49 Research Director jobs in the United Arab Emirates

We seek a visionary leader to spearhead our quant research initiative. As the head of quantitative research, you will orchestrate strategy development, mentor high-calibre researchers and data scientists, and ensure seamless integration into our trading operations.

• Define and implement quant research strategies
• Lead a team of researchers and data scientists
• Oversee the entire lifecycle of strategy development

• Proven leadership experience in quantitative research
• Strategic thinking and problem-solving skills
• Excellent communication and collaboration skills

• Opportunities for career growth and professional development
• Collaborative and dynamic work environment
• Competitive compensation and benefits package

Quantitative Research Leader

Shaping the Future of AI-Driven Trading

As a key member of our quantitative research team, you will define and lead our research strategy. Your expertise will oversee the full lifecycle of strategy development, ensuring seamless integration into our trading operations.

The ideal candidate will be a hands-on leader who champions next-generation technology, fosters deep collaboration across trading, and delivers a steady pipeline of alpha-generating ideas for Portfolio Managers to evaluate and deploy.

• Leadership & Vision: Develop and execute the firm's research roadmap, embedding next-generation technologies and AI at every stage.
• Cross-Functional Collaboration: Act as principal liaison between research, trading, portfolio management, and risk, ensuring smooth hand-offs and shared ownership of strategy performance.

This is an opportunity to join a cutting-edge digital asset manager with institutional-scale ambitions. You will have the chance to shape the future of AI-driven trading by building and scaling GenAI-enhanced workflows.

We offer competitive compensation, performance incentives, and equity in a high-growth environment. A collaborative, fully remote culture values innovation, autonomy, and rapid execution.

• Define Research Roadmap: Lead the development of our research strategy, incorporating emerging technologies and AI techniques.
• Collaborate Across Functions: Foster strong relationships between research, trading, and portfolio management teams to ensure seamless strategy execution.
• Drive Innovation: Champion the adoption of next-generation technologies and GenAI-enhanced workflows to stay ahead of the curve.

We are seeking a highly skilled and experienced Quantitative Research Director to lead our research strategy, build a high-performing team of researchers and data scientists, and oversee the development of next-generation technologies and AI.

• Strategy Development: Define and execute the firm's quantitative research roadmap, ensuring seamless integration into trading operations.
• Talent Acquisition and Development: Recruit, mentor, and retain top quant talent, fostering deep collaboration across trading and engineering teams for maximal innovation.
• Culture and Innovation: Foster a culture of rigorous validation, creative experimentation, and continuous learning, leading by example in ideation, prototyping, and implementation of cutting-edge strategies using novel statistical, ML, or hybrid techniques.

About the Role: This is an exciting opportunity to join our organization and contribute to the development of innovative solutions in quantitative research. As a Quantitative Research Director, you will have the autonomy to shape the research strategy, build a high-performing team, and drive business growth through the application of next-generation technologies and AI.

Requirements: To be successful in this role, you will need to have a strong background in quantitative research, excellent leadership skills, and experience in building and managing high-performing teams. You should also have a proven track record of developing and executing research roadmaps, driving business growth through innovation, and collaborating with cross-functional teams.

What We Offer: In return for your expertise and dedication, we offer a competitive salary package, opportunities for career growth and development, and a dynamic and collaborative work environment.

We are seeking a pioneering leader to spearhead our quantitative research efforts, driving innovation and excellence in the development of cutting-edge strategies.

The successful candidate will have a strong background in quantitative research, with hands-on experience in statistics, machine learning, and deep learning for financial applications. They will also possess excellent leadership skills, with the ability to mentor and inspire a high-calibre team of researchers and data scientists.

We're seeking a highly skilled leader to spearhead our quantitative research efforts.

This role demands a strategic thinker who champions cutting-edge technology, fosters collaboration across trading and engineering teams, and delivers innovative solutions for portfolio managers to evaluate and deploy.

This position is ideal for someone with a strong background in quantitative research, leadership experience, and expertise in statistics, machine learning, and AI.

About the Role:

• Develop and execute the firm's quantitative research roadmap, incorporating next-generation technologies and AI at every stage.
• Lead by example: ideate, prototype, and implement advanced strategies using novel statistical, ML, or hybrid techniques.
• Build and maintain a robust pipeline of alpha signals, backtested, ranked, and packaged for PMs to review and select.
• Foster a culture of rigorous validation, creative experimentation, and continuous learning.
• Ensure reproducibility and high quality of code, research documentation, and deployment workflows.

About You:

• Advanced degree (PhD / Master's) in a quantitative field (Mathematics, Statistics, Physics, CS, Engineering).
• 8+ years in quantitative research at hedge funds, prop trading, or quantitative asset managers, with demonstrable leadership impact.
• Proven hands-on expertise in statistics, time series modeling, ML, deep learning, and generative AI for financial applications.

We Offer:

• A dynamic work environment that encourages innovation and creativity.
• Opportunities for professional growth and development.
• A competitive compensation package.

We are seeking a highly skilled Research Manager to lead and execute research activities related to Premarket Tobacco Applications (PMTAs).

The ideal candidate will possess excellent leadership skills, the ability to design and analyze epidemiological studies, and a strong understanding of regulatory requirements.

• Develop and execute research strategies for PMTA submissions, including clinical studies, epidemiological studies, and other relevant scientific investigations.
• Design and analyze epidemiological studies to assess the potential health effects of tobacco products.
• Apply advanced statistical methods to analyze complex datasets and generate meaningful insights for PMTA submissions.
• Collaborate with cross-functional teams to ensure alignment of research activities with overall business objectives.
• Manage external research vendors and consultants to ensure projects are completed on time and within budget.
• Prepare and review scientific documents for PMTA submissions, including study protocols, statistical analysis plans, and clinical study reports.
• Stay abreast of current regulatory requirements and scientific advancements related to PMTAs and the tobacco/nicotine industry.
• Present research findings to internal and external stakeholders, including regulatory agencies.

• Advanced degree in Epidemiology, Biostatistics, or a related field.
• Minimum of 4 years of experience in epidemiological and statistical research, preferably within the tobacco/nicotine industry or a related regulated industry.
• Demonstrated expertise in designing and analyzing epidemiological studies, including cohort studies, case-control studies, and cross-sectional surveys.
• Strong proficiency in statistical programming languages and statistical modeling techniques.
• Experience with PMTA submissions and FDA regulatory requirements is highly preferred.

Data Analysis Specialist

We are seeking a skilled data analysis specialist to join our team. The ideal candidate will have expertise in developing and implementing data-driven solutions.

The successful candidate will work closely with stakeholders to identify business needs and develop effective strategies to address them.

• Key Responsibilities:
• Develop and implement data analysis models to inform business decisions
• Analyze large datasets to identify trends and patterns
• Design and implement data visualization tools to communicate insights effectively
• Collaborate with cross-functional teams to integrate data analysis into business processes

Required Skills:

• Advanced knowledge of statistical techniques and machine learning algorithms
• Experience with data visualization tools such as Tableau or Power BI
• Strong programming skills in languages such as Python or R
• Ability to communicate complex data insights to non-technical stakeholders

Benefits:

• Opportunity to work on challenging projects and collaborate with experienced professionals
• Professional development opportunities, including training and mentorship
• A dynamic and inclusive work environment

Job Title: Data Expert

At our organization, we are seeking a talented Data Expert to join our team. As a key member of our data science team, you will play a vital role in helping us make informed decisions by leveraging data insights and analysis.

Key Responsibilities:

• Design and implement advanced statistical models to analyze complex data sets.
• Develop and maintain databases to store and manage large datasets.
• Collaborate with cross-functional teams to identify business needs and develop solutions.
• Communicate findings and insights effectively to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies.

Required Skills and Qualifications:

• Bachelor's degree in statistics, applied mathematics, or related discipline.
• Minimum of 4-6 years of experience in a similar role.
• Proficiency with data mining, mathematics, and statistical analysis.
• Advanced pattern recognition and predictive modeling experience.
• Experience with Excel, Tableau/Looker Studio, SQL, and programming languages such as Python and R.
• Storytelling and data visualization skills.
• Comfort working in a dynamic, data-oriented team with several ongoing concurrent projects.

Preferred Qualifications:

• Master's degree in stats, applied math, or related discipline.
• Experience with NoSQL, Pig, Hive, and PySpark/Big Query.

Data Analysis Opportunity

• Collect, examine, and interpret data to reveal trends and patterns.
• Create clear visual reports based on data analysis and provide actionable recommendations.
• Work with large datasets using statistical methods.

• Degree or equivalent in a related field.
• Previous experience as a Data Analyst is preferred but not essential.
• Proficiency in Microsoft Office (especially Excel) and programming languages such as SQL, R, or Python is advantageous.

Benefits:

Join our team and develop your skills while contributing to our success.