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quantitative analyst developer

Qube Research & Technologies

Your future role within QRT: 
As a Quantitative Developer, you'll work in a close-knit global team of Multi-Asset Quant Developers and Researchers. Working directly with Researchers and Portfolio Managers, you'll enhance our research platform to meet the needs of a constantly evolving environment. You will have a large impact on the success of the team by recommending innovative software solutions - solving problems by building new tools and systems.
 Responsibilities 
<ul>
<li>Automate and streamline data preparation and cleaning</li>
<li>Build and support new quantitative trading framework</li>
<li>Industrialize trading strategies developed by quant researchers</li>
<li>Drive "best practice" amongst the researchers and portfolio managers</li>
<li>Continually expand and upgrade the team s software platform to accommodate the changing business needs</li>
</ul>
 Your present skillset: 
<ul>
<li>3-8 years of experience as a software engineer</li>
<li>Python language experience is a must</li>
<li>Ability to multitask, set project priorities and work in a team</li>
<li>Strong communication skills is a must</li>
<li>Ability to work in a fast-paced environment</li>
<li>Very high standards in code quality and good development practices</li>
<li>Experience in finance and/or machine learning would be beneficial</li>
</ul>

Quantitative Developer - Python

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

Trade W

<div>
 
 
 Company Description
 
 
 
 Trade W is a leading multi-asset trading platform with over seven years of industry experience, providing global users with secure, convenient, and efficient access to the financial markets.
 
 
 
 
 
 Role Description
 
 
 This is a full-time on-site role for a Quantitative
 
 Developer
 
 , located in Dubai.
 
 
 
 
 
 Responsibilities
 
 
 Market-Making Optimization &amp; Execution
 
 <ul>
 <li>
 Implement quoting logic, inventory targets, dynamic spreads, passive/active switching, and hedge intensity.
 </li>
 <li>
 Link toxicity/mark-out (e.g., VPIN/Kyle &lambda;) to spreads and hedging.
 </li>
 <li>
 Build multi-LP / cross-exchange routing and cost-aware execution
 </li>
 </ul>
 
 Strategy Research &amp; Signal Development
 
 <ul>
 <li>
 Formulate testable hypotheses for MM/stat-arb/funding-basis/order-book/flow-toxicity signals.
 </li>
 <li>
 Engineer features (L1/L2, imbalance, mark-out, volatility, liquidity/impact) and produce evidence-based research notes.
 </li>
 <li>
 Translate findings into parameterized rules and production-ready configs.
 </li>
 </ul>
 
 Backtesting &amp; Performance Evaluation
 
 <ul>
 <li>
 Build trustworthy back tests with cost/slippage/latency/partial-fill modeling and venue-specific constraints.
 </li>
 <li>
 Run walk-forward/rolling validation, capacity &amp; turnover analysis, and P&amp;L attribution (spread, fees, carry/basis, slippage).
 </li>
 <li>
 Perform stress/scenario tests; track Sharpe/IR, max DD, VaR/ES; run ablations to verify signal credibility.
 </li>
 </ul>
 
 Trading Data Analysis &amp; Live Iteration
 
 <ul>
 <li>
 Analyze orders/trades/positions for mark-out, adverse selection, TCA, and market-quality KPIs.
 </li>
 <li>
 Segment users (retail/pro/arb/HFT) to inform MM parameters and routing.
 </li>
 <li>
 Maintain daily dashboards &amp; alerts; monitor backtest&harr;live drift and close gaps quickly.
 </li>
 <li>
 Run parameter/signal A/B experiments; publish concise weekly updates and quarterly roadmaps.
 </li>
 <li>
 Keep runbooks for events/new listings (risk bands, spreads, leverage) and coordinate rollouts with Dev/Risk.
 </li>
 </ul>
 
 Framework &amp; Systems
 
 <ul>
 <li>
 Design an end-to-end framework where research = backtest = simulation = production (unified data, cost/latency models, parameterized configs, experiment tracking, auto-reports).
 </li>
 <li>
 Real-time risk monitoring: inventory/exposure/leverage/hedge deviation/latency/failure-rate with anomaly detection, circuit-breakers, grade-down, and auto-recovery.
 </li>
 </ul>
 
 
 
 
 Must-have
 
 <ul>
 <li>
 Languages:
 
 C++
 
 </li>
 <li>
 Financial modeling &amp; statistics (probability/time-series, microstructure awareness); comfort with perps/futures, funding &amp; basis.
 </li>
 <li>
 Data analysis: Python (pandas/numpy/numba/asyncio/statsmodels/scikit-learn) and strong SQL; careful EDA and reproducible notebooks.
 </li>
 <li>
 Backtesting discipline: cost/impact modeling, leakage controls, validation hygiene.
 </li>
 <li>
 Engineering mindset: clean code, testing, ability to convert research into robust production rules/services.
 </li>
 <li>
 Clear communication: crisp writing, explicit assumptions, defensible conclusions for business/risk stakeholders.
 </li>
 <li>
 2-8 years of experience
 </li>
 </ul>
 
 
 
 
 Tech Stack (reference)
 
 <ul>
 <li>
 Languages: C++, Java, Python, SQL
 </li>
 <li>
 Data: PostgreSQL, ClickHouse, kdb+
 </li>
 <li>
 Analysis/Modeling: NumPy, pandas, statsmodels, scikit-learn, PyTorch/TensorFlow, cvxpy, QuantLib, arch
 </li>
 <li>
 Backtesting: vectorbt, backtrader, zipline
 </li>
 <li>
 Visualization: Matplotlib, Seaborn, Plotly, Tableau/PowerBI
 </li>
 <li>
 Workflow: Jupyter, Airflow/Dagste, Git
 </li>
 <li>
 Crypto(Optional): web3.py/ethers/solana-py, Dune/Flipside, Safe/Fireblocks
 </li>
 </ul>
 
 
 
 
 Nice-to-have
 
 <ul>
 <li>
 Order-book microstructure, MM/inventory control; toxicity metrics (mark-out/VPIN/Kyle &lambda;).
 </li>
 <li>
 ClickHouse/PostgreSQL, materialized views, high-throughput writes/queries; dashboards (Metabase/Superset/Plotly); experiment/version tracking.
 </li>
 <li>
 Streaming &amp; orchestration: Kafka/Redpanda, Flink or Spark Streaming, Airflow/Dagster; data quality (e.g., Great Expectations).
 </li>
 <li>
 Systems &amp; deployment: Linux, Docker/K8s, Prometheus/Grafana, GitHub Actions, observability/traceability.
 </li>
 <li>
 Production MM or cross-exchange arb track record; FIX/REST/WebSocket integrations (Binance/OKX/Bybit, etc.).
 </li>
 <li>
 Low-latency optimization (zero-copy, lock-free queues, batch I/O, kernel/network tuning).
 </li>
 <li>
 DEX/on-chain analytics (Dune/The Graph; web3.py/ethers/solana-py)
 </li>
 </ul>
</div>

Quantitative Developer (C++)

Universis Capital Partner

C++ Quant Developer Engineer technology - trading developer / hybrid / full time 
Who are we looking for: C++ Quant Developer Engineer We are looking for a talented quant developer engineer to create secure and functional code. You will provide quality coding solutions for both simple applications and complex information or systems. The candidate must have a passion for technology and code creation. Attention to detail and an analytical mind are essential qualities for a successful application. Design and build superior and innovative software by writing clean and flawless code. The objective is to work directly with our team of traders, engineers, analysts and data scientists to develop our trading algorithmic infrastructure, including; development and creation of trading algorithms, bringing new functionality, integration of third party APIs, integration of new liquidity sources, enhancements to current infrastructure, structuring of financial systems, with a special focus on developing low latency trading systems. The ideal candidate would be passionate about algorithmic and crypto trading, specialized in building low level systems. With knowledge in algorithmic trading based on Data Mining, Big data, Quants, Machine Learning, with predictive and risk management capabilities to implement high frequency and low latency systems, HFT, Market Making, arbitrage systems.
 Responsibilities: <ul> <li>Programming and implementation of commercial algorithms.</li> <li>Collaborate with business analysts and quants to produce algorithm designs and improve agility and execution of strategies.</li> <li>Develop advanced tick-by-tick backtesting simulation systems to enable rapid strategy prototyping and improved research accuracy.</li> <li>Increase performance management by improving risk, quantification.</li> <li>Interact directly with the business or provide support to the commercial, development and operational teams, supervising to implement changes, technological improvements and solve incidents or problems.</li> <li>Transform designs and specifications into high performance code in the appropriate language, creating high quality code with technical documentation.</li> <li>Integrate individual code solutions into higher-level systems. Work to ensure high performance, security and scalability of business applications.</li> <li>Monitor periodically to ensure that it produces the desired results and perform debugging when necessary.</li> <li>Performing upgrades to make code and systems more secure and efficient. Participating in product quality control.</li> <li>Collaborate in the development of our ultra-low latency commercial platform.</li> <li>Integraci n de las API con terceros; intercambios, bancos y corredores entre otros.</li> <li>Design, development and improvement of main libraries.</li> <li>Collaborate with other teams, including; strategy reviews, code and common programming advice.</li> </ul>
 Requirements: <ul> <li>Bachelor's degree in Computer Science, Computer Science or similar.</li> <li>Strong programming skills in C++, Java, XML, Python.</li> <li>Excellent knowledge with relational databases, MySQL, Mongo, Influx technologies.</li> <li>An analytical and problem-solving mindset.</li> <li>Demonstrable ability to discover and correct bugs in code.</li> <li>Ability to work independently, but in a collaborative team environment.</li> <li>Deep curiosity about financial trading and the digital blockchain ecosystem.</li> <li>Entrepreneurial mindset, persistent and disciplined with a high degree of motivation and involvement.</li> <li>High level of English, fluent oral and written communication.</li> </ul>
 Experience: <ul> <li>More than 2 years of proven experience as a C++ programmer.</li> <li>Experience in developing financial algorithms, with predictive analytics and risk control.</li> <li>Experience with AWS, Google Cloud, Linux.</li> <li>Experience in the financial sector: algorithmic developer, High Frequency Trading, Derivatives Trading, Options trading.</li> </ul>
 Other required skills: <ul> <li>Data Mining, Big data, Quants, Machine Learning, HFT, Market Making, Pure and cross, Arbitrage of different modalities.</li></ul>

C++ Quant Developer Engineer

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

Stree Group

<div>The Real Estate Analyst at STREE Real Estate will be responsible for analyzing market trends, compiling market data, and preparing financial analyses for properties and portfolios. Your insights will guide investment and development decisions.</div> <div> Responsibilities: <ul> <li>Perform financial analysis and valuation of real estate investments.</li> <li>Prepare market analysis reports and identify market trends.</li> <li>Analyze property leases and rent rolls and assess the financial impact.</li> <li>Support the due diligence process for new property acquisitions.</li> </ul> Qualifications: <ul> <li>Bachelor's degree in Real Estate, Finance, Economics, or related field.</li> <li>Proven analytical skills and experience in real estate analysis.</li> <li>Strong quantitative and financial modeling skills.</li> <li>Excellent attention to detail and accuracy.</li> </ul></div>

Real Estate Analyst

Client of Ladwig Consulting

Responsibilities:<ul><li>Build and maintain structured datasets of price, volume, and position data.</li><li>Run strategy backtests in coordination with the Algo Developer.</li><li>Develop dashboards for tracking trade performance (ROI, drawdown, Sharpe ratio, win rate, etc.).</li><li>Conduct detailed post-trade analysis and generate weekly insights reports.</li><li>Support data automation and visualization pipelines (Power BI / Streamlit / Dash).</li></ul>Requirements<ul><li>Strong experience with Python (pandas, NumPy) and SQL.</li><li>Understanding of backtesting frameworks or strategy simulation.</li><li>Strong analytical and visualization capabilities.</li><li>Experience in trading, quantitative research, or financial analytics preferred.</li></ul>Benefits<ul><li>Opportunity to work in a dynamic environment.</li><li>Be part of a high-performing team.</li><li>Competitive salary with excellent growth opportunities.</li></ul>

Data Analyst (Trading Metrics & Backtesting Support)

Explore 866+ Quantitative analyst developer in Dubai this October. Find roles across top companies and apply now to boost your career.