Systematic Portfolio Manager - Relocation to Oman Location: Muscat, Oman Employer: Growing Investment Management Firm We're seeking a talented Systematic Portfolio Manager, who is open to relocating to Oman to join a rapidly expanding investment management firm. This is a high-impact role for someone who wants real ownership, fast responsibility, and the opportunity to build and run systematic portfolios in a dynamic, entrepreneurial environment. Role Overview As a Systematic Portfolio Manager, you will take immediate responsibility for several live sub-portfolios, transitioning them to fully systematic oversight within the first three months. You will lead research, development, deployment, and ongoing management of data-driven investment systems, working closely with the CIO and broader investment team. Key Responsibilities • Take over and systematize multiple existing sub-portfolios within 3 months, including signal integration, risk controls, and performance analytics. • Lead full-cycle development of quantimental investment systems-from hypothesis and empirical testing to production deployment. • Build modular, production-quality Python codebases using modern analytics, ML, and statistical tools. • Conduct research across econometrics, machine learning (RF, XGBoost, feature engineering), and regime-based modelling. • Identify and manage modelling risks including lookahead bias, data leakage, overfitting, slippage, and market-impact effects. • Design, test, and oversee multi-system, multi-regime strategies for real portfolio implementation. • Work directly with the CIO on strategy refinement, validation, and portfolio construction. • Produce and communicate regular strategy updates across digital channels (email, dashboards, WhatsApp Business, etc.). • Manage digital distribution lists, product access links, and ensure smooth communication with internal/external stakeholders. • Partner with Sales, Marketing, and Compliance to ensure materials meet brand, regulatory, and client standards. Qualifications & Experience • Strong academic background in mathematics, statistics, quantitative finance, engineering, computer science, or related fields. • Demonstrated ability to take ownership of live portfolios and deploy systematic strategies quickly-ideally with experience stepping into portfolio responsibility on tight timelines. • Minimum 2 years of experience in quantitative research or systematic portfolio management within asset management, hedge funds, or proprietary trading. Technical Skills • Advanced Python engineering skills with experience building modular, maintainable research and production systems (NumPy, pandas, scikit-learn, XGBoost, statsmodels, plotting libraries, MLOps utilities). • Strong knowledge of backtesting frameworks, walk-forward and rolling-window testing, and model-validation best practices. • Practical experience managing model bias, operational risk, and research-to-production transitions. • Equities experience preferred; strong candidates from macro, FX, fixed income, or commodities backgrounds will also be considered.