At a Glance
- Tasks: Support clients with portfolio analytics and solve complex financial problems.
- Company: Leading financial analytics firm in Greater London with a strong reputation.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Why this job: Enhance client satisfaction while working with top-tier financial analytics solutions.
- Qualifications: 3+ years in Buyside finance, strong problem-solving, and communication skills.
- Other info: Opportunity to work with SQL and Python in a collaborative team.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial analytics firm in Greater London is seeking a Portfolio Support Specialist to join their Buyside Portfolio Support Team. This client-facing role requires excellent problem-solving and communication skills, along with a solid understanding of fixed income analytics.
Candidates must have a minimum of 3 years of experience in Buyside financial institutions or similar environments. Knowledge of SQL and Python is preferred.
The position offers an opportunity to enhance client satisfaction with Bloomberg's Portfolio and Risk Analytics solutions.
Client-Facing Buyside Portfolio Support (EMEA) employer: Bloomberg New Energy Finance
Contact Detail:
Bloomberg New Energy Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Client-Facing Buyside Portfolio Support (EMEA)
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance world, especially those who work in Buyside or have experience with fixed income analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your problem-solving skills. Think of real-life scenarios where you’ve tackled client issues or improved processes. We want to hear how you can enhance client satisfaction with our Portfolio and Risk Analytics solutions!
✨Tip Number 3
Show off your technical skills! If you’ve got experience with SQL and Python, make sure to highlight that during your conversations. We love candidates who can bring those skills to the table and help us deliver top-notch support.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals ready to join our team and make a difference.
We think you need these skills to ace Client-Facing Buyside Portfolio Support (EMEA)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Buyside financial institutions. We want to see how your skills align with the role, so don’t be shy about showcasing your problem-solving and communication abilities!
Showcase Relevant Skills: If you've got experience with SQL and Python, make it pop! We’re looking for candidates who can bring technical skills to the table, so include any relevant projects or tasks that demonstrate your proficiency.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about client-facing roles and how you can enhance client satisfaction with our Portfolio and Risk Analytics solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our Buyside Portfolio Support Team!
How to prepare for a job interview at Bloomberg New Energy Finance
✨Know Your Financial Analytics
Make sure you brush up on your knowledge of fixed income analytics. Understand the key concepts and be ready to discuss how they apply to real-world scenarios. This will show that you’re not just familiar with the theory but can also think critically about practical applications.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experience where you successfully solved complex problems in a client-facing role. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to follow your thought process.
✨Demonstrate Technical Proficiency
Since knowledge of SQL and Python is preferred, be ready to discuss your experience with these tools. If possible, prepare to talk about specific projects where you used them to enhance portfolio support or analytics. This will highlight your technical skills and relevance to the role.
✨Engage with the Interviewer
Remember, interviews are a two-way street! Prepare thoughtful questions about the company’s approach to client satisfaction and how they leverage Bloomberg's solutions. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.