At a Glance
- Tasks: Develop cutting-edge quantitative credit models and integrate new alpha signals.
- Company: Global asset manager in the heart of London with a focus on innovation.
- Benefits: Competitive salary, professional development, and opportunities for collaboration.
- Other info: Dynamic team environment with excellent career growth and cross-asset collaboration.
- Why this job: Make a real impact in finance by translating insights into actionable strategies.
- Qualifications: BSc/MSc in a quantitative field; strong skills in Python and statistics.
The predicted salary is between 60000 - 80000 € per year.
Responsibilities
- Develop quantitative credit models, including spread and default risk frameworks.
- Source, test and integrate new alpha signals across credit markets into research pipelines.
- Monitor model-generated trade ideas and disseminate outputs to investment teams.
- Produce rigorous standalone research with clear reports and presentations.
- Contribute thematic quantitative research and thought leadership across credit.
- Build and maintain the research platform and shared analytical codebase.
- Improve communication and visualisation of model outputs for portfolio teams.
- Uphold code quality, version control and systematic testing standards.
- Translate quantitative insights for Portfolio Managers, Credit Analysts, Traders and Investment Directors.
- Engage in cross-asset forums and collaborate across regions and disciplines.
- Support the internal and external profile of the quantitative research function.
- Discuss model methodology and research outputs with clients when required.
Requirements
- BSc/MSc in a quantitative discipline; strong statistics, econometrics and numerical methods.
- Proven track record building quantitative models in an investment or credit context.
- Strong Python (pandas, NumPy); SQL and Git advantageous.
- Advanced Excel; familiarity with Bloomberg or similar data platforms.
- Experience handling large, complex financial datasets.
- CFA or similar qualification a plus.
- Clear written and verbal communication of technical concepts.
- Collaborative and adaptable, comfortable working across functions and asset classes.
Quantitative Analyst - Credit, 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 engage with cutting-edge quantitative research in a vibrant financial hub. Join us to be part of a team that values your contributions and supports your growth in the fast-paced world of credit markets.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst - Credit, 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 firms you're interested in, 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 research projects. This can be a great conversation starter during interviews and helps demonstrate your expertise in building credit models and handling complex datasets.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by brushing up on your Python, SQL, and Excel skills. Work through sample problems related to credit risk and quantitative analysis to ensure you're ready to impress.
✨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 and gives you a better chance of landing that dream role.
We think you need these skills to ace Quantitative Analyst - Credit, Global Asset Manager, London - eFinancialCareers
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your quantitative skills and experience relevant to credit models. We want to see how your background aligns with the responsibilities listed in the job description, so don’t hold back on showcasing your achievements!
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 you can contribute to our team. Keep it concise but impactful, and make sure to mention any specific projects or experiences that relate to the role.
Showcase Your Technical Skills:Since this role requires strong Python and SQL skills, be sure to mention any relevant projects or experiences where you've used these tools. We love seeing practical examples of how you've applied your technical knowledge in real-world scenarios!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at eFinancialCareers
✨Know Your Models Inside Out
Make sure you can discuss the quantitative credit models you've built in detail. Be prepared to explain your methodology, the challenges you faced, and how you overcame them. This shows not only your technical skills but also your problem-solving abilities.
✨Brush Up on Your Python and SQL Skills
Since strong Python and SQL skills are crucial for this role, practice coding problems related to data manipulation and analysis. You might be asked to solve a problem on the spot, so being comfortable with libraries like pandas and NumPy will give you an edge.
✨Prepare to Communicate Clearly
You’ll need to translate complex quantitative insights into understandable concepts for various stakeholders. Practice explaining your past projects or models in simple terms, focusing on the impact they had on investment decisions. This will demonstrate your communication skills.
✨Show Your Collaborative Spirit
This role involves working across functions and asset classes, so be ready to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects or teamwork experiences that showcase your adaptability and collaborative mindset.
