Financial Data Analyst - Securities Russian speaker

Financial Data Analyst - Securities (Russian speaker)

Our client, a leading organization in finance and technology, is seeking motivated and detail-oriented Russian speakers to join their dynamic Securities team. This is a 6-month temporary contract with an immediate start date and would suit a candidate with a strong analytical mind and demonstratable interest in financial markets.

This is a great opportunity for graduates to begin their career within a leading organisation in the technology and finance industry. Successful applicants will receive world-class training, work in a complex and exciting environment, and have the opportunity to apply for permanent roles within the company.

The successful candidates will be responsible for performing entity research, updating databases, and performing data quality checks, while also supporting ad hoc projects to enhance data quality, timeliness, and coverage.

Ideal candidate should be a Native/Fluent Russian speaker and have a solid background in financial data. They should also have a strong interest in developing technical skills.

Key Responsibilities:

• Conduct entity research and database updates, including but not limited to, name identification (alternative names, former names, name in local language), business card data (company website, domicile address, registered address), identifiers (registry ID, legal entity identifier) and hierarchy research (bottom-up ultimate parent review, top-down subsidiary list review).
• Acquire and research the source documentation for explicitly sanctioned entities for the Client's covered jurisdictions and capture relevant sanctions data which will be defined in the training manuals provided by the Client.
• Performing data quality checks and other ad hoc projects to improve data quality and timeliness or expand data coverage.

Key Requirements:

• Native or fluent Russian speaker with strong written and verbal communication skills.
• Previous experience with Data Quality Checks.
• Background in financial data or a related field.
• Strong research and analytical skills with high attention to detail.
• Proficiency in Microsoft Excel and an interest in developing technical skills.
• Proficiency in programming languages would be a plus.
• Proactive approach to problem-solving and a commitment to delivering high-quality results.
• Ability to work effectively in a remote setting and handle sensitive information with professionalism.

Unfortunately, we are only able to contact applicants who are successful to interview stage.

We are an equal opportunities employer and welcome applicants from all sections of the community, regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation, and transgender status.