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For Companies At a Glance
- Tasks: Take ownership of live portfolios and develop data-driven investment systems.
- Company: A rapidly expanding investment management firm in Oman.
- Benefits: Competitive salary, relocation support, and fast career progression.
- Why this job: Make a real impact in a dynamic, entrepreneurial environment.
- Qualifications: Strong background in quantitative finance and advanced Python skills required.
- Other info: Collaborate with top professionals and enjoy excellent growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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 highâimpact 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 subâportfolios, transitioning them to fully systematic oversight within the first three months. You will lead research, development, deployment, and ongoing management of dataâdriven investment systems, working closely with the CIO and broader investment team.
Key Responsibilities
- Take over and systematize multiple existing subâportfolios within 3 months, including signal integration, risk controls, and performance analytics.
- Lead fullâcycle development of quantimental investment systemsâfrom hypothesis and empirical testing to production deployment.
- Build modular, productionâquality Python codebases using modern analytics, ML, and statistical tools.
- Conduct research across econometrics, machine learning (RF, XGBoost, feature engineering), and regimeâbased modelling.
- Identify and manage modelling risks including lookahead bias, data leakage, overfitting, slippage, and marketâimpact effects.
- Design, test, and oversee multiâsystem, multiâregime 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 quicklyâideally 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, scikitâlearn, XGBoost, statsmodels, plotting libraries, MLOps utilities).
- Strong knowledge of backtesting frameworks, walkâforward and rollingâwindow testing, and modelâvalidation best practices.
- Practical experience managing model bias, operational risk, and researchâtoâproduction transitions.
- Equities experience preferred; strong candidates from macro, FX, fixed income, or commodities backgrounds will also be considered.
Systematic Portfolio Manager in London employer: G-NIUS | Powered by Goodman Masson
Contact Detail:
G-NIUS | Powered by Goodman Masson Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Systematic Portfolio Manager in London
â¨Network Like a Pro
Get out there and connect with people in the investment management scene. Attend industry events, join relevant online forums, and donât be shy about reaching out on LinkedIn. We all know that sometimes itâs not just what you know, but who you know!
â¨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your Python skills and experience with systematic strategies. Bring examples of your work or projects to the table. We want to see how you can take ownership and drive results!
â¨Be Ready for Technical Questions
Brush up on your knowledge of econometrics, machine learning, and portfolio management techniques. Expect some deep dives into your technical expertise during interviews. Weâre looking for candidates who can think on their feet and tackle complex problems head-on!
â¨Apply Through Our Website
Donât forget to apply directly through our website! Itâs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our growing team in Oman.
We think you need these skills to ace Systematic Portfolio Manager in London
Some tips for your application đŤĄ
Show Your Passion: When writing your application, let your enthusiasm for systematic portfolio management shine through. We want to see that youâre genuinely excited about the role and the opportunity to make an impact in a dynamic environment.
Tailor Your CV: Make sure your CV is tailored to highlight your relevant experience in quantitative research and systematic strategies. We love seeing how your background aligns with our needs, so donât be shy about showcasing your skills!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid fluff and focus on what makes you a great fit for the role.
Apply Through Our Website: Donât forget to apply through our website! Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it shows youâre serious about joining our team!
How to prepare for a job interview at G-NIUS | Powered by Goodman Masson
â¨Know Your Numbers
As a Systematic Portfolio Manager, you'll need to demonstrate your quantitative skills. Brush up on key metrics and analytics relevant to portfolio management. Be ready to discuss how you've used data-driven strategies in past roles.
â¨Showcase Your Python Skills
Since advanced Python engineering is crucial for this role, prepare to talk about specific projects where you've built modular codebases. Bring examples of your work with libraries like NumPy or scikit-learn to the table, and be ready to explain your thought process.
â¨Understand the Firm's Strategy
Research the investment management firm thoroughly. Understand their approach to systematic portfolios and be prepared to discuss how you can contribute to their goals. This shows initiative and that you're genuinely interested in the role.
â¨Prepare for Technical Questions
Expect technical questions related to econometrics, machine learning, and risk management. Brush up on common pitfalls like overfitting and data leakage. Being able to articulate these concepts will demonstrate your expertise and readiness for the role.
