Financial Data Analyst

5 days ago

Belfast, United Kingdom Smart IT Frame LLC Full time
Job Description

Job Title: Business Data Analytics

Company: Smart IT Frame LLC

Job Type: Full-time

Location: Remote

About Us: Smart IT Frame LLC is a leading provider of innovative technology solutions. We are seeking a highly skilled Business Data Analytics professional to join our team.

Key Responsibilities:
  • Investment Banking Domain Knowledge: Demonstrate a comprehensive understanding of investment banking operations, including trade lifecycle, asset classes, financial instruments, and regulatory frameworks.
  • Business Reporting Framework Development: Design and develop effective business reporting frameworks to support investment banking operations. Collaborate with stakeholders to understand reporting requirements and translate them into actionable data models and reporting solutions.
  • Data Analysis and Interpretation: Collect, organize, and analyze large volumes of data from various sources, including transactional systems, market data feeds, and external data providers. Conduct data profiling, data mapping, and data transformation activities to ensure data consistency and accuracy.
  • Reconciliation: Conduct reconciliations of investment banking data, including trade confirmations, settlements, cash balances, and positions. Identify discrepancies and work collaboratively with relevant teams to investigate and resolve issues in a timely manner.
  • Stakeholder Collaboration: Liaise with business users, technology teams, compliance officers, and operations teams to gather requirements and ensure alignment with business objectives.
Requirements:
  • Education: Masters degree in Finance, Business Economics, or a related field. Advanced degree preferred.
  • Experience: Strong experience as a Data Analyst, Business Analyst, or related role in the investment banking domain.
  • Skills: Proficiency in developing and implementing business reporting frameworks and data visualization tools. Hands-on experience with data analysis and interpretation, including data mapping, data transformation, and statistical analysis.
  • Tools: Familiarity with reconciliation processes and their importance in investment banking operations. Solid understanding of data quality principles and techniques. Proficient in using data analysis tools, data manipulation languages, and reporting tools, e.g., SQL, Excel, Tableau, Power BI.
  • Personal Qualities: Strong analytical and problem-solving skills with the ability to derive insights from complex datasets. Excellent communication and presentation skills with the ability to effectively convey technical information to non-technical stakeholders.

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