Job Description
Are you a strategic thinker with a passion for data? Meridian Finance Group is seeking a talented Senior Financial Data Analyst to join our dynamic team in the heart of London.
We are at the forefront of financial innovation, leveraging cutting-edge analytics to drive decision-making across our global portfolio. In this role, you will bridge the gap between complex financial data and actionable business strategy, ensuring our risk management and investment strategies are data-driven and robust.
Why Join Us?
• Competitive salary and comprehensive benefits package.
• Hybrid working model in the historic City of London.
• Access to professional development and certification programs.
• A culture that values diversity and inclusion.
Your Impact:
We are looking for someone who doesn't just crunch numbers but interprets them to tell a story. You will work closely with C-suite executives and risk officers to build models that forecast market trends and assess credit risk.
Responsibilities
- Conduct in-depth financial analysis to support strategic planning and capital allocation decisions.
- Develop and maintain complex financial models (e.g., DCF, M&A, Valuation) using Python and Excel.
- Automate data reporting pipelines to improve efficiency and reduce manual errors in monthly reconciliation.
- Collaborate with the Risk Management team to assess portfolio performance and identify potential credit risks.
- Present analytical findings to senior leadership through clear, visual dashboards and executive summaries.
- Ensure compliance with regulatory standards (e.g., FCA, Basel III) by maintaining accurate audit trails.
Qualifications
- Bachelor’s degree in Finance, Economics, Mathematics, or Data Science (Master’s degree preferred).
- 3+ years of experience in financial analysis, banking, or fintech sectors.
- Proficiency in SQL for data extraction and manipulation.
- Strong programming skills in Python or R for statistical analysis.
- Advanced Excel skills including VBA, Macros, and complex functions.
- Experience with data visualization tools such as Tableau, PowerBI, or Looker.
- Excellent communication skills with the ability to translate technical data into business insights.