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For Companies At a Glance
- Tasks: Join our Risk Management team to analyse and enhance data strategies.
- Company: A leading alternative asset manager based in London, focused on innovative investment solutions.
- Benefits: Enjoy flexible working options and a collaborative work culture with great perks.
- Why this job: Make an impact by integrating ESG data and driving strategic projects in a dynamic environment.
- Qualifications: Strong background in data science or analytics, with proficiency in Python and SQL required.
- Other info: Ideal for those passionate about Investment Risk and eager to innovate in finance.
The predicted salary is between 36000 - 60000 £ per year.
A leading alternative asset manager is looking for a Risk Data Analyst to join its Risk Management team in London. This is an exciting opportunity for an experienced data specialist to bring their technical and analytical skills to a cross-asset class investment environment. The role combines strategic data projects with hands-on analysis and a strong focus on ESG data integration.
As a Risk Data Analyst, you will help drive the firm's evolving data strategy within the Risk function. You'll support decision-making with timely and impactful data analysis, collaborating with investment and tech teams to prototype and automate data processes.
Key Responsibilities:
- Lead long-term projects that enhance how data is captured, analysed, and used across risk and investment teams.
- Conduct ad hoc analysis on portfolios and financial markets to support portfolio management.
- Build out ESG data capabilities across the firm, ensuring regulatory compliance and adding value to investment processes.
- Collaborate with IT to develop and prototype tools for data capture and automation.
- Support the enhancement of risk modelling capabilities across various asset classes.
To be considered for the role applicants must have a strong background in data science or analytics, ideally within a financial institution. Candidates must have experience within a Risk function or a strong understanding passion when it comes to Investment Risk. Proficiency in Python and SQL is a must.
Risk Data Analyst employer: Attribution Search
Contact Detail:
Attribution Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in ESG data integration. Understanding how environmental, social, and governance factors impact investment decisions will set you apart from other candidates.
✨Tip Number 2
Brush up on your Python and SQL skills by working on relevant projects or online courses. Being able to demonstrate your technical proficiency through practical examples can significantly boost your chances.
✨Tip Number 3
Network with professionals in the risk management and data analytics fields. Attend industry events or join online forums to connect with people who can provide insights and potentially refer you to opportunities.
✨Tip Number 4
Stay updated on regulatory changes affecting the financial sector. Showing that you are knowledgeable about compliance issues related to risk management can demonstrate your commitment and expertise in the field.
We think you need these skills to ace Risk Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science or analytics, particularly within a financial institution. Emphasise your proficiency in Python and SQL, as well as any relevant projects that showcase your analytical skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for investment risk and ESG data integration. Mention specific examples of how you've contributed to data strategy or analysis in previous roles, and explain why you're excited about this opportunity.
Highlight Relevant Skills: Clearly outline your technical skills related to data analysis, including any tools or methodologies you are familiar with. Discuss your experience with risk modelling and how it relates to the responsibilities of the Risk Data Analyst role.
Showcase Collaboration Experience: Since the role involves collaboration with investment and tech teams, include examples of past teamwork experiences. Highlight any projects where you worked cross-functionally to achieve a common goal, especially in data capture and automation.
How to prepare for a job interview at Attribution Search
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've used these skills, as this will demonstrate your technical expertise and relevance to the role.
✨Understand ESG Data Integration
Since the role focuses on ESG data capabilities, brush up on your knowledge of environmental, social, and governance factors. Be ready to discuss how you can contribute to enhancing ESG data integration within the firm.
✨Prepare for Analytical Challenges
Expect to face analytical challenges or case studies during the interview. Practise solving problems related to portfolio management and risk analysis, as this will showcase your analytical thinking and problem-solving abilities.
✨Demonstrate Collaboration Skills
The role involves working closely with investment and tech teams. Prepare examples of past experiences where you've successfully collaborated with cross-functional teams, as this will illustrate your ability to work effectively in a team-oriented environment.
