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- Tasks: Support data creation and maintenance for securities, funds, and benchmarks using advanced systems.
- Company: Join BlueBay Asset Management, a leader in the financial sector based in London.
- Benefits: Enjoy competitive pay, bonuses, flexible benefits, and world-class training opportunities.
- Other info: Work four days on-site in a collaborative environment with excellent career growth potential.
- Why this job: Make a real impact in finance while working with top professionals in a dynamic team.
- Qualifications: Must have Excel, Python skills, and experience in financial institutions; AI tools knowledge is a plus.
The predicted salary is between 50000 - 70000 ÂŁ per year.
You will be supporting the creation and maintenance of security, fund, broker, benchmark, and other reference data in systems such as IVP Security Master, Simcorp Dimension, Charles River, and Wall Street Office. You will also improve data quality through the implementation of process improvements, support the daily pricing of bonds, derivatives, equities, and loans, and manage exceptions within IVP Price Master while verifying values using Bloomberg, Pricing Direct, ICE Data Services, Refinitiv, and S&P.
This is a permanent, full‑time role that requires four days on‑site at our 100 Bishopsgate, London office.
Responsibilities- Actively resolve pricing and reference data issues and investigate root causes.
- Help identify new control points and demonstrate awareness of potential operational risk.
- Analyze large data sets using MS Excel, VBA, SQL, and Python.
- Engage internal teams to ensure new initiatives are implemented and data flows and translations are correct.
- Maintain relationships with internal stakeholders such as Investment Desks, IT, Risk, Fund Accounting, and the Performance team.
- Take full ownership of system upgrades, enhancements, and potential regulatory breaches.
- Ensure that systems provide timely, accurate, and complete information to staff and clients.
- Contribute to weekly updates for senior management.
- Proactively deliver projects using own initiative.
- Provide occasional after‑hours coverage to support US‑based colleagues on holiday.
- Proficiency in Excel and data analysis techniques (must‑have).
- Prior experience working within a financial institution (must‑have).
- Strong ability to convey complex ideas clearly and effectively (must‑have).
- Proficiency in Python programming (must‑have).
- Demonstrable experience in applying generative AI tools and techniques (must‑have).
- A degree in a STEM or Finance‑related field (nice‑to‑have).
- Basic understanding of SQL for data querying (nice‑to‑have).
- Familiarity with security mastering systems (nice‑to‑have).
- A comprehensive Total Rewards Programme including bonuses, flexible benefits, and competitive compensation.
- Leadership support through coaching and development opportunities.
- Opportunities to work with top professionals in the field.
- Ability to make a lasting impact and contribute to community and client success.
- Dynamic, collaborative, progressive, and high‑performing team environment.
- A world‑class training programme in financial services.
Data Analyst - Pricing and Reference Data, BlueBay Asset Management, (London) employer: RBC
Contact Detail:
RBC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Pricing and Reference Data, BlueBay Asset Management, (London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at BlueBay Asset Management. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got experience with Excel, Python, or any of the tools mentioned, be ready to discuss specific projects where you used them. Real examples make you stand out!
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of pricing and reference data. Understand the common challenges in the field and think about how you can contribute to solving them.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Data Analyst - Pricing and Reference Data, BlueBay Asset Management, (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Excel, Python, and any financial institution work you've done. We want to see how your skills match 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 data analysis and how you can contribute to our team at BlueBay. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL and any experience with generative AI tools. We’re keen on seeing how you’ve used these skills in real-world scenarios, so give us some examples!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at RBC
✨Know Your Data Tools
Make sure you brush up on your skills with Excel, Python, and SQL before the interview. Be ready to discuss how you've used these tools in past roles, especially in data analysis and problem-solving.
✨Understand the Financial Landscape
Familiarise yourself with the financial institution's operations, particularly around pricing and reference data. Knowing how systems like IVP Security Master and Bloomberg work will show that you're serious about the role.
✨Showcase Your Communication Skills
Since conveying complex ideas clearly is a must-have, prepare examples of how you've effectively communicated data insights to non-technical stakeholders. This will demonstrate your ability to bridge the gap between data and decision-making.
✨Be Proactive and Solution-Oriented
Think of instances where you've taken initiative to resolve issues or improve processes. Highlighting your proactive approach will resonate well, especially since the role involves managing exceptions and delivering projects independently.