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Data Treasury Analyst

hace 2 meses

Madrid, Madrid, España Ebury A tiempo completo
About Ebury

Ebury is a leading FinTech company, recognized as one of the top 15 European Fintechs to work for by AltFi. We offer a range of innovative financial products and services, including FX risk management, trade finance, currency accounts, international payments, and API integration.

Job Summary

We are seeking a highly skilled Data Treasury Analyst to join our team in Madrid. As a Data Treasury Analyst, you will be responsible for conducting quantitative research and developing financial models to measure liquidity constraints and counterparty risk in FX derivatives and structured products.

Key Responsibilities
  • Conduct quantitative research with financial risk modelling and statistical models to measure liquidity constraints and counterparty risk in FX derivatives and structured products.
  • Assist in developing and back-testing of Monte Carlo stochastic models for FX portfolio liquidity stress tests in Python.
  • Develop portfolio market risk and credit risk management models to assess portfolio risk tolerance and drive business decisions.
  • Evaluate and recommend effective financing and hedging strategies to limit portfolio exposure and liquidity risk.
  • Develop risk and performance metrics at both individual trade and portfolio levels.
  • Produce comprehensive liquidity reports to facilitate executive-level decision making on company liquidity reserve, capital financing, and portfolio hedging strategies.
  • Build Python models and algorithms to streamline analytic functions such as calculation of mark to market for FX derivatives, portfolio sensitivity analysis, liquidity reports automation, etc.
  • Build risk-based pricing models (e.g. liquidity risk, credit risk, swap risk, etc. - XVAs) to derive product minimum spreads.
  • Quantify trading costs with different banks such as bid-ask spreads, swap costs, and margin posting agreement.
  • Embed model calculations in either Excel pricing tools or Google Data Studio dashboards for the front office.
  • Recommend strategies and pricing for structuring complex FX derivative products (e.g. Cross currency swap, options structures, and deal-contingent forwards).
  • Identify portfolio Macro risk factors and promote beta neutral trading strategies.
  • Develop frameworks to evaluate the dealers' profitability and performances.
Requirements
  • Economics or quantitative degree with knowledge of financial modelling, accounting, and econometrics.
  • Advanced experience working with Microsoft Office Suite (Excel, PowerPoint) and Google Docs Editors Suite, Python, SQL.
  • Familiarity with BI tools such as Looker and Google Data Studio.
  • Strong written and oral skills, ability to explain modelling results to non-technical audiences.