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Goodman Masson Logo Goodman Masson · Finance

Systematic Portfolio Manager

United Kingdom, London · Job Posted January 10, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • 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
  • Minimum 2+ years of experience in quantitative research or systematic portfolio management within asset management, hedge funds, or proprietary trading
  • 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
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