quantity surveyor Jobs in Dubai United Arab Emirates

quantity surveyor

data analyst Jobs in Dubai United Arab Emirates

data analyst

estimation engineer Jobs in Dubai United Arab Emirates

estimation engineer

senior data scientist Jobs in Dubai United Arab Emirates

senior data scientist

senior quantity surveyor Jobs in Dubai United Arab Emirates

senior quantity surveyor

quantitative researcher

Fuse Energy

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>

Quantitative Researcher

Millennium

<div>
 
 Mid-Senior Level Quant Developer
 
 
 
 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>

Quantitative Developer

High Street Resources

About the Opportunity: 
We are retained to hire a Head of Quantitative Research for a cutting-edge digital asset investment manager operating at the intersection of quantitative finance, AI, and automated trading.
 
Role Overview: 
This is a senior leadership role responsible for defining research strategy, building and mentoring quant teams, and delivering a consistent pipeline of deployable alpha. The role is both strategic and hands-on, with deep involvement in research, validation, and production workflows.
 
Key Responsibilities: 
<ul>
<li>Define and execute the firm’s quantitative research roadmap.</li>
<li>Lead hands-on strategy development using statistical, ML, and AI techniques.</li>
<li>Build and manage high-performing research teams.</li>
<li>Partner closely with trading, risk, and engineering.</li>
<li>Drive adoption of next-generation compute and research tooling.</li>
</ul>
Requirements: 
<ul>
<li>Advanced degree in a quantitative discipline.</li>
<li>8+ years in quantitative research with leadership exposure.</li>
<li>Strong Python expertise; additional low-latency languages a plus.</li>
<li>Experience with large-scale data, cloud infrastructure, and AI/ML.</li>
</ul>

Head of Quantitative Research

Millennium Management

<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>

About the Opportunity: 
We are hiring Portfolio Managers on behalf of a high-performing, multi-strategy digital asset hedge fund transitioning into managing external institutional capital.
 The platform offers deep liquidity, institutional infrastructure, strong risk frameworks, and significant capital allocations to successful PMs.
 
Role Overview: 
Portfolio Managers will develop, optimize, and run systematic trading strategies within crypto markets. The firm is open to both crypto-native PMs and traditional finance PMs transitioning into digital assets.
 
Key Responsibilities: 
<ul>
<li>Develop and run algorithmic trading strategies.</li>
<li>Conduct independent quantitative research.</li>
<li>Manage portfolio risk and performance.</li>
<li>Collaborate with internal research, trading, and technology teams.</li>
<li>Build and lead research teams where required.</li>
</ul>
Key Qualifications: 
<ul>
<li>1.5+ years of verifiable trading track record.</li>
<li>Strong quantitative and research background.</li>
<li>Proficiency in Python and data analysis.</li>
<li>Deep understanding of risk and portfolio construction.</li>
</ul>

Portfolio Manager

Chevron General Trading L.L.C

1. Time-Series Forecasting: Design and implement advanced machine learning models (e.g., LSTM, GRU, Transformers, or XGBoost) specifically optimized for non-stationary time-series data and stock price forecasting.2. End-to-End Pipeline Development: Build and maintain robust data pipelines for ingesting high-frequency market data, alternative data (sentiment, news), and fundamental indicators.3. Advanced Feature Engineering: Develop sophisticated features including technical indicators (RSI, MACD), volatility measures, and market microstructure signals to improve model alpha.4. Exploratory Data Analysis (EDA): Conduct deep-dive analysis to identify patterns, seasonalities, and anomalies in historical market data while accounting for &quot;look-ahead&quot; bias.5. Data Cleaning &amp; Normalization: Handle complex data issues such as missing values, stock splits, dividends, and outliers that frequently corrupt financial datasets.6. Backtesting Frameworks: Create rigorous backtesting environments to evaluate model performance, ensuring results are statistically significant and account for transaction costs and slippage.7. Model Validation &amp; Testing: Implement Walk-Forward Optimization and Cross-Validation techniques tailored for temporal data to prevent overfitting.8. Risk Management Integration: Incorporate risk metrics (Sharpe Ratio, Maximum Drawdown, Value at Risk) into the model evaluation process to ensure capital preservation.9. Deployment &amp; Monitoring: Deploy models into production environments and set up real-time monitoring to detect &quot;model drift&quot; as market regimes change.10. Stakeholder Communication: Translate complex algorithmic results into actionable insights for portfolio managers and executives, bridging the gap between data science and finance.Job Type: Full-time

Senior Data Scientist (Quantitative Finance & ML)

Etihad National

Legal Researcher<ul><li>Law Graduate</li><li>Proficient in Arabic and English</li><li>Should have minimum 5 years of experience in Law firm in UAE</li><li>Responsible to follow up hearing</li><li>Can do court registration</li><li>Know how to use Dubai system and Abu Dhabi system</li></ul>Job Types: Full-time, PermanentAbility to commute/relocate:<ul><li>Dubai: Reliably commute or planning to relocate before starting work (Required)</li></ul>Job Type: Full-timePay: AED4,000.00 - AED6,000.00 per month

Legal Researcher

Explore 70+ Quantitative researcher in Dubai United Arab Emirates this January. Find roles across top companies and apply now to boost your career.

70 quantitative researcher jobs IN Dubai United Arab Emirates

Quantitative Researcher

Quantitative Developer

Head of Quantitative Research

Quantitative Developer

Portfolio Manager

Senior Data Scientist (Quantitative Finance & ML)

Legal Researcher