Quantitative Analyst, Risk Sharing & Structured Credit
Quantitative Analyst, Risk Sharing & Structured Credit

Quantitative Analyst, Risk Sharing & Structured Credit

Full-Time 28800 - 48000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Support investment processes and develop credit risk models in a dynamic finance environment.
  • Company: Leading asset management firm in London with a focus on innovation.
  • Benefits: Competitive salary, career growth opportunities, and a collaborative team culture.
  • Why this job: Kickstart your finance career while working on impactful risk-sharing strategies.
  • Qualifications: Strong quantitative background and proficiency in Python required.
  • Other info: Entry-level role perfect for those eager to learn and grow in finance.

The predicted salary is between 28800 - 48000 Β£ per year.

A leading asset management firm in London is looking for an Analyst for Portfolio Management focusing on Risk Sharing Strategy. The ideal candidate has a strong quantitative background, proficiency in Python, and excellent analytical skills.

Responsibilities include:

  • Supporting investment processes
  • Developing credit risk models
  • Producing analytical materials for decision-making

This full-time role is suited for someone at the entry level who is keen to build a career in finance with a balance of teamwork and independent work.

Quantitative Analyst, Risk Sharing & Structured Credit employer: Pemberton Asset Management

As a leading asset management firm in London, we pride ourselves on fostering a dynamic work culture that encourages collaboration and innovation. Our employees benefit from comprehensive training programmes, mentorship opportunities, and a supportive environment that promotes professional growth. Join us to be part of a team that values your contributions and offers a rewarding career path in the finance sector.
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Contact Detail:

Pemberton Asset Management Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Quantitative Analyst, Risk Sharing & Structured Credit

✨Tip Number 1

Network like a pro! Reach out to professionals in the finance sector, especially those working in asset management. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on that perfect role.

✨Tip Number 2

Brush up on your Python skills! Since the job requires proficiency in Python, consider working on small projects or contributing to open-source ones. This not only sharpens your skills but also gives you something tangible to discuss during interviews.

✨Tip Number 3

Prepare for case studies and technical interviews. Many firms, including asset management companies, love to see how you approach real-world problems. Practise analysing data sets and presenting your findings clearly and concisely.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities tailored for entry-level candidates like you. Plus, applying directly shows your enthusiasm and commitment to joining our team.

We think you need these skills to ace Quantitative Analyst, Risk Sharing & Structured Credit

Quantitative Analysis
Proficiency in Python
Analytical Skills
Credit Risk Modelling
Investment Process Support
Decision-Making Materials Production
Teamwork
Independent Work

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your quantitative skills and any relevant experience with Python. We want to see how your background aligns with the role, so don’t be shy about showcasing your analytical prowess!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how you can contribute to our Risk Sharing Strategy. Let us know what makes you tick in finance!

Showcase Your Analytical Skills: In your application, include examples of projects or coursework where you've used your analytical skills. We love seeing how you approach problem-solving, especially in a team setting or independently.

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 this exciting opportunity in our London office!

How to prepare for a job interview at Pemberton Asset Management

✨Brush Up on Your Quant Skills

Make sure you’re comfortable with key quantitative concepts and methodologies. Review your coursework or any relevant projects you've worked on, especially those involving credit risk models. Being able to discuss these confidently will show your strong analytical skills.

✨Show Off Your Python Proficiency

Since the role requires proficiency in Python, be prepared to discuss your experience with it. Bring examples of projects where you used Python for data analysis or modelling. If possible, practice coding problems beforehand to demonstrate your technical skills during the interview.

✨Understand the Investment Process

Familiarise yourself with the investment processes and strategies used in asset management, particularly around risk sharing. This knowledge will help you engage in meaningful discussions and show that you're genuinely interested in the role and the firm’s approach.

✨Prepare Questions for Them

Interviews are a two-way street, so think of insightful questions to ask about the team dynamics, the firm's approach to risk sharing, or how they support career development. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.

Quantitative Analyst, Risk Sharing & Structured Credit
Pemberton Asset Management
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