quantity surveyor

data analyst

estimation engineer

senior data scientist

estimator

quantitative researcher

Fuse Energy

<div>
 We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement models for our energy supply business using Python and other data science tools
 </li>
 <li>
 Identify, analyze, and mitigate credit risk
 </li>
 <li>
 Conduct data analysis and modeling to support risk management decisions
 </li>
 <li>
 Stay current with industry developments and regulations related to credit risk management
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2+ years of experience as a quantitative researcher or data scientist
 </li>
 <li>
 Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy
 </li>
 <li>
 Strong statistical and modeling skills
 </li>
 <li>
 Strong communication and collaboration skills
 </li>
 <li>
 Experience in the energy industry is a plus
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and a stock options sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs!
 </li>
 <li>
 28 days paid annual leave per year including public holiday
 </li>
 </ul>
</div>

Quantitative Researcher

We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models. Responsibilities: <ul><li>Develop and implement models for our energy supply business using Python and other data science tools</li><li>Identify, analyze, and mitigate credit risk</li><li>Conduct data analysis and modeling to support risk management decisions</li><li>Stay current with industry developments and regulations related to credit risk management</li></ul> Requirements: <ul><li>2+ years of experience as a quantitative researcher or data scientist</li><li>Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy</li><li>Strong statistical and modeling skills</li><li>Strong communication and collaboration skills</li><li>Experience in the energy industry is a plus</li></ul> Benefits: <ul><li>Competitive salary and a stock options sign-on bonus</li><li>Biannual bonus scheme</li><li>Fully expensed tech to match your needs!</li><li>28 days paid annual leave per year including public holiday</li></ul>

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 
 
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 
 
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Own the implementation and monitoring of live crypto market-making strategies
 </li>
 <li>
 Analyse interactions between crypto liquidity, token incentive mechanisms, and DeFi market dynamics
 </li>
 <li>
 Design and implement liquidity strategies to support healthy trading of Energy dollars across exchanges
 </li>
 <li>
 Collaborate with engineering to create backtesting, monitoring, and execution tools for token market activity
 </li>
 <li>
 Work with product teams to manage liquidity provision, token supply, and market risk
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2+ years of experience in quantitative research, trading, or market making (crypto or traditional markets)
 </li>
 <li>
 Proficiency in Python for data analysis, backtesting, and monitoring
 </li>
 <li>
 Experience working with large-scale market data and building research pipelines
 </li>
 <li>
 Ability to design dashboards, alerts, or monitoring systems for real-time trading performance
 </li>
 <li>
 Familiarity with DeFi protocols, automated market makers, and token economics is a plus
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and an equity sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner allowance for office based employees
 </li>
 </ul>
</div>

Quantitative Researcher (Crypto)

Millennium Management

<div><div><div>Job Description</div></div><div><div><div><div>
2026 Quantitative Research Intern (Dubai Off Cycle)
Off Cycle Quantitative Researcher Intern
Minimum 6 month, working in a collaborative team, with a focus on machine learnings.
Principal Responsibilities
Work alongside the team members with strong machine learning background to:<ul><li>
Develop additional feature libraries</li><li>
Implement novel machine learning algorithms for return predictions</li></ul>
Preferred Technical Skills<ul><li>
Expert in Python</li><li>
Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn)</li><li>
Degree in Mathematics, Computer Science, Statistics, or related STEM field from top ranked University</li><li>
Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory</li><li>
Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts</li></ul>
Preferred Experience<ul><li>
Hands-on experience on predictive data-science project</li><li>
Experience working with multiple data sets and manipulating data (assessing, cleaning, creating features, etc.)</li></ul>
Highly Valued Relevant Experience<ul><li>
Extremely rigorous, critical thinker, self-motivated, detail-oriented, and able to work independently in a fast-paced environment</li><li>
Entrepreneurial mindset</li><li>
Curiosity and critical thinker</li><li>
Eagerness to learn and grow professionally</li><li>
Highly organized, eager to improve and create tools in order to increase efficiency and to scale up the research effort</li></ul></div></div></div></div></div>

2026 Quantitative Research Intern (Dubai Off Cycle)

Ventures Middle East LLC

<div>About VME:
Ventures Middle East is a leading Management Consulting Firm &amp; Digital Solutions provider, offering technology-focused project tracking and intelligence-driven consultancy. With AI-powered analytics, we deliver actionable insights to empower businesses and drive success. Our seasoned team combines regional knowledge with cutting-edge strategies to ensure organizations thrive amid complexity.
Ventures Middle East understands the complexities of todays markets, and how crucial accurate information is for both government entities and leading businesses. We tailor our approach to each project with a simple Goal: empower you to make informed decisions with confidence, unlocking new opportunities and navigating the dynamic landscape ahead.
With 20+ years in Business; 20+ Countries Covered; 1,500+ Successful Projects; 130+ Multinational Experienced Consultants; 5 Expert Lead Divisions; No.1 Construction Intelligence Platform, Ventures Middle East is a catalyst for growth, pushing the boundaries of business with a focus on results across the GCC and wider MENA region.
Main Job Responsibilities:<ul><li>
Oversees the entire research process from start to finish together with the Senior Research team.</li><li>
Design the research tools for quantitative and qualitative studies Timing, briefs (project and interviewer / moderator), moderating (in the qualitative team), desk research, screener design, questionnaire / discussion guide design, sampling, analysis plans, tab specs, data processing, report design / templates, data analysis and insights and presentations.</li><li>
Ensures research basics and disciplines are implemented and upheld, including: logic checks, checklists, task instructions, document standards and policies and procedures (P&amp;P).</li><li>
Responsible for overall quality control and all quality control documentation.</li><li>
Ensures the process runs according to deadlines and budget together with the Project Manager.</li><li>
Ensures integration of information from multiple sources where applicable and available.</li><li>
Conducts desk research to add value to all reports / presentations and assist the client in understanding the UAE and MENA market.</li><li>
Assists with research design for entire project.</li><li>
Report writing, analyzing data and presents the study results of to the client.</li><li>
Enhance and maintain client relationship by taking a proactive approach to growing knowledge of client business and environment.</li><li>
Contributor to success and develops the business unit.</li><li>
Provide advices and consultations to the clients.</li><li>
Handling clients requests and queries in professional manner.</li><li>
Monitoring the progress and budgets of projects.</li><li>
Assist senior members on ad hoc projects as assigned.</li></ul>
Minimum Qualifications:<ul><li>
Bachelors / Masters Degree.</li></ul>
Minimum Experience:<ul><li>
At least 3 to 5 years previously working as a Quantitative Researcher.</li><li>
advanced knowledge and experience in using various Microsoft applications.</li><li>
Capable of creating and delivering compelling presentations using visual aids and effective presentation techniques.</li><li>
Superior analytical and problem-solving abilities.</li><li>
Bilingual Fluency (English &amp; Arabic).</li><li>
Understanding of business development principles, strategies, and practices.</li><li>
The ability to work well within a team environment, collaborate with colleagues, and contribute to group objectives is essential for success in this role.</li></ul>
Competencies (Knowledge):<ul><li>
Communication</li><li>
Teamwork</li><li>
Accountability</li><li>
Customer Focus</li><li>
Innovation</li></ul></div>

Market Research Executive | Arabic Speaker | Dubai

Discovered MENA

<div>
 
 
 Role: Quantitative Software Engineer (C++ / Low-Latency Systems)
 
 
 
 
 Location:
 
 Dubai (on-site)
 
 
 
 
 
 
 Overview
 
 
 
 A fast-growing HFT firm is strengthening its core engineering group and is looking for a Quantitative Software Engineer to help build and optimise low-latency components used across their systematic trading teams. This position sits at the intersection of quantitative research, real-time systems, and performance-critical C++ development.
 
 
 The role is being opened to support an expanding set of trading strategies and to ensure that new models can be deployed to production with high reliability, speed, and technical rigour. You will work closely with researchers and traders to convert prototype ideas into robust, latency-sensitive software.
 
 
 
 
 
 
 What You&rsquo;ll Work On
 
 
 
 During the first year, the engineer will focus on:
 
 <ul>
 <li>
 Understanding the existing trading framework, infrastructure components, and data pipelines
 </li>
 <li>
 Improving runtime performance of active strategies through profiling, refactoring, and optimisation
 </li>
 <li>
 Converting research models into production-quality C++ implementations
 </li>
 <li>
 Designing and implementing new execution or strategy modules with strict latency constraints
 </li>
 <li>
 Taking ownership of critical code paths that affect end-to-end reaction time
 </li>
 <li>
 Streamlining the workflow between research and engineering to accelerate deployment cycles
 </li>
 </ul>
 
 
 
 
 
 Essential Technical Background
 
 
 
 
 Quantitative &amp; Algorithmic Knowledge
 
 
 <ul>
 <li>
 Strong grounding in probability, statistics, mathematical modelling, or computational problem-solving
 </li>
 <li>
 Ability to collaborate with researchers to interpret models and ensure accurate, efficient implementation
 </li>
 </ul>
 
 
 C++ Systems Engineering
 
 
 <ul>
 <li>
 Expert-level proficiency in modern C++ (17/20)
 </li>
 <li>
 Experience writing high-performance software with a focus on throughput, memory efficiency, and low latency
 </li>
 <li>
 Comfortable analysing and optimising code paths in performance-critical environments
 </li>
 </ul>
 
 
 Concurrency &amp; Multithreading
 
 
 <ul>
 <li>
 Familiarity with lock-free or low-contention data structures
 </li>
 <li>
 Ability to design concurrent systems tuned for predictable latency
 </li>
 </ul>
 
 
 Monitoring &amp; Observability
 
 
 <ul>
 <li>
 Hands-on experience with performance dashboards, metrics, and alerting (e.g., Prometheus, Grafana)
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Degree in Computer Science, Mathematics, Engineering, Physics, or a related quantitative discipline
 </li>
 </ul>
 
 
 Nice-to-Have Experience
 
 
 <ul>
 <li>
 Knowledge of market data, exchange connectivity, or electronic trading systems
 </li>
 <li>
 Scripting for automation or tooling (Python, Bash)
 </li>
 <li>
 Cloud platform exposure for research or non-latency workloads
 </li>
 <li>
 Visualisation tools or experience building dashboards for model/strategy analysis
 </li>
 <li>
 Networking fundamentals (e.g., TCP/UDP, multicast, low-latency protocols)
 </li>
 </ul>
 
 
 Ways You&rsquo;ll Collaborate
 
 
 <ul>
 <li>
 Partner with quant researchers to implement models efficiently
 </li>
 <li>
 Coordinate with traders to understand practical requirements of live strategies
 </li>
 <li>
 Work alongside senior engineers on performance tuning and architectural decisions
 </li>
 </ul>
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Proactive and comfortable tackling complex technical challenges independently
 </li>
 <li>
 Precise, detail-focused, and driven by quality
 </li>
 <li>
 Able to balance theoretical correctness with pragmatic engineering decisions
 </li>
 <li>
 Calm, constructive communicator who contributes positively under pressure
 </li>
 </ul>
 
 
</div>

Quantitative Developer

<div><div><div>Job Description</div></div><div><div><div><div>
Quantitative Developer<h1 class="jobSectionHeader">
Mid-Senior Level Quant Developer</h1>
Preferred Location: Dubai
Leading index Rebal team seeking a highly motivated and detail-oriented Quant Developer to join our team. The ideal candidate will have a strong passion for building robust trading systems and be familiar with the trading process. This role requires someone who is extremely hard-working and dedicated to achieving excellence in every aspect of their work. You will be working on our core trading engine and building out trade automations that drive the business.
Key Responsibilities<ul><li>
Core Trading Engine Development: Develop, maintain, and improve our core trading engine.</li><li>
Systematic Trade Automations: Design and implement trade automation systems to enhance trading efficiency and effectiveness.</li><li>
Collaboration: Work closely with traders, researchers, and other developers to understand requirements and deliver solutions.</li><li>
Code Review: Participate in code reviews to ensure the highest quality of code and adherence to best practices.</li><li>
Support: Provide ongoing support and troubleshooting for existing trading systems and models.</li></ul>
Required Skills and Qualifications<ul><li>
Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, Physics, Engineering, or a related field.</li><li>
Programming Proficiency: Strong programming skills in Python and must be comfortable with common dataset libraries e.g. pandas, polars, numpy, duckdb etc.</li><li>
Quantitative Skills: Solid understanding of quantitative finance and statistical methods.</li><li>
Trading Knowledge: Familiarity with the trading process and financial markets.</li><li>
System Design: Experience in designing and implementing high-performance, scalable systems.</li><li>
Problem-Solving: Excellent analytical and problem-solving skills.</li><li>
Attention to Detail: Meticulous attention to detail and a commitment to accuracy.</li><li>
Work Ethic: Demonstrated ability to work hard and manage multiple tasks simultaneously.</li><li>
Team Player: Ability to work effectively in a collaborative team environment.</li><li>
Communication Skills: Strong verbal and written communication skills.</li></ul></div></div></div></div></div>

Explore 96+ Quantitative researcher in Dubai this December. Find roles across top companies and apply now to boost your career.

96 quantitative researcher jobs IN Dubai

Quantitative Researcher

Quantitative Researcher

Quantitative Researcher (Crypto)

2026 Quantitative Research Intern (Dubai Off Cycle)

Market Research Executive | Arabic Speaker | Dubai

Quantitative Developer

Quantitative Developer