Informacje o stanowisku

We are currently supporting a leading financial institution in the search for an experienced Market Risk Reporting Analyst to join their Rates & FX team. This role focuses on delivering insightful market risk analysis, regular reporting, and participating in risk process transformation initiatives. You will be working with cross-functional teams to ensure comprehensive risk coverage and contribute to modernising risk analytics infrastructure.

Oczekujemy

• 5+ years of experience in Risk or Finance within a major financial institution.
• 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.
• 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.

Agencja zatrudnienia – nr wpisu 47

ta oferta pracy przeznaczona jest dla osób powyżej 18 roku życia

Oferujemy

• B2B Contract
• Opportunity to join a global financial leader with a strong focus on innovation and transformation
• Hybrid working model with opportunities for career progression.
• Involvement in strategic risk transformation projects with real impact.

Zadania

• Prepare and deliver market risk reports on a recurring basis, monitoring key movements and trends across Rates & FX portfolios.
• Analyze portfolio risk using standard methodologies such as VaR/ESF, factor sensitivities, issuer risk monitoring, and stress testing.
• Collaborate with risk managers to identify emerging risks and provide meaningful insights.
• Actively contribute to risk transformation initiatives – including streamlining limits & triggers and enhancing self-service dashboards.
• Support additional regulatory and internal reporting requirements as needed.
• Maintain a strong control environment across all deliverables, leveraging automation tools to ensure data quality and consistency.
• Identify and manage data quality issues in partnership with risk, data, and technology teams.
• Assist with the development and automation of reporting processes using Tableau and Python.

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