings assigned by respective Director/Manager
• Actively working for the Manager/ Director on sourcing, shortlisting, screening and briefing candidates.
• Putting together high-level information packs for candidates to better understand the client, role and job market in the region.
• Maintaining trackers to update progress on each role being on across various clients which serves as a personal database.
• Updating the records of active candidates on our recruitment database.
• Managing interview processes between clients and candidates.

• A keen interest in recruitment and the business services industry.
• Strong organisational skills and attention to detail.
• Ability to work effectively in a team-oriented environment.
• Proficiency in using MS Office and online research tools.
• A proactive attitude with a willingness to learn and adapt.

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive modelling. You will collaborate with other researchers to work on monetization of quantitative trading strategies, exploring state-of-the-art portfolio construction techniques. Successful hires will ultimately become thought leaders within our collaborative research group.

• Conduct original research in quantitative portfolio management.
• Manage all aspects of the research process, including idea generation, data analysis, hypothesis testing, and implementation.
• Follow, digest and analyze the latest academic research.
• Build analytical tools to supplement our shared research framework.

• 2 years of professional work experience or PhD in a quantitative discipline: econometrics, mathematics, statistics, physics, computer science.
• Programming in Python (or comparable language) and working knowledge of SQL.
• Fluency in data science practices, e.g. feature engineering. Experience with machine learning is a plus.
• Highly motivated, curious, and critical thinker.
• Willingness to take ownership of his/her work.
• Ability to work both independently and collaboratively within a team.
• Prior experience in the financial services industry is not required.
• Commitment to the highest ethical standards.

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

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We are seeking a highly motivated quantitative researcher to join our Investment Management & Research group, focussing on MENA Equities. You will play a key role in researching, developing and operating our equities strategies in the region, partnering with portfolio managers, researchers, and technology to build and optimise the full strategy lifecycle – from research and back testing to live trading and risk management.

You will spend an initial period of approximately 6 months working in our London office before relocating to our office in Abu Dhabi.

Responsibilities:

• Conduct in-depth research to identify alpha-generating strategies in MENA equity markets
• Research and back test systematic trading signals
• Collaborate closely with portfolio managers, researchers and technologists to develop trading infrastructure and strategies
• Monitor, analyse and report on strategy performance

What We’re Looking For:

• 3+ years of experience working in a systematic equity trading environment
• Proficiency in data analysis and programming, preferably using Python and key libraries such as Pandas and NumPy
• Exceptional understanding of signal research and portfolio construction
• Strong communication skills with the ability to work in a distributed and collaborative research environment.

We are proud to be an equal opportunity workplace. We do not discriminatebased upon race, religion, color, national origin, sex, sexualorientation, gender identity/expression, age, status as a protectedveteran, status as an individual with a disability, or any otherapplicable legally protected characteristics.

Our assessment and selection processes are aimed at you showcasing your abilities rather than passing arbitrary tests.They are designed according to the requirements of our teams to identify the skills and attributes we seek.A member of our recruitment team will work with you throughout the process, guiding you at each stage.

Your application will be viewed by a member of our Human Capital team.

We will invite you to our offices for interviews with individuals from inside and outside the team you will join.

Your background and suitability for the role will be assessed by a member of our Human Capital team.

A member of our recruitment team will talk you through the offer details including compensation,benefits, role responsibilities and future career paths.

You may be asked to complete a technical assessment and/or case study.

Overview

We want to crack the hardest challenges in systematic investing.

ADIA’s Quantitative Research & Development team works in a multidisciplinary environment, where experts with deep specializations pioneer new ways to think about investing, and put these ideas into practice.

Our team leverages data to enable the research, development and implementation of quantitative investment strategies by providing comprehensive, clean, and actionable data as well as building robust, efficient, and scalable technology.

• Data Ingestion & Cleansing : Develop pipelines to clean, tag and integrate new data sources.
• Data Analysis : Generate descriptive statistics, uncover valuable patterns and present potential applications of datasets.
• Data Infrastructure : Maintain automated systems for data collection, cleaning and retrieval.
• Education : Ph.D. or Masters in a quantitative discipline or equivalent experience.
• Experience : 3+ years in data science
• Technical Skills : Strong proficiency in SQL and Python, as well as proficiency in at least one other language. Cloud experience and familiarity with financial data sets are a plus.
• Analytical Skills : Experience with applying analytical and statistical techniques to large real-world datasets.
• Problem Solving & Communication : Ability to solve complex problems and communicate findings to technical and non-technical stakeholders.
• Passion for Data : Curiosity and desire to learn new methods and technologies.

Ahmad Abdulla Ahli Advocates and Legal Consultants is a reputed law firm located in Dubai Healthcare City, UAE, known for delivering comprehensive legal solutions across multiple practice areas. The firm combines decades of expertise with a deep understanding of local and international legal frameworks, providing clients with practical, effective, and result-driven legal services. Its team of experienced lawyers and consultants represent a diverse clientele, ranging from individuals to multinational corporations, ensuring tailored advice that meets both commercial and personal legal needs. With a strong commitment to professionalism, ethical practice, and excellence, the organisation continues to play a vital role in safeguarding client interests in the dynamic legal landscape of the UAE.

The firm seeks candidates who possess at least seven years of experience in UAE legal practice, ensuring they bring strong familiarity with local laws, court procedures, and regulatory frameworks. Fluency in both English and Arabic is mandatory, as the role requires drafting, reviewing, and communicating legal matters in both languages effectively. Applicants should demonstrate proven expertise in litigation, regulatory compliance, and dispute resolution. Strong research and analytical skills, combined with the ability to draft precise legal documents and provide accurate legal opinions, are essential. Prior experience in client consultation, contract negotiations, and liaising with government bodies will be an added advantage. Candidates must also possess excellent communication, interpersonal, and time-management skills to thrive in a demanding legal environment.

The position of Lawyer / Legal Researcher involves a diverse range of responsibilities critical to the firm’s legal operations. The selected professional will be required to conduct in-depth legal research, provide well-reasoned opinions, and support litigation and compliance matters. Duties include drafting, reviewing, and revising contracts, legal memoranda, and court submissions in both Arabic and English. The role further involves advising clients on dispute resolution strategies, monitoring legislative changes, and ensuring compliance with evolving laws and regulations. The lawyer will also represent the firm in meetings, consultations, and court hearings, while assisting in case preparation, evidence management, and coordination with government authorities. This role demands high levels of accuracy, critical thinking, and professional judgment to ensure the best outcomes for clients.

Interested candidates who meet the eligibility criteria are invited to apply for this position by submitting their updated resume to . Applicants should ensure that their resume highlights relevant experience, language proficiency, and legal expertise acquired in the UAE. Since the role requires significant professional responsibility, candidates are encouraged to include a cover letter that details their key achievements, legal research capabilities, and case-handling experience. Applications will undergo a thorough review process, and shortlisted candidates will be contacted for further discussions. As the position is based in Dubai Healthcare City, applicants should be prepared for full-time, on-site employment. Early submission is advised as the firm will proceed with the selection process promptly to fill this important role.

Company : Galaxeer Space Consultancy LLC

Date Posted :

Institution: Galaxeer Space Consultancy LLC (Abu Dhabi, UAE)
Deadline for Application: July 25, 2025; 5:00 PM
Project Title: Development of a Python-based AI/ML Library for Space Applications Project Leader: Dr. Florence Wong
Duration: August-September 2025 (subject to extension)
Salary: Php 28,000/month (+ performance-based incentives)
Tentative schedule of interviews: July 28, 2025 (afternoon)

We’re developing a Python library for various applications in space. Accepted applicants will work remotely and coordinate with our team in the UAE for an initial period subject to extension.

Qualifications,Duties and Responsibilities:

• Bachelor’s Degree or higher in Computer Science or relevant to the job
• Experience working with CNN/GNN convolution layers
• Lead the design, implementation, and optimization of architecture of CNN/GNN convolution layers.
• Drive architectural innovation and decision-making.
• Mentor RAs and coordinate integration of new components.
• Actively participate in model tuning, evaluation, and quality assurance.

Interested and qualified applicants should signify their interest in writing. Please attach the following documents to the application letter and send to :

• Resume/CV
• A 30-second video outlining relevant CNN/GNN coding experience Subject: Senior ML Engineer for Galaxeer Project

Selected candidates will be invited for a coding interview and test; candidates who successfully pass the coding interview will be invited to a general interview to determine the candidate’s fit for the role and company culture.

Effective Business Decisions Using Data Analysis

ID 257

Course: Effective Business Decisions Using Data Analysis

This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.

• Discussions on applications of data analytics in management
• The importance of data in data analytics
• Applying data analytical methods through worked examples
• Focusing on management interpretation of statistical evidence
• How to integrate statistical thinking into the work domain

• Explain the scope and structure of data analytics.
• Apply a cross-section of useful data analytics.
• Interpret meaningfully and critically assess statistical evidence.
• Identify relevant applications of data analytics in practice.

• Professionals in management support roles
• Analysts who typically encounter data/analytical information regularly in their work environment
• Those who seek to derive greater decision-making value from data analytics

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.

• Day One: Setting the Statistical Scene in Management
  • Introduction; The quantitative landscape in management
  • Thinking statistically about applications in management (identifying KPIs)
  • The integrative elements of data analytics
  • Data: The raw material of data analytics (types, quality, and data preparation)
  • Exploratory data analysis using Excel (pivot tables)
  • Using summary tables and visual displays to profile sample data
• Day Two: Evidence-based Observational Decision Making
  • Numeric descriptors to profile numeric sample data
  • Central and non-central location measures
  • Quantifying dispersion in sample data
  • Examine the distribution of numeric measures (skewness and bimodal)
  • Exploring relationships between numeric descriptors
  • Breakdown analysis of numeric measures
• Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
  • The foundations of statistical inference
  • Quantifying uncertainty in data – the normal probability distribution
  • The importance of sampling in inferential analysis
  • Sampling methods (random-based sampling techniques)
  • Understanding the sampling distribution concept
  • Confidence interval estimation
• Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
  • The rationale of hypotheses testing
  • The hypothesis testing process and types of errors
  • Single population tests (tests for a single mean)
  • Two independent population tests of means
  • Matched pairs test scenarios
  • Comparing means across multiple populations
• Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
  • Exploiting statistical relationships to build prediction-based models
  • Model building using regression analysis
  • Model building process – the rationale and evaluation of regression models
  • Data mining overview – its evolution
  • Descriptive data mining – applications in management
  • Predictive (goal-directed) data mining – management applications

Overview

Job Title: Business Data Analyst (Banking) - Digital Transformation

Job Type: Full-Time Contract (1 year, renewable)

Location: On-site, Dubai, Dubai, United Arab Emirates

Job Summary:

Join our team as a Business Data Analyst at the forefront of digital transformation within a leading UAE bank. In this pivotal role, you will bridge business stakeholders and technology teams, applying deep analytical expertise to drive insights, optimize processes, and elevate customer journeys across key digital banking initiatives. Embrace an asynchronous work culture that values exceptional written communication and proactive problem-solving.

• Elicit, analyze, and document business requirements, user stories, and process flows for digital projects.
• Act as a key liaison between business units and technical teams to ensure clear understanding of project objectives.
• Conduct gap analysis and impact assessments for new features and system changes within core banking functions.
• Participate in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and daily stand-ups.
• Design and execute test scenarios, supporting user acceptance testing (UAT) and solution validation.
• Write complex SQL queries to extract and analyze large datasets, generating actionable insights and KPI reports with Power BI.
• Translate analytical findings into clear, data-driven recommendations and presentations for diverse stakeholders.

• Bachelor’s degree in Computer Science, Engineering, Finance, Business, or a quantitative discipline.
• 5-9 years’ experience as a Business Analyst, with a strong background in Banking, Financial Services, or FinTech.
• High proficiency in SQL and PL/SQL, with hands-on experience in Power BI for data visualization.
• Proven experience working with core-banking systems and exposure to digital transformation projects.
• Solid understanding of Agile methodologies (Scrum, Kanban) and expertise with JIRA.
• Exceptional written communication skills, adept at working in asynchronous, collaborative environments.
• Strong analytical and critical thinking abilities with excellent stakeholder management.

• Relevant professional certifications (CBAP, PMI-PBA, Agile Scrum, Data Analytics).
• Experience with data modeling, Python or R for advanced analytics, and systems like Flexcube or OFSAA.
• Expertise in digital banking products, customer journey mapping, and process optimization.

Become part of our team and contribute to high-impact initiatives, working on projects that set industry standards and drive meaningful change. We foster an inclusive, high-performing culture offering career development opportunities, comprehensive benefits, and a collaborative environment to help you thrive.