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For Companies At a Glance
- Tasks: Drive data analytics and automation to enhance investor communications and streamline reporting.
- Company: Join a global investor with expertise in diverse sectors and asset classes.
- Benefits: Gain valuable experience in a dynamic environment with opportunities for growth and collaboration.
- Why this job: Make a real impact on business processes while working with a collaborative team.
- Qualifications: Bachelor's degree in a relevant field and experience in data analytics, preferably in financial services.
- Other info: Strong analytical skills and proficiency in Excel, Power BI, and SQL are preferred.
The predicted salary is between 36000 - 60000 £ per year.
About our client
This is an outstanding opportunity to join a global investor with deep expertise across a range of sectors and asset classes. The team has a focus on Credit Strategies and you will play a pivotal role in shaping the team's data strategy. Your work will involve leveraging analytics to enhance investor communications, streamline reporting processes, and drive automation across key functions. You will collaborate closely with stakeholders across investor relations, investments, portfolio structuring, and finance to interpret portfolio data and deliver actionable insights. This role offers the chance to influence and improve existing processes, develop new analytical capabilities, and make a measurable impact on how the business communicates and delivers value to its stakeholders.
What the job involves
- Drive automation, data management, and analytics initiatives to improve operational efficiency and deliver meaningful insights
- Analyse and present portfolio and fund performance data to support fundraising efforts and investor servicing
- Produce performance insights for inclusion in quarterly reports, marketing materials, and bespoke investor requests
- Provide data-driven input to enhance business development materials and strategic messaging
- Conduct detailed market research and tailored analytical projects
- Collaborate with internal stakeholders to optimise data workflows and streamline reporting processes
- Lead the quantitative elements of Due Diligence Questionnaires (DDQs) for current and prospective investors
- Contribute to cross-functional projects focused on improving analytical capabilities and operational effectiveness
Who we are looking for
- Bachelor's degree in computer science, data science, information systems, statistics, or a related field
- Proven experience in data analytics or a similar role, ideally within financial services
- Strong understanding of credit fundamentals and portfolio company financials, with a strong interest in Private Credit
- Advanced proficiency in Microsoft Excel; experience with Power BI and SQL is preferred
- Strong analytical and problem-solving abilities, with excellent attention to detail
- Effective communicator with the ability to convey insights clearly to both technical and non-technical audiences
- Collaborative team player with a proven ability to build strong relationships across functions
Investor Associate - PER, Private Equity Recruitment employer: PER, Private Equity Recruitment
Contact Detail:
PER, Private Equity Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investor Associate - PER, Private Equity Recruitment
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and private equity. Understanding how these sectors are evolving will help you speak confidently about your insights during interviews.
✨Tip Number 2
Network with professionals in the private equity and financial services sectors. Attend industry events or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 3
Brush up on your technical skills, especially in Microsoft Excel, Power BI, and SQL. Being able to demonstrate your proficiency in these tools can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data analytics to drive decision-making in previous roles. Highlighting your practical experience will show your potential value to the team.
We think you need these skills to ace Investor Associate - PER, Private Equity Recruitment
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description. Understand the key responsibilities and required skills for the Investor Associate position, especially focusing on data analytics and communication.
Tailor Your CV: Customise your CV to highlight relevant experience in data analytics, financial services, and any specific tools mentioned like Microsoft Excel, Power BI, or SQL. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for private equity and your analytical skills. Mention specific examples of how you've used data to drive insights or improve processes in previous roles, demonstrating your fit for the position.
Follow Application Instructions: When you're ready to apply, ensure you follow the application process as outlined on the company's website. Double-check that all required documents are included and that your application is submitted correctly.
How to prepare for a job interview at PER, Private Equity Recruitment
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analytics in previous roles. Highlight any projects where your insights led to improved decision-making or operational efficiency, as this aligns closely with the responsibilities of the Investor Associate role.
✨Understand Credit Fundamentals
Brush up on your knowledge of credit fundamentals and portfolio company financials. Be ready to discuss how these concepts apply to the role and demonstrate your interest in Private Credit during the interview.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. Since the role requires conveying information to both technical and non-technical audiences, being able to articulate your thoughts clearly will be crucial.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration. Think of examples where you've successfully worked with cross-functional teams, as this role involves close collaboration with various stakeholders across the organisation.
