Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to enhance risk analytics and oversee global portfolios.
- Company: Work with a leading asset manager known for its innovative approach.
- Benefits: Enjoy hybrid working options and high visibility within the business.
- Why this job: Be at the forefront of investment risk, collaborating closely with top teams.
- Qualifications: Proficiency in Python is essential; SQL, R, or MatLab experience is a plus.
- Other info: This role is based in London and offers a proactive work environment.
The predicted salary is between 43200 - 72000 £ per year.
Investment Risk Analyst
We are working with a leading investment manager seeking an Investment Risk Analyst to help enhance and evolve its financial and investment risk management capabilities.
This role offers exposure across multi-asset portfolios and the opportunity to contribute directly to the development of risk analytics, tools, and frameworks used to support investment decision-making.
The Role
You will play a key role in strengthening investment and financial risk processes across discretionary portfolios. The position requires strong cross-asset risk knowledge, the ability to analyse large and complex datasets, and a proactive, creative approach to problem-solving.
Key responsibilities include:
- Conducting critical analysis of discretionary investment performance against benchmarks
- Communicating insights, conclusions, and opportunities clearly to a range of stakeholders
- Supporting the design and implementation of enhancements to risk management tools, analytics, and associated control frameworks
- Maintaining awareness of prevailing market conditions across major asset classes and assessing their impact on portfolio performance
- Over time, gaining exposure to broader financial risk areas such as counterparty and liquidity risk
Skills, Knowledge & Experience
You will bring:
- A strong understanding of portfolio risk analytics, including value at risk, stress testing, and exposure analysis
- Knowledge of risk modelling techniques such as correlations, return distributions, and Monte Carlo simulations
- Experience in portfolio performance measurement (desirable)
- High proficiency in Excel and VBA, with strong data organisation and automation skills
- Working knowledge of Python for data analysis
- Exposure to major asset classes including equities, fixed income, and alternatives
- Familiarity with market data systems such as Bloomberg or FactSet (desirable)
- Knowledge of risk systems such as MSCI BarraOne (desirable)
- Understanding of structured products, derivatives, and FX forwards (desirable)
You will also demonstrate:
- Strong analytical and critical reasoning skills
- Excellent written and verbal communication skills, with the confidence to engage stakeholders at all levels
- The ability to manage priorities effectively within a small, collaborative team environment
Qualifications
- A numerate degree (2:1 or above)
- Approximately 3 years of relevant industry experience
- A relevant professional qualification is advantageous but not essential
This role would suit a technically capable and intellectually curious risk professional looking to deepen their exposure to investment risk within a high-quality discretionary investment environment.
#J-18808-Ljbffr
Contact Detail:
Barclay Simpson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Risk Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in market and liquidity risk. Being able to discuss current events and their potential impact on investment strategies during interviews will show your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the asset management industry, especially those working in risk analytics. Attend relevant seminars or webinars to make connections and gain insights that could give you an edge in your application.
✨Tip Number 3
Brush up on your Python skills by working on real-world projects or contributing to open-source initiatives. Demonstrating practical experience with Python can significantly enhance your profile and show your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss your understanding of risk modelling and stress testing in detail. Be ready to provide examples of how you've applied these concepts in previous roles or projects, as this will highlight your expertise and suitability for the position.
We think you need these skills to ace Investment Risk Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills prominently, as this is essential for the role. Include any relevant experience with SQL, R, or MatLab, and emphasise your understanding of risk modelling and stress testing.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the position and the company. Discuss how your proactive mindset and strong communication skills will contribute to enhancing risk analytics and infrastructure.
Showcase Relevant Experience: When detailing your previous roles, focus on experiences that demonstrate your ability to oversee market and liquidity risk. Mention any collaboration with performance and portfolio teams to highlight your teamwork skills.
Prepare for Interviews: If you get called for an interview, be ready to discuss specific examples of your work in risk analytics. Prepare to explain your approach to stress testing and how you would enhance data infrastructure in a hybrid working environment.
How to prepare for a job interview at Barclay Simpson
✨Showcase Your Python Skills
Since excellent Python skills are essential for the role, be prepared to discuss your experience with Python in detail. Consider bringing examples of projects or analyses you've completed using Python to demonstrate your proficiency.
✨Understand Risk Modelling
Make sure you have a solid grasp of risk modelling concepts, stress testing, and data infrastructure. Be ready to explain how these elements play a role in investment risk analysis and how you've applied them in previous roles.
✨Prepare for Technical Questions
Expect technical questions related to SQL, R, or MatLab, even if they are not essential. Brush up on your knowledge of these tools and be ready to discuss how you would use them in the context of risk analytics.
✨Demonstrate Proactive Communication
Given the collaborative nature of the role, highlight your proactive communication skills. Share examples of how you've effectively collaborated with performance and portfolio teams in the past, showcasing your ability to work well within a team.
