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Quantitative Risk Analyst

7 dni temu


Warszawa, Mazovia, Polska TN Poland Pełny etat

At TN Poland, we are seeking a highly skilled Quantitative Risk Analyst to join our Rates & FX team. This role focuses on delivering insightful market risk analysis and regular reporting.

About the Role:
  • This is a B2B contract opportunity with a leading financial institution.
  • You will be working with cross-functional teams to ensure comprehensive risk coverage and contribute to modernising risk analytics infrastructure.
Main Responsibilities:
  1. Prepare and deliver market risk reports on a recurring basis, monitoring key movements and trends across Rates & FX portfolios.
  2. Analyse portfolio risk using standard methodologies such as VaR/ESF, factor sensitivities, issuer risk monitoring, and stress testing.
  3. Collaborate with risk managers to identify emerging risks and provide meaningful insights.
  4. Actively contribute to risk transformation initiatives – including streamlining limits & triggers and enhancing self-service dashboards.
  5. Support additional regulatory and internal reporting requirements as needed.
  6. Maintain a strong control environment across all deliverables, leveraging automation tools to ensure data quality and consistency.
  7. Identify and manage data quality issues in partnership with risk, data, and technology teams.
  8. Assist with the development and automation of reporting processes using Tableau and Python.
Requirements:
  • A minimum of 5 years of experience in Risk or Finance within a major financial institution.
  • A Bachelor's degree in a quantitative field (e.g., Finance, Economics, Mathematics, or a related science); advanced qualifications such as FRM/CFA are a plus.
  • A strong understanding of market risk metrics and financial products in the interest rate and FX asset classes.
  • Proven analytical and problem-solving skills with the ability to work independently or as part of a team.
  • Solid experience with Tableau – essential; Python coding skills – highly desirable.
  • Familiarity with data analysis and manipulation tools (data pipelines) is a plus.