Options Quantitative Researcher

Role overview bhft is hiring an Options Quantitative Researcher in Dubai to drive improvements in trading strategies. The position centers on quantitative analysis of financial markets, with a focus on developing new approaches and refining existing models. Collaboration with the research team is a key part of the role. What you will do Design and improve trading strategies for options markets Use advanced mathematical and statistical models to interpret market data Optimize trading algorithms through quantitative research Work alongside researchers to test and validate new ideas Requirements Solid foundation in quantitative analysis, mathematics, or statistics Experience with trading algorithms or analyzing financial data Interest in finance, technology, and solving problems with data This role is located in Dubai.

Position Overview: Conduct in-depth research to develop innovative modeling techniques for portfolio optimization challenges faced by traders. Propose enhancements and modifications to existing analytical tools. Gain a robust understanding of strategic requirements for effective optimization. Typical Day of a Quantitative Researcher: Collaborate closely with traders and portfolio managers to refine and optimize their portfolio construction methodologies. Analyze various reports related to current tools and optimization challenges. Investigate new methodologies, software, and concepts to enhance our analytical frameworks.

SFORS has operated in global financial markets for over twenty years, concentrating on proprietary trading and pre-market strategies. The firm invests in trading technology and advanced risk management models, building a reputation for developing talent and maintaining a focused environment by trading exclusively with its own capital. Role overview The Risk Quantitative Analyst joins the Risk Management team in Dubai. This position centers on developing, validating, and improving market risk models. Daily work involves close collaboration with traders and risk managers to strengthen oversight of equity portfolios, with a particular focus on US markets. What you will do Work alongside traders and risk managers to create and enhance risk models Validate and refine market risk models used for equity portfolios Contribute to effective risk oversight for trading activities in US markets Work environment SFORS operates with proprietary funds, providing a dedicated and focused setting for trading and risk management.

Join our dynamic team as a Data Scientist | Quantitative Analyst at connecthum, a rapidly expanding trading firm dedicated to enhancing its research and analytical capabilities.About connecthum:Experience a quant-driven trading environment.Engage in fast decision-making cycles that have a measurable impact on P&L.Be part of a data-first culture.Help scale research throughput to expedite strategy development.In this pivotal role, you will bridge the gap between trading, data science, and strategic decision-making.Your Contributions:Establish yourself as the primary expert in trading-related analytics and dashboards.Take ownership of and enhance strategy rebalance frameworks.Conduct hypothesis testing and backtesting on trading strategies.Assess and optimize existing trading strategies.Enhance access to clean, structured, and actionable data.Develop reporting pipelines and insightful dashboards.You will gain direct visibility into trading performance and the strategic impact of your work.Technical Environment Overview:Utilize Python for production-grade analytical workflows.Engage in large-scale SQL querying and work with analytical databases.Employ data visualization and dashboard tools.Implement statistical modeling and hypothesis validation techniques.Perform time-series analysis.Your Strengths:Proficient in Python with the ability to write clean, reproducible analytical code.Confident in handling large datasets using SQL.Strong grasp of statistics and probability principles.Experience in data visualization and reporting.Demonstrates an independent and self-motivated mindset.Excellent communicator — able to translate complex data into actionable decisions.Fluent in English.Willingness to relocate to Dubai.Preferred Qualifications:Background in trading or financial domains is a plus.

Join our dynamic proprietary trading firm as a Quant Developer, where you will play a pivotal role in enhancing our ultra-low-latency infrastructure and optimizing strategy execution.This position bridges the gap between quantitative research and high-performance C++ engineering.About Us:A fast-paced, quant-driven trading environmentSpecialized in ultra-low-latency infrastructurePromotes collaborative synergy among traders, researchers, and engineersRapid strategy development supported by real-time P&L feedbackAs a dedicated engineer, you will work directly on live trading strategy code, directly influencing trading outcomes.Your Contributions:Conduct in-depth analyses of existing strategies and infrastructureRefactor and optimize our live trading systems for enhanced performanceTranslate complex quantitative models into robust, production-grade C++ codeMinimize tick-to-trade latency across essential componentsDesign and implement innovative strategies with a performance-driven approachEnhance the efficiency of research-to-production handoff pipelinesYour expertise will have a direct and significant impact on trading performance.Required Skills:Strong foundation in quantitative disciplines (mathematics, statistics, algorithms)Experience in trading or financial markets (experience in high-frequency trading is preferred)3–5+ years of experience with modern C++ (C++17/20) in high-performance systemsProficient understanding of multithreading and concurrency in programmingExperience designing low-latency architecturesStrong engineering discipline with a production-oriented mindsetPreferred Qualifications:Familiarity with networking protocols and exchange connectivityExperience with distributed systemsExposure to cloud environments for research and backtesting purposesScripting skills for tooling and diagnosticsExperience in developing monitoring or visualization toolsWhy Work Here:Flexible working hours with a focus on work-life balanceCollaborative and innovative work environment

Jobs for Humanity is hiring a Market Research Analyst in Dubai. This position centers on gathering and analyzing market data to support initiatives that benefit underrepresented communities. Role overview The Market Research Analyst will conduct in-depth market research, track trends, and interpret data to provide clear, actionable insights for stakeholders. Findings will help guide strategic decisions and shape projects aimed at creating more inclusive job opportunities. What you will do Collect and analyze market data relevant to employment and inclusion Identify trends and patterns that inform organizational strategy Present research findings and recommendations to internal teams and stakeholders Impact This role directly supports Jobs for Humanity’s mission by providing research that helps design and improve programs for underrepresented groups in the workforce.

Join our dynamic team as a Python Developer, where you'll play a crucial role in a high-energy quantitative trading setting. You will be instrumental in enhancing and scaling the backend systems that are pivotal to our core trading operations.About Us:We are a technology-driven trading firm dedicated to excellence.Our environment is characterized by high-performance and low-latency operations.We foster a robust in-house engineering culture.Our focus is on scaling backend infrastructure to meet the demands of our growing trading activities.Your Contribution:Design, develop, and maintain Python-based microservices.Create new features for our internal trading systems.Enhance connectivity with external data sources and markets.Process and route real-time trading data across internal systems.Diagnose production incidents using monitoring and logging tools.Deploy and manage services within a containerized environment.Collaborate effectively with traders, engineers, and data teams.Technical Expertise Required:Proficiency in Python, especially with async-first backend services.Experience with modern web frameworks.Familiarity with relational databases.Knowledge of containers and CI/CD pipelines.Understanding of observability and monitoring stacks.Experience with cloud-native deployments.Your Skills:4 to 5+ years of backend development experience using Python.Strong background in asynchronous programming.Proven experience in building scalable microservices.Solid understanding of database systems, preferably relational.Experience with containers and CI/CD practices.Ability to troubleshoot and debug production systems.Excellent communication skills and a collaborative approach.Preferred Qualifications:Experience with container orchestration.Familiarity with event-driven architecture.

Join our dynamic team as an Algorithmic Trader at connecthum, a rapidly expanding high-frequency trading firm engaged in the digital asset markets.About Us:Quantitative-driven trading atmosphereRobust in-house technology and automation emphasisDiverse international team collaborating across different time zonesCulture that promotes high performance and rapid feedbackOur firm utilizes systematic and algorithmic methodologies to trade effectively in digital markets.Your Role:Execute trades across various instruments in the digital marketsInnovate and enhance algorithmic trading strategiesDevelop internal tools and automation frameworksOversee risk management and portfolio executionEngage closely with developers and research teamsYou will thrive in a highly analytical and competitive atmosphere with direct influence on P&L outcomes.What We’re Looking For:Graduates from 2022–2024, preferably in STEM fieldsExceptional mental arithmetic and analytical skills1–3 years of coding experience (minimum 1 year professionally)Fundamental understanding of algorithms and data structuresFluent in EnglishWillingness to relocate to DubaiPrevious trading experience is not mandatory; a strong desire to learn and a passion for quantitative markets are more valuable.Preferred Qualifications:Involvement in academic or national competitionsStrong academic achievementsGenuine interest in algorithmic and high-frequency tradingWhy You Should Apply:Flexible working hoursRelocation assistance to DubaiAnnual team-building retreatsDirect involvement in trading outcomesRapid career advancement opportunities in quantitative trading

Job Summary:Join GluCare Integrated Diabetes Center as a Biostatistician, where your expertise will contribute significantly to our clinical research and data analytics initiatives. Collaborate with our dedicated healthcare and research teams to analyze patient data, design robust experiments, and play a pivotal role in data-driven decision-making. This position is essential for enhancing diabetes care through cutting-edge innovation and technology.Key Responsibilities:Data Analysis: Execute statistical analyses on clinical data, focusing on patient outcomes, intervention effects, and epidemiological research.Study Design: Partner with clinical researchers to design effective studies, including randomized controlled trials and observational studies, ensuring methodological rigor.Data Interpretation: Deliver insightful recommendations based on data findings and assist in interpreting statistical results.Model Development: Create and implement statistical models to aid clinical decision-making and predictive analysis.Collaboration: Engage with clinicians, researchers, and IT specialists to guarantee precise data collection, integration, and analysis.Reporting: Generate reports, visualizations, and presentations to effectively communicate statistical outcomes to clinical teams, stakeholders, and leadership.Compliance: Adhere to regulatory standards for clinical trials and research, maintaining ethical and data privacy compliance.Continuous Improvement: Assist in the development of innovative data collection and analysis tools, ensuring ongoing enhancements in data quality and usability.