At a Glance
- Tasks: Develop and calibrate quantitative macro models for rates, FX, and commodities.
- Company: Global asset manager based in London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative culture with opportunities to present findings to key stakeholders.
- Why this job: Join a team that shapes investment strategies using cutting-edge quantitative analysis.
- Qualifications: Degree in a quantitative field; experience with systematic investment models required.
The predicted salary is between 60000 - 80000 € per year.
Responsibilities
- Develop and calibrate quantitative macro models spanning rates, FX and commodities.
- Identify, test and incorporate new signals and alternative datasets into systematic frameworks.
- Track model-driven trade ideas and circulate insights promptly to investment stakeholders.
- Produce rigorous research notes and presentations on standalone projects and thematic macro views.
- Design, extend and support the team’s research infrastructure and shared codebase.
- Enhance dissemination and visualisation of model outputs and performance.
- Enforce sound engineering standards: version control, documentation and testing.
- Present findings and model behaviour to Portfolio Managers, Strategists and Trading.
- Collaborate across assets and time zones; help position the quant function internally and externally.
- Participate in selected client interactions and research briefings.
Requirements
- Degree (BSc/MSc) in a quantitative discipline with strong statistics, econometrics and mathematical methods.
- Hands-on experience building systematic investment models in macro or multi-asset settings.
- Advanced Python (pandas, NumPy); SQL and Git exposure advantageous.
- Proficient with Excel; familiarity with Bloomberg or similar market data terminals preferred.
- Skilled at handling and interrogating large-scale financial datasets.
- CFA or comparable market-facing qualification is a plus.
- Clear communicator able to translate quantitative concepts to varied audiences.
- Team-focused, effective working with investment and technology counterparts.
Quantitative Analyst - Systematic Macro, Global Asset Manager, London - eFinancialCareers employer: eFinancialCareers
As a leading global asset manager based in London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from extensive professional development opportunities, competitive compensation packages, and the chance to work with cutting-edge quantitative models in a vibrant financial hub. Join us to be part of a team that values your insights and empowers you to make a meaningful impact in the world of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst - Systematic Macro, Global Asset Manager, London - eFinancialCareers
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative analysis space. Use platforms like LinkedIn to connect with people who work at your target companies, and don’t be shy about asking for informational interviews.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and analyses. This could be a GitHub repository or a personal website where you can demonstrate your coding prowess and analytical thinking.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Apply through our website! We often have exclusive job listings that might not be found elsewhere. Plus, it shows your genuine interest in joining our team, which can give you an edge over other candidates.
We think you need these skills to ace Quantitative Analyst - Systematic Macro, Global Asset Manager, London - eFinancialCareers
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your quantitative skills, especially in Python and data handling, as these are key for us at StudySmarter.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative analysis and how your background aligns with our needs. Be sure to mention any relevant projects or experiences.
Showcase Your Projects:If you've worked on any systematic investment models or similar projects, don’t hold back! Include links or descriptions of your work to give us a taste of what you can bring to the table.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at eFinancialCareers
✨Know Your Models Inside Out
Make sure you can discuss the quantitative macro models you've developed in detail. Be prepared to explain your thought process, the data you used, and how you calibrated them. This shows your depth of knowledge and hands-on experience.
✨Brush Up on Your Python Skills
Since advanced Python skills are crucial for this role, practice coding problems related to data manipulation using pandas and NumPy. You might be asked to solve a problem on the spot, so being comfortable with these libraries will give you an edge.
✨Prepare to Present Your Findings
You’ll likely need to present your research notes and model behaviour to various stakeholders. Create a few mock presentations to practice translating complex quantitative concepts into clear, understandable insights for different audiences.
✨Show Your Team Spirit
Collaboration is key in this role, so be ready to share examples of how you've worked effectively with others in the past. Highlight any experiences where you’ve partnered with investment or technology teams to achieve a common goal.
