Business Analyst with Buy-Side and Front Office Experience

Remote.Bulgaria
Remote.Georgia
Remote.Poland
Белград
Варна
Варшава
Вроцлав
Єреван
Клуж-Напока
Краків
Ларнака
Лодзь
Люблін
Рига
Софія
Тбілісі

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Client

Our client is one of the world’s top 20 investment companies headquartered in Great Britain. The organization is undergoing a major transformation, consolidating external and internal data sources into a unified ecosystem provided by an external vendor that aggregates all essential market, portfolio, and reference data.

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.

Position overview

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.

Working hours: 9:00 AM to 5:00 PM, aligned with London time.

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 pricing and positions data specifics
Strong ability to translate business requirements into technical deliverables
Excellent analytical and problem‑solving skills with attention to detail
Strong communication skills and fluent spoken English