Investment Risk Analyst

JR United Kingdom; City Of London; On-site; GBP 45,000 - 70,000; Full time

Job summary

A leading investment management firm seeks a proactive Investment Risk Analyst to join their growing team. The role encompasses portfolio risk oversight, analytics infrastructure development, and collaboration with investment teams. Ideal candidates will possess a strong analytical background and proficiency in SQL and Python, complemented by a relevant academic qualification.

Qualifications

• Strong academic background in relevant fields.
• Proven experience in developing data infrastructures.
• Ability to communicate complex risk modelling techniques.

Responsibilities

• Oversee portfolios ensuring alignment with strategic objectives.
• Develop reports on market and liquidity risk.
• Collaborate with investment teams on risk management.

Skills

Data Manipulation

SQL

Python

Risk Modelling

Problem Solving

Education

BSc or MSc in Engineering, Mathematics/Statistics, Computer Science

Tools

Business Intelligence tools

Data Visualization

Factset

Job description

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Investment Risk Analyst, london (city of london)

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Client:

Miryco Consultants Ltd

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

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.