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.
- Other info: This role is based in London and offers a proactive work environment.
- 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.
The predicted salary is between 43200 - 72000 £ per year.
Our client, a leading Investment Management firm, is looking for a Financial Risk Analyst to enhance their financial and investment risk management capabilities. This role offers the opportunity to work on the development of new risk tools and insights, directly impacting business decisions and the ongoing transformation of the firm.
Key Responsibilities
- Conduct critical analysis of the discretionary investment process and performance relative to benchmarks, providing clear, actionable insights to senior stakeholders.
- Assist in the design and implementation of enhancements to risk management tools and frameworks for the firm's discretionary investment portfolios.
- Monitor and assess the impact of market conditions across key asset classes on investment performance.
- In the longer term, contribute to other aspects of financial risk management, including counterparty and liquidity risk.
Candidate Profile
The ideal candidate will have experience in cross-asset portfolio risk analysis, large data analysis, and risk modelling. You will have a proven ability to think creatively and work efficiently within a dynamic environment. You should be passionate about creating new tools and insights, with a focus on driving improvements in risk management practices.
Essential Skills and Experience
- 2+ years of relevant industry experience.
- Experience in portfolio investment risk analytics, including value-at-risk, exposures, stress testing, and risk modelling techniques (e.g., Monte Carlo).
- Advanced Excel skills (VBA macros/automation) and strong proficiency in Python.
- Exposure to key asset classes including equities, fixed income, and alternatives.
- Strong analytical and critical reasoning skills.
- Excellent verbal and written communication skills, with the ability to engage with all levels of the business.
- Familiarity with Bloomberg/FactSet and market data extraction.
- Understanding of structured products, derivatives, and FX forward instruments.
- Competitive salary and discretionary bonus.
- Comprehensive benefits package including private medical, life assurance, critical illness cover, and pension scheme.
About the Team
You will work closely with the Head of Financial Risk and a small, dynamic team focused on strategic, data-driven initiatives. The role involves high-level interaction with senior stakeholders, including the Executive Committee.
Interview Process
- Stage 1: Video interview with the Hiring Manager
- Stage 2: Interview with a Portfolio Manager
- Stage 3: In-person interview with the Hiring Manager and team
If you're passionate about financial risk management and excited to be part of a firm undergoing a major transformation, apply now to join a forward-thinking 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.
