At a Glance
- Tasks: Produce accurate investment data and enhance operational processes through collaboration.
- Company: Join a leading investment firm with a focus on innovation and teamwork.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Engage in a dynamic environment with strong career advancement potential.
- Why this job: Make an impact in the finance world while developing your data analysis skills.
- Qualifications: 2+ years in financial data operations; knowledge of SQL, Python, and cloud solutions.
The predicted salary is between 50000 - 70000 € per year.
This role produces timely and accurate gold copy investment data in assigned data domain focusing on operational efficiency and output quality. It executes and analyzes complex data exception reports and quality control queries, collaborating across teams to enhance operational processes. Manage static and dynamic data through cleansing, processing, and audit activities ensuring consistency, accuracy, and reliability in internal systems and third-party sources.
Core Responsibilities
- Produce timely and accurate gold copy investment data, manage competing priorities, analyze multiple inputs to meet objectives, research and analyze data exceptions with internal/external suppliers, maintain controls to ensure data integrity and approved distribution.
- Execute and analyze daily and periodical data reporting and quality control queries accurately, provide troubleshooting, ensure data feeds loaded accurately, meet service levels, and provide ongoing reporting for regulatory bodies and internal partners.
- Recognize improvement opportunities, recommend and implement solutions, perform root cause analysis and provide short- and long-term solutions, escalation as needed.
- Build strong network within Data Management community, share knowledge, engage collaboratively across teams to improve global processes.
- Develop strong knowledge of assigned funds and securities, understand operational impacts, leverage product knowledge for gold copy data production.
- Support projects through acceptance/regression testing, system monitoring, other project activities; use business knowledge to create test cases and monitoring reports for data accuracy and completeness.
- Create, maintain, and improve Data Management procedures and workflows, identify and elevate control gaps, adhere to control standards for compliance.
- Participate in special projects and perform other duties as assigned.
- Manage static and dynamic data including client account attributes, asset descriptive information, and security setup in databases.
- Coordinate maintenance of contracts, agreements, and relationships with third-party data vendors for accurate feeds.
- Undertake control and audit tasks, ensuring centralized, consistent data collection and distribution across systems.
- Gather, validate, and input critical financial data while adhering to established standards and guidelines.
Qualifications and Skills
- Minimum 2 years of experience in financial data operations or investment data management; extensive knowledge of fund data, processes, and lifecycle.
- Experience in SQL, Python and cloud solutions such as AWS.
- Experience with data vendor/platforms preferred.
- Strong skills in data quality assurance, root cause analysis, data feed monitoring, investment product knowledge, control/audit compliance, and collaboration with stakeholders.
- German speaking skills highly desirable.
- Bachelor's degree in relevant fields (Computer Science, IT, Software Engineering, Finance, Economics) or equivalent; Master’s degree or Diploma also acceptable.
Special Factors
Vanguard is not offering visa sponsorship for this position. This position is hybrid and requires office presence three days per week.
Investment Data Analyst in London employer: hackajob
Vanguard is an exceptional employer that prioritises employee growth and collaboration, making it an ideal place for an Investment Data Analyst. With a strong focus on operational efficiency and data integrity, employees benefit from a supportive work culture that encourages knowledge sharing and innovation. Located in a dynamic environment, Vanguard offers a hybrid work model that fosters flexibility while ensuring team engagement and professional development opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land Investment Data Analyst in London
✨Tip Number 1
Network like a pro! Connect with folks in the investment data space on LinkedIn or at industry events. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! If you’ve got experience with SQL, Python, or cloud solutions, make sure to highlight that in conversations. We want to see you confidently discussing your technical abilities and how they relate to the role.
✨Tip Number 3
Prepare for interviews by researching the company and its data management processes. We recommend coming up with questions that show your interest in their operations and how you can contribute to improving them.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Investment Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Investment Data Analyst role. Highlight your experience in financial data operations and any relevant skills like SQL or Python. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Data Skills:Since this role involves a lot of data management, make sure to showcase your skills in data quality assurance and root cause analysis. We love seeing examples of how you've tackled data challenges in the past!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at hackajob
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of investment data and financial operations. Understand the lifecycle of fund data and be ready to discuss how you've managed data quality assurance in your previous roles.
✨Showcase Your Technical Skills
Be prepared to talk about your experience with SQL, Python, and any cloud solutions like AWS. Have examples ready that demonstrate how you've used these tools to solve problems or improve processes in your past work.
✨Demonstrate Collaboration Skills
This role requires working across teams, so think of examples where you've successfully collaborated with others. Highlight how you’ve built strong networks within a data management community and contributed to improving global processes.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to perform root cause analysis and implement solutions. Prepare to discuss specific instances where you've identified control gaps and how you addressed them to ensure data integrity.
