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- Tasks: Join us as an ETF Operations Data Analyst, ensuring accurate fund data and supporting our ETF offerings.
- Company: First Trust Global Portfolios is a leading financial services firm focused on innovative investment strategies.
- Benefits: Enjoy a full-time role with opportunities for growth, collaboration, and skill development in a dynamic environment.
- Why this job: Be part of a fast-growing ETF provider, making an impact through data-driven insights and teamwork.
- Qualifications: A finance or data analytics degree, strong Excel skills, and 2 years of relevant experience are required.
- Other info: Ideal for those passionate about finance, data management, and eager to learn new technologies.
The predicted salary is between 36000 - 60000 £ per year.
First Trust Global Portfolios (FTGP) is a privately owned financial services firm established in 1991. With core principles focused on transparency, innovative solutions, long-term investment, and disciplined portfolios, FTGP specializes in providing rules-based, thematic, and actively managed strategies in equities, fixed income, and alternatives. Our regional sales teams work closely with clients to distribute a range of single-country, regional, and global solutions across the world. First Trust is currently one of the fastest growing ETF providers globally.
This is a full-time on-site role of an ETF Operations Data Analyst at First Trust Global Portfolios in London. As an ETF Operations Data Analyst, you will be responsible for:
- Working closely with distribution platform partners to maintain accurate fund data in line with regulatory reporting requirements for both existing ETFs and new launches.
- Monitoring the accuracy of fund data across platforms and facilitating the smooth operation of our ETF product offerings.
- Developing custom reporting solutions using tools such as Excel and Power BI to provide management with valuable insights for decision-making.
- Collaborating with teams across sales, marketing, legal, and portfolio management to support on automation and reporting projects.
- Monitoring and responding to ad-hoc client data requests.
Qualifications
- Bachelor's degree or higher in a finance-related or data analytics field.
- Proven ability to aggregate and manage data from multiple sources with strong data management expertise.
- Proficiency in Excel, with experience in data analysis and visualization tools such as SQL and Power BI, along with a solid understanding of databases and programming languages is essential.
- Strong communication, analytical thinking, and problem-solving skills.
- Ability to work collaboratively in a team environment and handle multiple priorities simultaneously.
- Willingness to explore and adopt new technologies to enhance operational efficiency.
- Knowledge of ETFs, capital markets, and the investment management industry and their instruments is a plus.
- A background in consulting or professional services is also desirable.
- 2 years experience in similar role.
Contact Detail:
First Trust Global Portfolios Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ETF Data Operations Analyst
✨Tip Number 1
Familiarise yourself with the ETF landscape and current market trends. Understanding the nuances of ETFs and how they operate will give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your Excel and Power BI skills. Since the role involves developing custom reporting solutions, showcasing your proficiency in these tools can significantly boost your chances.
✨Tip Number 3
Network with professionals in the finance and data analytics sectors. Engaging with industry peers can provide insights into the role and may even lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with data management and analysis. Be ready to share specific examples of how you've aggregated and managed data in previous roles, as this is crucial for the position.
We think you need these skills to ace ETF Data Operations Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management and analysis, particularly in finance or related fields. Emphasise your proficiency in Excel, SQL, and Power BI, as well as any experience with ETFs or capital markets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of First Trust Global Portfolios and the ETF industry. Mention specific skills that align with the job description, such as your analytical thinking and problem-solving abilities, and how they can contribute to the team.
Showcase Relevant Projects: If you have worked on projects involving data analysis or reporting solutions, include these in your application. Describe your role, the tools you used, and the impact of your work, especially if it relates to financial services or operational efficiency.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects attention to detail, which is crucial for the role of an ETF Operations Data Analyst.
How to prepare for a job interview at First Trust Global Portfolios
✨Showcase Your Data Skills
As an ETF Data Operations Analyst, your proficiency in Excel, SQL, and Power BI is crucial. Be prepared to discuss specific examples of how you've used these tools to analyse data or create reports in previous roles.
✨Understand the ETF Landscape
Familiarise yourself with ETFs, capital markets, and investment management. Demonstrating knowledge about the industry will show your genuine interest and help you stand out during the interview.
✨Highlight Collaboration Experience
This role requires working closely with various teams. Share examples of past experiences where you successfully collaborated with different departments, showcasing your teamwork and communication skills.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Prepare scenarios where you faced challenges in data management or reporting, and explain how you approached and resolved them.
