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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 commitment to innovation.
- Benefits: Hybrid work setup, competitive salary, and opportunities for professional growth.
- Other info: Inclusive recruitment process with support available for all candidates.
- 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.
Investment Data Analyst in London employer: Vanguard
Contact Detail:
Vanguard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the investment data field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and Python skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable discussing your technical expertise.
✨Tip Number 3
Showcase your problem-solving skills! Be ready to discuss past experiences where you’ve tackled data discrepancies or improved processes. We want to see how you think on your feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re here to support you every step of the way in your job search journey.
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 fits 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 your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Data Skills: Since this role involves a lot of data management, make sure to showcase your expertise in data quality assurance and root cause analysis. Mention specific tools or projects where you’ve successfully handled data discrepancies.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application directly and get you on our radar quickly!
How to prepare for a job interview at Vanguard
✨Know Your Data Inside Out
As an Investment Data Analyst, you’ll be dealing with complex data sets. Make sure you brush up on your knowledge of fund data and the complete fund lifecycle. Familiarise yourself with common data discrepancies and how to resolve them, as this will show your potential employer that you’re ready to tackle real-world challenges.
✨Show Off Your Technical Skills
Proficiency in SQL and Python is a must for this role. Before the interview, practice writing queries and scripts that could help solve data issues. Be prepared to discuss your experience with cloud solutions like AWS, as well as any relevant projects where you’ve used these skills to enhance data quality or efficiency.
✨Demonstrate Your Problem-Solving Abilities
Expect questions about how you handle high-pressure situations and competing demands. Prepare examples from your past experience where you successfully diagnosed issues and conducted root cause analysis. Highlight your ability to propose and implement sustainable solutions to data discrepancies.
✨Network and Collaborate
This role requires collaboration with various stakeholders and third-party vendors. Think of examples where you’ve built relationships and shared insights in previous roles. Being able to demonstrate your teamwork skills and how you manage vendor contracts will set you apart from other candidates.