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For Companies At a Glance
- Tasks: Analyse investment portfolios and ensure alignment with strategic objectives.
- Company: Join a dynamic investment management firm focused on innovative risk analytics.
- Benefits: Enjoy opportunities for personal growth, collaboration, and cutting-edge technology.
- Why this job: Be part of a proactive team driving impactful investment strategies and risk management.
- Qualifications: BSc or MSc in Engineering, Mathematics, Statistics, or related fields required.
- Other info: Experience with SQL, Python, and BI tools is a plus; entrepreneurial mindset encouraged.
The predicted salary is between 36000 - 60000 £ per year.
Miryco Consultants are working with an active investment management firm to expand their investment risk team with a quantitatively-minded and proactive professional at the Analyst level. This role will involve performing independent oversight of investment portfolios, ensuring funds are managed in alignment with strategic objectives, and providing assurance to senior management. The position requires a strong analytical background to support fund managers in maximizing portfolio returns while understanding and managing associated risks. Additionally, the role will support the development of risk analytics infrastructure within the team.
Key Responsibilities:
- Portfolio Risk Oversight: Develop and deliver reports focused on market and liquidity risk to assist in portfolio oversight.
- Technology & Infrastructure Development: Play an active role in the enhancement of risk analytics infrastructure, including database management and leveraging business intelligence tools for reporting.
- Collaboration: Work closely with the investment team to align portfolio management strategies with effective risk management practices. Collaborate with Performance Analytics teams to provide insights into portfolio performance and risk positioning.
- Innovative Analytics: Drive the development of new analytics tools that add value to portfolio management and risk oversight processes.
- Support Product Development: Assist the senior leadership in ongoing product development and provide insights for investment strategy oversight.
- Risk Monitoring & Reporting: Monitor portfolios on a daily basis to identify emerging risks, participate in investment strategy meetings, and support ad-hoc risk analysis requests from senior management and fund managers.
- Escalation & Governance: Participate in governance forums and escalate significant risk issues promptly as required.
Personal Attributes:
- Strong initiative and ownership in advancing data analytics capabilities within the team.
- Entrepreneurial mindset with a passion for growth and continuous improvement.
- Committed to personal and professional development.
- Problem-solving skills with a team-oriented approach.
- A collaborative and supportive attitude towards colleagues across the organization.
Required Skills & Experience:
- A strong academic background, ideally with a BSc or MSc in Engineering, Mathematics/Statistics, Computer Science, or a related field.
- Proven experience in developing and maintaining data infrastructures.
- Proficiency in SQL and Python for data manipulation, automation, and analysis.
- Experience with Business Intelligence (BI) tools and data visualization is a plus.
- In-depth understanding of risk modelling, including factor risk models and stress testing.
- Ability to clearly communicate complex risk modelling techniques to non-experts.
- Familiarity with platforms such as Factset is advantageous.
- Knowledge of the regulatory environment around risk oversight is beneficial.
Investment Risk Analyst employer: JR United Kingdom
Contact Detail:
JR United Kingdom 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 investment risk management. Understanding current market conditions and regulatory changes can give you an edge in discussions during interviews.
✨Tip Number 2
Network with professionals in the investment risk field. Attend industry events or webinars to connect with potential colleagues and learn more about the role and its challenges.
✨Tip Number 3
Brush up on your SQL and Python skills. Being able to demonstrate your technical proficiency in data manipulation and analysis will be crucial in showcasing your fit for the role.
✨Tip Number 4
Prepare to discuss your experience with risk modelling and analytics tools. Be ready to provide examples of how you've used these skills in previous roles to enhance portfolio management.
We think you need these skills to ace Investment Risk Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the responsibilities of an Investment Risk Analyst. Emphasise your analytical background, proficiency in SQL and Python, and any experience with risk modelling or Business Intelligence tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for investment risk management. Discuss how your academic background and previous experiences make you a suitable candidate for the role. Be sure to mention your initiative in advancing data analytics capabilities.
Highlight Relevant Projects: If you've worked on projects related to risk analysis, data infrastructure, or portfolio management, include these in your application. Describe your role, the tools you used, and the outcomes achieved to demonstrate your hands-on experience.
Showcase Soft Skills: In addition to technical skills, highlight your personal attributes such as problem-solving abilities, teamwork, and a collaborative attitude. These qualities are essential for working closely with the investment team and supporting product development.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Analytical Skills
As an Investment Risk Analyst, your analytical prowess is key. Be prepared to discuss specific examples of how you've used data analysis to inform decision-making or improve processes in previous roles.
✨Familiarise Yourself with Risk Modelling
Make sure you understand various risk modelling techniques, including factor risk models and stress testing. Be ready to explain these concepts clearly, as you may need to communicate them to non-experts during the interview.
✨Demonstrate Your Technical Proficiency
Since the role requires proficiency in SQL and Python, be prepared to discuss your experience with these tools. You might even be asked to solve a technical problem or provide examples of how you've used these languages in past projects.
✨Emphasise Collaboration and Communication
Highlight your ability to work closely with investment teams and other departments. Share examples of how you've successfully collaborated on projects, as this role involves significant teamwork and communication.
