qa/qc engineer

quantitative researcher

lecturer and researcher

market researcher

process & quality engineer

qualitative 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

<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>

Anson McCade

Our client is a renowned quantitative trading firm operating in HFT/market making, intraday and mid-frequency trading across liquid markets. The firm has offices globally, and is looking for Quantitative Researchers/Traders to join one of their teams in Hong Kong, Singapore, or Dubai.This is an excellent opportunity for Quantitative Researchers with three or more years of experience trading mean reversion models in Equities or Futures markets to leverage the firm's in-house resources/infrastructure and take ownership of their own models from signal generation to management in live trading. Successful candidates will work closely with other Quants to research, implement and monitor trading strategies.The Role:<ul><li>Supporting the buildout of a team, or joining a larger existing group as a Quant Researcher/Trader.</li><li>Involvement in all aspects of the strategy development process, from analysing datasets to identify patterns and opportunities to developing, backtesting, implementing and monitoring systematic strategies.</li><li>Working collaboratively with other quants to discuss research, improve and implement strategies, and develop tools and libraries.</li></ul>

OneBullEx

<div>OneBullEx is a crypto futures exchange startup built for speed, reliability, and innovation. Our platform delivers advanced futures trading capabilities powered by AI-driven 300 SPARTANS &mdash; automated, high-precision trading strategies designed to thrive in market chaos.

As The Innovative Market Handler and The Alchemist of Order, OneBullEx is forging structure from the volatility of the crypto markets. Our elite 300 SPARTANS stand at the frontier of algorithmic warfare &mdash; self-evolving strategies engineered to dominate market turbulence.

The market never sleeps &mdash; and neither do we.

Now, we are seeking a master strategist &mdash; a Quantitative Researcher &mdash; to join our ranks and lead the charge in building the next generation of data-driven trading intelligence.

Your Mission
<ul>
<li>We are looking for a Quantitative Researcher to explore the uncharted territories of global financial markets in search of Alpha.</li>
<li>This is where your ideas become code, and your code becomes profit.</li>
<li>You will collaborate with top-tier engineers, data scientists, and researchers to design, backtest, and deploy scalable, profitable trading systems.</li>
<li>Your genius will help us find order in chaos &mdash; uncovering signals hidden in oceans of data to fuel our relentless pursuit of performance.</li>
</ul>
What You Will Do (Your Arsenal of Impact) 
<ul>
<li>Create &amp; Destroy: Design, code, and backtest strategies that challenge the status quo &mdash; destroy the weak, refine the strong.</li>
<li>Teach the Machine: Apply cutting-edge machine learning and deep learning to extract alpha and build autonomous, evolving trading intelligence.</li>
<li>Play with Data: Dive into massive datasets, visualise unseen patterns, and turn raw chaos into structured opportunity.</li>
<li>Level Up: Continuously monitor, refine, and evolve strategies to maintain dominance in dynamic markets.</li>
<li>Collaborate &amp; Conquer: Partner with the AI Engine Development team to push the boundaries of trading research and infrastructure.</li>
</ul>
We are Looking for Someone Who
<ul>
<li>Has 3+ years of proven experience in prop trading, systematic trading, or quantitative strategy research (crypto, futures, or FX).</li>
<li>Holds a Master's degree or PhD in Computer Science, Financial Engineering, Applied Mathematics, Physics, or Economics &mdash; or equivalent real-world expertise.</li>
<li>Is obsessed with machine learning, deep learning, or reinforcement learning, and has a track record of applying them to live markets.</li>
<li>Writes code that thinks &mdash; fluent in Python, C++, Rust, or another high-performance language.</li>
<li>Possesses sharp analytical instincts and a relentless drive to uncover hidden truths in data.</li>
<li>Communicates clearly and effectively in English &mdash; because clarity is power.</li>
</ul>
This Role Is for You If
<ul>
<li>You are driven by curiosity and never stop asking &quot;Why?&quot;.</li>
<li>You thrive in the unknown, building answers where none exist.</li>
<li>You believe in team synergy over ego &mdash; and understand that genius scales through collaboration.</li>
<li>You live for the thrill of seeing your ideas move real markets.</li>
</ul>
What We Offer
<ul>
<li>Limitless Growth: Industry-leading compensation directly tied to your performance. No ceiling, only sky.</li>
<li>Total Freedom: A research-first environment &mdash; no bureaucracy, just results.</li>
<li>Elite Tools: Access to state-of-the-art infrastructure and data resources to turn your vision into reality.</li>
<li>A-Team Energy: Collaborate with world-class quants, engineers, and innovators who will challenge and elevate you.</li></ul></div>

<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>
 Develop and implement quantitative models to support hedging strategies for retail energy supply
 </li>
 <li>
 Analyze market data to optimize the performance of physical assets such as solar and wind farms
 </li>
 <li>
 Conduct statistical and scenario-based modeling to inform trading and risk management decisions
 </li>
 <li>
 Monitor power markets, pricing trends, and regulatory developments to identify risks and opportunities
 </li>
 <li>
 Collaborate with engineering and operations teams to integrate models into day-to-day decision-making
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 1+ years of experience in quantitative modeling, data analysis, or a related role in energy, trading, or analytics
 </li>
 <li>
 Strong proficiency in Python, with experience using libraries for data analysis, modeling, and visualization
 </li>
 <li>
 Solid understanding of statistical modeling, optimization, and analysis techniques
 </li>
 <li>
 Experience working with time series or market data, preferably in energy or commodities markets
 </li>
 <li>
 Strong problem-solving skills and the ability to translate complex data into actionable insights
 
 
 </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 for office based employees
 </li>
 </ul>
</div>

CLIENT OF VENTURE PLUS CONSULTANCY SERVICES LLC

The Field Supervisor oversees the execution of fieldwork for market research studies. They execute qualitative and quantitative research by recruiting, training, and managing field staff. They also follow quality control procedures, provide regular updates to clients, and ensure the final data is delivered within the agreed timeline and budget.
ROLES AND RESPONSIBILITIES:
<ul>
 <li>Carry out pilot interviews and inform the researcher and project manager on the findings.</li>
 <li>Ensure that the ground teams, interviewers, and shoppers have received adequate training on the project's materials.</li>
 <li>Inspect to ensure that sure all project documents are current and accurate according to the script.</li>
 <li>Report the field manager of any obstacles and challenges encountered during field work.</li>
 <li>managing field interviewers while monitoring their work closely and evaluating interviewers performance (quality and productivity)</li>
 <li>Assist the Field Manager in all quality check process</li>
 <li>Update the progress of the project to the field Manager and Operations Manager</li>
 <li>Conduct the interviews if required.</li>
 <li>Prepare the interviewers quota sheets (If Required)</li>
 <li>Follow up with data entry (If required)</li>
</ul>

Field Executive Supervisor

Aventus

<div>
 
 
 Junior Recruiter / Researcher &ndash; Technology Desk
 
 
 
 
 Location:
 
 Dubai, UAE
 
 
 
 
 
 Recruitment rewards the people who can handle pressure, rejection, and delayed gratification. The ones who can take feedback, learn fast, and push through when most people give up. At Aventus, you won&rsquo;t be left to figure it out &mdash; you&rsquo;ll be trained and mentored by leaders who&rsquo;ve built this business from the ground up.
 
 
 
 
 
 You&rsquo;ll be trained directly by our leadership team &mdash; recruiters who&rsquo;ve built Aventus from scratch into one of the region&rsquo;s most respected firms. We&rsquo;ll teach you how to find, qualify, and close top talent across the GCC tech market. But you&rsquo;ll have to earn it. You have to meet us half way!
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Research and source high-calibre tech professionals.
 </li>
 <li>
 Build lasting relationships.
 </li>
 <li>
 Build candidate networks and stay close to the market
 </li>
 <li>
 Learn how to sell opportunities and manage relationships
 </li>
 <li>
 Support consultants on live searches and client mandates
 </li>
 <li>
 Develop the skills needed to become a full 360 recruiter
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Need
 
 
 <ul>
 <li>
 Drive and resilience &mdash; not talk, action!
 </li>
 <li>
 Curiosity about people and how business works
 </li>
 <li>
 Coachability &mdash; you&rsquo;ll get direct training, but you must apply it
 </li>
 <li>
 Competitive edge &mdash; you want to win, and you hate losing
 </li>
 <li>
 Strong communication and attention to detail
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Get
 
 
 <ul>
 <li>
 Personal training and mentoring from senior leadership
 </li>
 <li>
 Access to world-class tools and systems.
 </li>
 <li>
 A clear path from Researcher to Consultant to Manager
 </li>
 <li>
 An environment that celebrates performance, not politics!
 </li>
 <li>
 A chance to be part of a growing Dubai success story.
 </li>
 </ul>
 
 
 
 
 We&rsquo;re not for everyone &mdash; but if this sounds like you, you&rsquo;ll fit right in.
 
</div>

Recruitment Consultant

Explore 93+ Qualitative researcher in Dubai this November. Find roles across top companies and apply now to boost your career.

93 qualitative researcher jobs IN Dubai

Quantitative Researcher

Quantitative Researcher

Quantitative Researcher

Quantitative Researcher

Quantitative Researcher

Field Executive Supervisor

Recruitment Consultant