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senior financial analyst

quantitative research analyst

BtcDana Global

<div>
 
 
 Company Description
 
 
 
 BTC Dana is a leading next-generation financial brokerage firm based in Dubai, dedicated to revolutionizing the investment landscape. We offer a diverse range of over 500 CFD trading instruments, including FX, Cryptocurrencies, Commodities, and Stocks. Our user-friendly FinTech-designed platform and dedicated customer support make trading easy and enjoyable for everyone, ensuring transparency and fund safety.
 
 
 
 
 
 Role Description
 
 
 This is a full-time on-site role for a Quantitative Analyst (Risk), located in Dubai. The Quantitative Analyst will be responsible for developing and implementing quantitative models to analyze market risks, conducting statistical analysis, and supporting the trading platform's risk management strategies. Daily tasks will include data analysis, designing risk metrics, collaborating with various teams to optimize trading strategies.
 
 
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 Factor &amp; Indicator Mining: Build risk/behavioural factors from historical data (e.g., markout, VPIN), integrated with risk management.
 </li>
 <li>
 User Segmentation &amp; Profiling: Classification models for retail/professional/arbitrage/HFT clients, with risk grading to drive strategy and routing optimization.
 </li>
 <li>
 PnL Attribution: Daily profit and return attribution (fees, spread, funding, basis, slippage) pipelines and anomaly notifications.
 </li>
 <li>
 Data Pipelines (Historical/Real-time): ETL of orders, trades, positions, and funds; unified definitions of metrics and dimensions.
 </li>
 <li>
 Real-time Risk Control &amp; Alerts: Dashboards (by platform/product/account), risk order detection, anomaly detection, automated risk parameter adjustment, and circuit-breaker recommendations.
 </li>
 </ul>
 
 
 
 
 
 Core Skills:
 
 
 <ul>
 <li>
 Risk Metrics: Exposure, leverage, Greeks, hedge deviation, latency/failure rate, VaR/ES, TCA, risk factor backtesting metrics (IR, Sharpe, Max Drawdown).
 </li>
 <li>
 Machine Learning: Scikit-learn; classification/regression, anomaly &amp; change-point detection, feature engineering, model drift/calibration &amp; monitoring; familiarity with PyTorch/TF.
 </li>
 <li>
 Databases &amp; Tools: SQL/Spark/Hive/ClickHouse, data modeling/partitioning/materialized views, BI tools (FineBI/PowerBI/Tableau).
 </li>
 <li>
 Data Stream Processing: Spark/Flink, Kafka/Redpanda, Airflow/Dagster; data quality frameworks (Great Expectations).
 </li>
 <li>
 Programming: Python/Java, engineering practices (testing, logging, version control).
 </li>
 <li>
 Cloud platform: Google Cloud Platform is preferred
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or above in Computer Science, Financial Engineering, Data Science, or related fields.
 </li>
 <li>
 Familiarity with common risk control and anomaly detection algorithms (supervised/unsupervised learning, clustering, time series analysis).
 </li>
 <li>
 Prior experience in financial derivatives, leveraged trading, or FX/CFD risk management preferred.
 </li>
 <li>
 Strong risk awareness, with ability to connect models to business use cases.
 </li>
 <li>
 Strong cross-functional communication skills (collaborating with risk, trading, and development teams).
 </li>
 </ul>
</div>

Quantitative Analyst

Anson McCade

My client, a leading global hedge fund, is seeking a Senior Quantitative Researcher to join its expanding Dubai office. This is an outstanding opportunity for an experienced quant to contribute to a world-class, collaborative platform and to leverage a market-leading trading infrastructure. Key Responsibilities: Develop and implement systematic strategies in cash equities with a focus on alpha generation. Conduct research across diverse datasets to identify robust and scalable trading signals. Manage the full lifecycle of strategy development, from idea generation and backtesting to live deployment. Collaborate closely with portfolio managers, technologists, and other senior researchers in a highly collegial environment. Take direct responsibility for PnL generation and ongoing strategy optimization. Requirements: Demonstrable track record of developing and running profitable systematic cash equities strategies. Strong academic background in a quantitative discipline (e.g., mathematics, physics, statistics, computer science, financial engineering). Deep understanding of market microstructure and equities data. Expertise in statistical modeling, machine learning, or advanced quantitative research techniques. Exceptional programming skills (Python, C++, or similar). Entrepreneurial mindset with the ability to thrive in a fast-paced, collaborative, and performance-driven environment. Why Join? Access to a market-leading trading platform and world-class infrastructure. A culture that values collaboration among senior quants across global offices. Highly competitive compensation and performance-based rewards. The chance to make a significant impact in Dubai, a fast-growing hub for global trading.

Senior Quantitative Researcher - Systematic Equities

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>

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>

<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>

Value Tech Consulting

The Role
 We are seeking a dynamic and detail-oriented Financial Research Analyst to join our team in Dubai. The ideal candidate will play a critical role in analyzing financial data, market trends, and investment opportunities to support informed decision-making and contribute to our company's growth and success. Responsibilities: - Conduct comprehensive financial research and analysis to identify trends, risks, and opportunities. - Prepare detailed reports and presentations on financial data and market conditions. - Monitor economic and industry developments affecting investment strategies. - Collaborate with portfolio managers and stakeholders to provide actionable insights. - Evaluate financial statements, market reports, and company filings to support investment decisions. - Utilize quantitative methods and financial models to forecast potential outcomes and investment performance. - Maintain up-to-date knowledge of financial markets, regulations, and best practices.
 
Requirements
 <ul>
<li>Bachelor’s degree in Finance, Economics, Accounting, or a related field. - Proven experience as a Financial Research Analyst or similar role. - Strong analytical and quantitative skills with proficiency in financial modeling and data analysis tools. - Excellent understanding of financial markets, instruments, and investment strategies. - Proficient in Microsoft Excel, financial databases (e.g., Bloomberg, Reuters), and statistical software. - Good communication and presentation skills, with the ability to convey complex information clearly. - Detail-oriented with strong organizational and problem-solving abilities. - Ability to work independently and as part of a collaborative team in a fast-paced environment. - Fluency in English; knowledge of Arabic is a plus.</li>
</ul>
About the company
 Value Tech Consulting is a complete Information Technology company offering innovative technology solutions from small size to large size brands across the world.

Investment Analyst

Venture Search

<div>
 
 
 Fixed Income Analyst
 
 
 
 
 Dubai, United Arab Emirates
 
 
 
 
 
 
 A leading investment management firm is seeking a talented and driven Fixed Income Analyst to join its team in Dubai. The successful candidate will work closely with the Fixed Income Portfolio Manager to support investment research, portfolio analysis, and risk monitoring across a range of fixed income strategies. This role offers exposure to global markets and an opportunity to play a key part in the firm&rsquo;s growing fixed income platform.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Conduct fundamental credit research and financial analysis across sovereign, corporate, and structured debt issuers.
 </li>
 <li>
 Develop and maintain financial models, credit spread analysis, and scenario testing to support investment decisions.
 </li>
 <li>
 Monitor macroeconomic trends, interest rate movements, and market dynamics impacting portfolio positioning.
 </li>
 <li>
 Contribute to portfolio construction, including sector allocation, duration management, and credit selection.
 </li>
 <li>
 Prepare investment recommendations, reports, and presentations for internal committees and clients.
 </li>
 <li>
 Liaise with research providers, rating agencies, and other market participants to gather relevant insights.
 </li>
 <li>
 Support ongoing portfolio monitoring and performance attribution analysis.
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance, Economics, Accounting, or a related discipline; progress toward or completion of the CFA qualification is advantageous.
 </li>
 <li>
 2&ndash;7 years of relevant experience in fixed income research, credit analysis, or investment management.
 </li>
 <li>
 Solid understanding of fixed income instruments, valuation methods, and risk metrics.
 </li>
 <li>
 Strong analytical, quantitative, and problem-solving skills.
 </li>
 <li>
 Advanced Excel and financial modeling proficiency.
 </li>
 <li>
 Excellent communication and presentation abilities, with strong attention to detail.
 </li>
 <li>
 A proactive mindset with the ability to thrive in a fast-paced and intellectually rigorous environment.
 </li>
 </ul>
 
 
</div>

Fixed Income Analyst

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1816 quantitative research analyst jobs IN Dubai

Quantitative Analyst

Senior Quantitative Researcher - Systematic Equities

Quantitative Researcher

Quantitative Researcher

Quantitative Researcher

Investment Analyst

Fixed Income Analyst