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For Companies At a Glance
- Tasks: Collect and manage investment data, automate analyses, and improve processes.
- 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: Experience with SQL, Python, or PowerBI is a plus; only successful candidates will be contacted.
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.
Data Analytics Associate - Meredith Brown Associates employer: Meredith Brown Associates
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 give you a significant edge during interviews.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've tackled data-related challenges in previous roles. Be ready to discuss any process improvements you've implemented that led to increased efficiency.
✨Tip Number 3
Network with professionals in the investment operations field. Attend industry events or join relevant online forums to connect with others who may provide insights or even referrals for the position.
✨Tip Number 4
Research Meredith Brown Associates thoroughly. Understanding their investment products and recent developments will allow you to tailor your discussions and demonstrate genuine interest during the interview process.
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 Strong 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. Ensure that all information is accurate and that your application presents you in the best possible light.
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 or Python in previous roles. Highlight specific projects where you automated processes or improved data accuracy.
✨Demonstrate Your Attention to Detail
Since the role requires high accuracy, share examples of how you've ensured precision in your work. Discuss any methods you use to double-check your data or maintain quality control.
✨Familiarise Yourself with Financial Documentation
Brush up on fund legal documentation such as Private Placement Memorandums and Limited Partnership Agreements. Being able to discuss these documents will show your understanding of the investment landscape.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you've identified process improvements or tackled operational challenges, and be ready to explain your thought process.
