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For Companies At a Glance
- Tasks: Collect and analyse investment data, automate processes, and develop visualisation tools.
- Company: Join Meredith Brown Associates, a leader in investment operations and analytics.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team solving real-world financial challenges with innovative solutions.
- Qualifications: 1-3 years in data-intensive roles; familiarity with finance and strong quantitative skills required.
- Other info: Only successful candidates will be contacted due to high application volume.
The predicted salary is between 28800 - 48000 £ per year.
Role & Responsibilities
- Ensure data is collected and captured within the established deadlines for the assigned investment products. Examples include maintaining dealing terms of investments, updating performance, tax implications, exposures and other key data for products on an ongoing basis.
- Assume responsibility for timely upkeep of critical research data sets, including dealing terms and custom fees.
- Work with investment professionals and develop visualization tools to automate analyses currently being performed manually in spreadsheets.
- Work with the investment asset class & research operations teams to develop policy and framework for maintenance of fund data.
- Identify additional beneficial data sets, as well as process and automation improvements.
- Using visualization tools and available data sources, develop creative and rapid solutions to assist with a variety of custom and ad-hoc requests.
- Ensure the timely update into our internal systems of all key exposure data for our required fund managers.
- Work with our external providers to ensure the collection of exposure data within agreed timelines and accuracy requirements.
- Identify process improvements and collaborate with the investment professionals to ensure any data gaps are actioned.
Background & Experience
- Intellectually curious and energized by the prospect of solving business-wide operational challenges.
- 1-3 years of experience in investment operations or other high-accuracy, data intensive role.
- Familiarity with fund legal documentation, including Private Placement Memorandums and Limited Partnership Agreements preferred.
- Demonstrated interest in finance and investment data.
- Strong quantitative skills and attention to detail required.
- SQL, Python, and/or PowerBI experience is a plus.
Please note that due to the high volume of applicants responding to our adverts we are regrettably not able to feedback on all applications; only successful candidates will be contacted.
Contact Detail:
Meredith Brown Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Analytics Associate - Meredith Brown Associates
✨Tip Number 1
Familiarise yourself with the specific data analytics tools mentioned in the job description, such as SQL, Python, and PowerBI. Having hands-on experience or even completing relevant online courses can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the investment operations field. Attend industry events or join online forums to connect with people who work at Meredith Brown Associates or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in finance and investment data. Subscribe to relevant newsletters or follow thought leaders on social media. Demonstrating your knowledge of current industry developments during interviews can impress hiring managers.
✨Tip Number 4
Prepare to discuss specific examples of how you've improved processes or automated tasks in previous roles. Being able to articulate your problem-solving skills and quantitative abilities will show that you're a great fit for the Data Analytics Associate position.
We think you need these skills to ace Data & Analytics Associate - Meredith Brown Associates
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics and investment operations. Emphasise any familiarity with SQL, Python, or PowerBI, as well as your attention to detail and quantitative skills.
Craft a Compelling Cover Letter: In your cover letter, express your intellectual curiosity and enthusiasm for solving operational challenges. Mention specific examples of how you've improved processes or worked with data in previous roles.
Showcase Relevant Projects: If you have worked on projects involving data visualisation or automation, be sure to include these in your application. Describe the tools you used and the impact your work had on the organisation.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at Meredith Brown Associates
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and how you've used tools like SQL, Python, or PowerBI in previous roles. Highlight specific projects where you automated processes or improved data accuracy.
✨Demonstrate Your Curiosity
Express your enthusiasm for solving operational challenges. Share examples of how you've identified data gaps or process improvements in past positions, showcasing your proactive approach.
✨Familiarise Yourself with Fund Documentation
If you have experience with fund legal documentation, such as Private Placement Memorandums or Limited Partnership Agreements, be ready to discuss it. If not, do some research to understand these documents and their relevance to the role.
✨Prepare for Technical Questions
Expect questions that assess your technical skills, particularly in data management and visualisation. Brush up on relevant concepts and be ready to explain how you've applied them in real-world scenarios.
