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- Tasks: Support data creation and maintenance for securities, funds, and benchmarks.
- Company: Join BlueBay Asset Management, a leader in financial services.
- Benefits: Enjoy competitive pay, bonuses, flexible benefits, and world-class training.
- Other info: Dynamic team environment with opportunities for growth and development.
- Why this job: Make a real impact in finance while working with top professionals.
- Qualifications: Must be proficient in Excel, Python, and have financial institution experience.
The predicted salary is between 50000 - 70000 £ 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 current or former employees at BlueBay Asset Management on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Make sure we can confidently discuss how we've used Excel, Python, and SQL in past projects. Real examples will make us stand out!
✨Tip Number 3
Show our passion for the finance industry! Keep up with market trends and be ready to discuss how they impact pricing and reference data. This will show that we’re not just another candidate, but someone who truly cares.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, it shows we’re genuinely interested in being part of the BlueBay 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!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL and any experience with generative AI tools. We love seeing candidates who can demonstrate their technical prowess, so make sure to include relevant projects or experiences.
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!
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 Problem-Solving Skills
Prepare examples of how you've resolved data issues or improved processes in previous jobs. Highlighting your analytical thinking and ability to manage exceptions will resonate well with the interviewers.
✨Engage with Stakeholders
Think about how you've collaborated with different teams in the past. Be ready to discuss how you maintain relationships with stakeholders and ensure smooth data flows, as this is crucial for the role.