At a Glance
- Tasks: Validate and deliver benchmark data, resolve exceptions, and support fund valuation processes.
- Company: Join a leading investment management firm with a focus on high-quality data services.
- Benefits: Enjoy 40 days' leave, private healthcare, and a generous pension contribution.
- Other info: Flexible hybrid working environment with excellent career development opportunities.
- Why this job: Gain valuable experience in the investment data lifecycle while working in a collaborative team.
- Qualifications: Interest in financial data and strong analytical skills are essential.
The predicted salary is between 30000 - 40000 £ per year.
About the Department
Public Market Operations underpins Aberdeen’s investment management activities by delivering trusted, high-quality data and operational services. The team works across regions and functions, ensuring investment, benchmark, and reference data flows accurately through the organisation, supporting effective decision-making and client outcomes.
About the Role
As an Index Data Management Analyst, you will support the delivery and validation of benchmark and index data used across Aberdeen’s funds and investment processes. Based in Edinburgh, you will work with data vendors, internal systems and global stakeholders to resolve exceptions, monitor data quality and ensure timely delivery to downstream users. This role provides excellent exposure to the end‑to‑end investment data lifecycle and the opportunity to develop valuable technical and analytical skills.
Key Responsibilities
- Validate and deliver index and benchmark data to downstream systems accurately and on time.
- Investigate and resolve data exceptions and breaks.
- Support unit pricing and fund valuation processes through robust benchmark validation.
- Build effective working relationships with internal teams and external vendors.
- Contribute to continuous improvement initiatives within the index data team.
About the Candidate
- Interest or experience in index, benchmark or investment data within financial services.
- High attention to detail with an analytical and questioning mindset.
- Comfortable working with data, systems and reconciliations in a fast‑paced environment.
- Willingness to learn and develop within a collaborative, global team.
We are proud to be a Disability Confident employer. If you have a disability and would like to apply to one of our UK roles, please notify us by completing the relevant section in our candidate questionnaire. One of our team will reach out to support you through your application process.
Our Benefits
There’s more to working life than coming home with a good salary. We have an environment where you can learn, get involved and be supported. When you join us, your reward will be one of the best around. This includes 40 days’ annual leave, a 16% employer pension contribution, a discretionary performance‑based bonus (where applicable), private healthcare and a range of flexible benefits – including gym discounts, season ticket loans and access to an employee discount portal.
Index Data Management Analyst — Hybrid (Edinburgh) employer: aberdeen
Aberdeen offers a dynamic and supportive work environment for the Index Data Management Analyst role, located in the vibrant city of Edinburgh. With a strong focus on employee growth, you will benefit from extensive training opportunities, a generous benefits package including 40 days' annual leave and a 16% employer pension contribution, and a culture that values collaboration and continuous improvement. Join us to be part of a team that not only prioritises high-quality data management but also fosters a rewarding career path in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Index Data Management Analyst — Hybrid (Edinburgh)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Aberdeen. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by brushing up on your data management skills. Be ready to discuss how you've tackled data exceptions or improved processes in the past. Show us your analytical mindset!
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can leave a lasting impression and shows your enthusiasm for the role. We love seeing candidates who are genuinely interested.
✨Tip Number 4
Apply through our website for the best chance of getting noticed. It’s the easiest way for us to see your application and get you into the process. Plus, we’re always on the lookout for talent like yours!
We think you need these skills to ace Index Data Management Analyst — Hybrid (Edinburgh)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Index Data Management Analyst role. Highlight any relevant experience with index, benchmark, or investment data to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're interested in this role and how your analytical mindset and attention to detail make you a great fit for our team.
Showcase Your Technical Skills:Since this role involves working with data and systems, don’t forget to mention any technical skills you have. Whether it's data management tools or analytical software, let us know what you've got!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at aberdeen
✨Know Your Data
Make sure you brush up on your knowledge of index and benchmark data. Familiarise yourself with how these data types are used in investment processes, as well as any relevant tools or systems. This will show your genuine interest and help you answer questions confidently.
✨Show Off Your Analytical Skills
Prepare to discuss examples from your past experiences where you've had to investigate and resolve data exceptions. Highlight your attention to detail and analytical mindset, as these are key traits for the role. Use specific scenarios to illustrate your problem-solving abilities.
✨Build Relationships
Since the role involves working with internal teams and external vendors, think about how you can demonstrate your ability to build effective working relationships. Share examples of how you've collaborated with others in previous roles, and be ready to discuss how you would approach this in the new position.
✨Embrace Continuous Improvement
Be prepared to talk about your willingness to learn and contribute to continuous improvement initiatives. Think of instances where you've suggested or implemented changes that enhanced processes. This shows you're proactive and committed to making a positive impact in the team.
