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- Tasks: Join a team to drive data transformation in investment management.
- Company: Work with a leading firm in asset management, focused on innovation.
- Benefits: Enjoy hybrid work options and a dynamic office culture.
- Why this job: Be part of a major project that impacts the financial sector positively.
- Qualifications: 5+ years in Front Office environments and strong SQL skills required.
- Other info: Opportunity to work with cutting-edge technology like Charles River SaaS.
The predicted salary is between 48000 - 72000 £ per year.
Data focused Business Analyst with experience of working on Front Office Data Projects. Our client is looking for an experienced Data Business Analyst, with exposure to working within the Front Office of Asset Management firms to join them on a contract basis working on a large data transformation project as part of a Charles River SaaS upgrade.
The ideal candidate must have:
- 5+ years experience of working in Front Office environments
- 10+ years experience of Business Analysis
- Experience of working with SQL to query/transform data
- Exposure to working with technical individuals to translate business requirements into technical specs
Ideal Experience:
- Experience of working with CRD OMS/PMS system.
- Exposure to Python development (either in a hands-on capacity or working with technical teams using Python)
Location: London (City) - Hybrid - 3 Days/week in office.
Data Business Analyst - Investment Management employer: London, United Kingdom
Contact Detail:
London, United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Business Analyst - Investment Management
✨Tip Number 1
Network with professionals in the investment management sector, especially those who have experience with Front Office Data Projects. Attend industry events or webinars to connect with potential colleagues and learn more about the specific skills they value.
✨Tip Number 2
Familiarise yourself with the Charles River SaaS platform and its functionalities. Understanding how it integrates with data transformation projects will give you an edge during discussions with hiring managers.
✨Tip Number 3
Brush up on your SQL skills, focusing on querying and transforming data. Being able to demonstrate your proficiency in SQL during interviews can significantly boost your chances of landing the role.
✨Tip Number 4
If you have any exposure to Python, be prepared to discuss how you've used it in past projects. Even if you haven't coded directly, understanding its application in data analysis will show your ability to collaborate with technical teams.
We think you need these skills to ace Data Business Analyst - Investment Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Front Office environments and your 10+ years in Business Analysis. Emphasise any specific projects related to data transformation or Charles River SaaS upgrades.
Showcase Technical Skills: Include your proficiency with SQL and any experience you have with Python development. If you've worked with technical teams, mention how you translated business requirements into technical specifications.
Craft a Compelling Cover Letter: In your cover letter, explain why you're a great fit for the role. Discuss your relevant experience in asset management and how it aligns with the company's needs for this data transformation project.
Highlight Relevant Projects: If you've worked on similar data-focused projects, provide specific examples. Detail your role, the challenges faced, and the outcomes achieved to demonstrate your capability in handling such tasks.
How to prepare for a job interview at London, United Kingdom
✨Showcase Your Front Office Experience
Make sure to highlight your 5+ years of experience in Front Office environments. Be prepared to discuss specific projects you've worked on and how they relate to the role, especially in the context of asset management.
✨Demonstrate Your SQL Skills
Since the role requires working with SQL to query and transform data, be ready to provide examples of how you've used SQL in past projects. You might even want to brush up on some common SQL queries to discuss during the interview.
✨Translate Business Needs into Technical Specs
Prepare to explain how you've successfully collaborated with technical teams in the past. Think of examples where you translated business requirements into technical specifications, as this is a key part of the role.
✨Familiarise Yourself with Charles River and Python
If you have experience with the CRD OMS/PMS system or Python, make sure to mention it. Even if your exposure to Python is limited, showing that you understand its relevance in data analysis can set you apart from other candidates.
