Business Analyst with Buy-Side / Front-Office Experience
About the Position
We are looking for a Business Analyst with strong technical expertise and front-office domain knowledge from the buy-side (asset management). In this role, you will manage data queries from front-office stakeholders, capture and communicate requirements, and work with engineering and vendor counterparts to resolve issues and implement improvements. The role is offered on a hybrid basis, with the expectation to visit the office in the City of London a couple of days per week. Working hours: 9:00 AM to 5:00 PM, aligned with London time.
About the Team
The successful candidate will join the Risk Analytics team and communicate closely with data engineers, developers, and business users to understand front-office needs and design highly reliable data products and solutions. The role sits at the intersection of technology and investment management - supporting day-to-day (“business-as-usual”) data operations and driving improvements in data quality.
Responsibilities
- Communicate with portfolio managers, traders, and product owners to clarify and document data and reporting requirements
- Perform gap analysis and define requirements for implementing automated data quality and reconciliation checks
- Prepare and maintain data mappings between internal systems and vendor platforms
- Identify opportunities to improve front-office data workflows and enhance data consistency across the investment ecosystem
Requirements
- Hands-on experience in the asset management domain, ideally within front-office or portfolio management functions (CFA certification is a plus)
- 3+ years of experience working on data-heavy projects involving large, complex datasets and multiple data formats
- Understanding of the specifics of pricing and positions data
- Strong ability to translate business requirements into technical deliverables
- Excellent analytical and problem-solving skills with attention to detail
Nice to Have
- Understanding of front-office asset management systems (e.g., BlackRock Aladdin or State Street’s data platforms)
