Bitqcode Quantitative Capital — a fully automated quantitative hedge fund operating systematic trading strategies across global markets 24/7, using large-scale research, machine learning, and quantitative modeling across equities, futures, options, FX, commodities, and macro products — is seeking an exceptional Portfolio Manager in Dubai, UAE with 5+ years of proven systematic or quantitative investment management experience. You will own the complete investment lifecycle — from alpha generation and portfolio construction through production deployment, risk management, performance attribution, and continuous strategy optimization — with direct, measurable impact on fund performance across global markets.
About Bitqcode Quantitative Capital — Fully Automated Global Quant Hedge Fund
Company: Bitqcode Quantitative Capital — Quantitative Hedge Fund | Fully Automated | 24/7 Global Markets
Approach: Systematic strategies across equities, futures, options, FX, commodities, and global macro — large-scale quantitative research and machine learning-driven alpha generation
Operations: Fully automated trading strategies running continuously across global market sessions — no discretionary intervention in the trading process
Philosophy: Data-driven · Statistics-first · Risk management before return maximization · Long-term Sharpe ratio over short-term P&L
Location: Dubai, UAE — a premier global financial center for quantitative and systematic trading operations
Why This Bitqcode Portfolio Manager Role in Dubai Is a Career-Defining Opportunity
Full Ownership: Own the complete investment lifecycle — research, construction, deployment, monitoring, and optimization — with decisions that directly drive fund performance outcomes
Quant Edge: Work within a fully automated, ML-driven systematic fund at the absolute frontier of quantitative investment management — building strategies that compete with the world’s best quant operations
Dubai Advantage: Dubai is one of the world’s most attractive locations for quantitative finance professionals — world-class financial infrastructure, a diverse global talent network, and zero personal income tax
Global Markets Scope: Operate across equities, futures, options, FX, commodities, and macro — one of the broadest multi-asset scopes available to any portfolio manager globally
Position Overview
This Portfolio Manager role at Bitqcode Quantitative Capital in Dubai is a senior, high-ownership quantitative investment management position for an experienced systematic strategies professional who can independently research, develop, deploy, and manage profitable trading strategies across global markets. You will own portfolio construction across multiple asset classes, drive alpha generation through quantitative research and statistical modeling, manage the end-to-end strategy lifecycle from backtesting to production deployment, execute rigorous risk management including exposure limits, drawdown controls, and portfolio stress testing, perform detailed performance attribution, allocate capital across strategies based on performance and market conditions, collaborate with engineering teams on execution quality and research infrastructure, monitor portfolios during major macro events, conduct continuous research into new signals, datasets, and execution techniques, and mentor junior researchers and traders. This is one of the highest-ownership, highest-impact investment management roles available to a quantitative portfolio manager in Dubai’s financial market in 2026.
Why This Bitqcode Portfolio Manager Role in Dubai Is the Quantitative Finance Career Opportunity of 2026: Portfolio Managers with 5+ years of proven systematic strategy development and live deployment experience — who combine deep quantitative research capability, strong Python engineering skills, multi-asset class knowledge across futures, FX, options, and equities, and the data-driven, probability-thinking investment philosophy that rigorous systematic trading demands — are among the most rare, most sought-after, and best-compensated quantitative investment professionals in the global hedge fund market. Dubai’s tax-free environment combined with Bitqcode’s fully automated, ML-driven quant mandate makes this one of the most intellectually challenging and financially rewarding Portfolio Manager roles available in the Middle East in 2026.
What You’ll Own — Core Portfolio Manager Responsibilities
Alpha Generation — Quantitative Research & Systematic Strategy Development
- Lead alpha generation through rigorous quantitative research — developing systematic investment theses, building statistical models, identifying persistent market inefficiencies, and translating research insights into executable, production-ready trading strategies across equities, futures, options, FX, commodities, and global macro markets that genuinely outperform on a risk-adjusted basis over multi-year periods
- Own the complete research lifecycle for each strategy — from initial idea generation and hypothesis formation through data sourcing and cleaning, statistical signal development, feature engineering, backtesting, out-of-sample validation, walk-forward testing, transaction cost modeling, capacity analysis, and production deployment readiness review — ensuring that no strategy reaches live trading without a rigorous, statistically defensible evidence base
- Apply machine learning and advanced statistical techniques — time series analysis, optimization, factor modeling, and alternative data integration — to identify and extract robust, production-stable trading signals that provide genuine edge rather than backtested overfitting artifacts
- Continuously research new markets, datasets, execution techniques, and quantitative signals — maintaining a systematic research pipeline that generates and evaluates multiple new strategy candidates simultaneously to keep Bitqcode’s live strategy portfolio fresh, diverse, and competitive across changing market regimes
Portfolio Construction, Capital Allocation & Risk Management
- Own portfolio construction across multiple asset classes — balancing risk-adjusted return expectations, diversification benefits, cross-strategy correlation, capacity constraints, and capital efficiency to build a robust portfolio architecture that performs reliably across diverse market environments rather than being fragile to any single market condition or regime change
- Manage capital allocation across strategies based on live performance, realized capacity, market condition changes, and forward-looking risk assessments — applying disciplined, quantitative allocation frameworks that maximize portfolio-level Sharpe ratio rather than chasing the highest recent-period return strategies at the expense of portfolio diversification and stability
- Execute comprehensive risk management — establishing and enforcing exposure limits, drawdown controls, leverage parameters, position concentration limits, and liquidity constraints that protect fund capital and ensure strategy-level and portfolio-level risk remains within defined parameters under all foreseeable market conditions
- Conduct regular portfolio stress testing — applying historical scenario analysis, Monte Carlo simulation, and tail risk assessment to understand how the portfolio behaves under extreme market conditions and to proactively adjust positioning before macro events or identified vulnerabilities materialize into significant drawdowns
Strategy Deployment, Production Monitoring & Performance Attribution
- Manage the end-to-end strategy lifecycle from research and backtesting through production deployment and ongoing monitoring — taking personal ownership of all stages between initial research idea and live trading performance, ensuring that transitions between lifecycle stages are properly governed, thoroughly tested, and reliably documented
- Conduct rigorous performance attribution analysis — decomposing portfolio returns into their factor, alpha, timing, sizing, and cost components to identify the true drivers of performance, expose hidden vulnerabilities, detect strategy decay, and prioritize improvement efforts toward the modifications most likely to produce durable performance enhancement
- Monitor portfolios during major macro events — assessing the portfolio’s exposure profile ahead of scheduled risk events, executing pre-approved risk reduction protocols when market conditions warrant, and making evidence-based positioning adjustments that protect capital during periods of elevated uncertainty without abandoning systematic strategy logic unnecessarily
- Collaborate closely with Bitqcode’s engineering teams — providing clear specifications for execution improvements, trading infrastructure enhancements, and research tooling requirements that enable the systematic strategies to perform at their full potential in live markets
Derivatives, Market Microstructure & Execution Quality
- Apply deep understanding of derivatives across futures, options, and swaps — using this knowledge to structure quantitative strategies that exploit derivatives-specific opportunities, manage portfolio risk efficiently through derivative overlays, and optimize the cost and execution efficiency of systematic strategy deployment across derivative markets globally
- Apply strong knowledge of market microstructure, execution quality metrics, transaction costs, slippage modeling, and liquidity dynamics — ensuring that all backtested strategies account accurately for real-world execution costs and that live trading execution achieves the best available performance against defined execution benchmarks
- Apply knowledge of preferred experience with execution algorithms, FIX connectivity, and institutional trading infrastructure — working with engineering teams to ensure that Bitqcode’s execution infrastructure delivers the speed, reliability, and cost efficiency that systematic strategy performance requires across all trading venues and asset classes
Team Leadership, Mentoring & Research Culture
- Mentor junior researchers and traders — sharing quantitative research methodology, strategy development best practices, risk management principles, and the systematic investment thinking philosophy that distinguishes genuinely disciplined quantitative investment professionals from those who rely on intuition, luck, or survivorship-biased backtesting approaches
- Help establish and continuously improve Bitqcode’s investment and research best practices — contributing to the documentation, process standardization, and intellectual culture that enables a quantitative investment organization to consistently produce high-quality research and reliable strategy performance over time
The Bitqcode Investment Philosophy — How You Need to Think
Probability Over Prediction: Think in probabilities, not predictions — every market view is expressed as a calibrated probability distribution, not a binary forecast
Data-Backed Everything: Every investment thesis is supported by data, statistical evidence, and rigorous out-of-sample testing — no gut-feel, no narrative-driven positions
Risk First: Risk management comes before return maximization — protecting capital from catastrophic drawdown is the first priority; generating returns is the second
Process Over P&L: Care about repeatable, sound investment processes rather than one-off wins — long-term Sharpe ratio is the north star metric, not any single period’s return
Continuous Challenge: Continuously challenge your own assumptions, update your models when evidence demands it, and improve existing strategies rather than defending them
Qualifications & Requirements
Experience Requirements
- 5+ years of professional experience managing systematic or quantitative investment strategies at a hedge fund, proprietary trading firm, or institutional asset manager — with direct accountability for live strategy performance rather than solely research support roles
- Proven track record of building and managing live quantitative trading strategies with measurable, positive risk-adjusted performance — the most fundamental requirement for this role, with preference for candidates who can evidence this track record with specific performance data
- Experience managing multi-strategy portfolios — with demonstrated capital allocation, risk management, and portfolio construction skills across multiple simultaneous systematic strategies
- Experience across global futures, equities, FX, commodities, or options markets — with a broad asset class knowledge base that enables effective multi-asset portfolio construction
Technical Skills
- Excellent Python programming skills — able to write production-quality research and strategy code using quantitative libraries including NumPy, Pandas, SciPy, scikit-learn, and relevant backtesting frameworks
- Strong statistical and mathematical foundation — probability, optimization, time series analysis, machine learning, and factor investing methodology at a level sufficient to critically evaluate research quality and identify statistical methodology flaws
- Experience using alternative datasets and machine learning in production research — preferred capability that differentiates candidates with genuine quant edge capability
- Deep understanding of derivatives — futures, options, swaps, and leverage management — and how they are applied in systematic portfolio construction and risk management
About Quantitative Portfolio Management in Dubai 2026
Dubai has firmly established itself as one of the world’s most attractive financial centers for quantitative investment professionals — combining a highly favourable tax environment, world-class infrastructure, a genuinely international professional community, and proximity to the growth markets of the Middle East, Africa, and South Asia that institutional investors worldwide are increasingly focused on. Quantitative hedge funds and systematic trading operations have grown significantly in Dubai’s financial ecosystem over the past five years — attracted by the combination of regulatory quality, talent availability, and the strategic positioning of Dubai as a hub between Asian and European market hours that creates genuine advantages for 24/7 systematic trading operations across global asset classes. For Portfolio Managers with proven systematic strategy track records, strong Python research skills, and the rigorous, probability-based investment philosophy that genuine quantitative excellence demands, Bitqcode Quantitative Capital’s Dubai role offers one of the most professionally compelling, intellectually demanding, and financially exceptional quantitative portfolio management opportunities available in the Middle East in 2026.
Your Career Growth Path: Portfolio Manager → Senior Portfolio Manager → Head of Research → Chief Investment Officer → Managing Partner — a globally prestigious, analytically elite, and financially exceptional quantitative investment career trajectory at the cutting edge of systematic trading and machine learning-driven alpha generation in one of the world’s most dynamic and well-positioned financial centers.
Who Should Apply?
- Systematic Portfolio Managers (5+ Years): With live quant strategy track records, multi-asset portfolio construction experience, and Python research proficiency who want high-ownership, high-impact PM roles at a fully automated Dubai quant fund
- Quantitative Researchers — Strategy Ownership Track: With strong strategy development, backtesting, and production deployment experience who want to move into full portfolio manager accountability for live strategy performance and capital allocation decisions
- Prop Trading Veterans: With systematic trading strategy development and live deployment experience across futures, FX, options, or equities at proprietary trading firms who want to apply their systematic edge in a hedge fund portfolio management context in Dubai
- Multi-Strategy Fund Professionals: With experience running or supporting multi-strategy quantitative portfolios — managing the interaction, correlation, and capital allocation between concurrent systematic strategies with disciplined portfolio-level risk management
- ML-Driven Alpha Researchers: With production experience applying machine learning to generate trading signals across alternative and traditional datasets who want to own both the research and the live portfolio management of ML-driven systematic strategies
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