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- Tasks: Deliver precise investment data and enhance processes in a dynamic environment.
- Company: Join a leading financial services firm with a focus on innovation.
- Benefits: Hybrid work setup, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a commitment to inclusivity and career advancement.
- Why this job: Make an impact in finance while developing your skills in data management.
- Qualifications: 2+ years in financial data operations and proficiency in SQL/Python.
The predicted salary is between 50000 - 70000 £ per year.
Location: London - Wallbrook | Job Type: 12 months FTC | Work Setup: Hybrid - 3 days in the office (Tuesday to Thursday)
What You'll Do
- Deliver precise, timely gold-copy investment data for domains like client attributes, assets, and securities, upholding efficiency, integrity, and regulatory controls/standards.
- Run daily and periodic reports, quality queries, and data feeds; diagnose issues, conduct root cause analysis, and resolve/escalate exceptions with suppliers/partners to hit SLAs and compliance targets.
- Handle high-pressure deadlines and competing demands by analysing diverse inputs, executing complex tasks, and safeguarding enterprise-wide system controls and data distribution.
- Spot process enhancements, propose and deploy efficiency solutions, and perform root cause analysis for immediate and sustainable resolutions to data discrepancies.
- Foster networks in Data Management and across the enterprise; share insights, collaborate proactively, and manage third-party vendor contracts for reliable data feeds.
- Contribute to projects via testing, monitoring, and workflow development; build in-depth knowledge of funds/securities to design test cases and reports ensuring data precision.
What You Bring
- Minimum 2 years' experience in financial data operations or investment data management.
- Deep expertise in fund data, operational processes, and the complete fund lifecycle.
- Proficiency in SQL/Python and cloud solutions (AWS).
- Strong expertise in data quality assurance, root cause analysis, data feed monitoring, and investment product knowledge (e.g., via Bloomberg, Morningstar).
- Proven skills in control/audit compliance and collaborating with internal/external stakeholders.
- German language skills (highly desirable).
- Bachelor's degree (BEng/BTech) in Computer Science, IT, Software Engineering, Finance, or Economics; Master's degree or Diploma in Computer Science.
What's Next
If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more.
We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at adjustments@robertwalters.com to discuss how we can support you.
This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
Investment Data Analyst employer: Vanguard
Contact Detail:
Vanguard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Analyst
✨Network Like a Pro
Get out there and connect with folks in the investment data space! Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your SQL/Python skills and any experience with cloud solutions like AWS. We want to see how you can bring value to the team, so share specific examples of how you've tackled data discrepancies or improved processes.
✨Prepare for the Pressure
Since this role involves handling high-pressure deadlines, practice discussing how you manage competing demands. We recommend preparing some stories that showcase your ability to analyse diverse inputs and execute complex tasks under tight timelines.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re committed to creating an inclusive recruitment experience, so if you need any adjustments, just let us know!
We think you need these skills to ace Investment Data Analyst
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 investment data management and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you’ve diagnosed issues or proposed efficiency solutions. We’re keen on candidates who can handle high-pressure deadlines and think critically about data discrepancies.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Vanguard
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of investment data, especially fund data and operational processes. Be ready to discuss the complete fund lifecycle and how it relates to the role. This will show that you’re not just familiar with the concepts but can also apply them practically.
✨Show Off Your Technical Skills
Since proficiency in SQL and Python is key for this role, prepare to demonstrate your skills. You might be asked to solve a problem or analyse a dataset during the interview. Practising some coding challenges beforehand can really help you shine!
✨Prepare for High-Pressure Scenarios
Given the nature of the job, you may face questions about handling tight deadlines and competing demands. Think of specific examples from your past experience where you successfully managed such situations, highlighting your analytical skills and ability to maintain data integrity under pressure.
✨Network and Collaborate
This role involves working with various stakeholders and managing vendor contracts. Be prepared to discuss how you've fostered relationships in previous roles. Sharing insights on collaboration and communication will demonstrate your ability to work effectively within a team and across departments.