Credit Algo Model Validation VP

An international financial services organisation is looking to appoint a Senior Quantitative Model Validator to join its independent traded risk oversight function. This position focuses on the review and challenge of credit pricing and algorithmic trading models used across global markets.

You will be responsible for delivering rigorous technical assessments, developing benchmarking tools, and contributing to the evolution of model validation standards. The role offers significant exposure to front office, risk, and quantitative development teams internationally, along with opportunities to take on mentoring or leadership responsibilities over time.

• Conduct detailed independent reviews of credit pricing and algorithmic trading models, evaluating theoretical foundations, assumptions, and implementation.
• Analyse model limitations and uncertainties, forming clear opinions on model risk and appropriate usage.
• Develop benchmark approaches and testing methodologies to support validation activities.
• Review ongoing model performance and assess proposed model changes or enhancements.
• Prepare comprehensive technical documentation and present findings to stakeholders and governance committees.
• Partner with quantitative developers, trading teams, risk management, and valuation functions to provide expert guidance.
• Communicate technical conclusions effectively to both specialist and non-specialist audiences.

• Advanced academic background (PhD or Master’s) in a quantitative discipline such as mathematics, physics, engineering, or quantitative finance.
• Significant experience in quantitative model validation or model development within derivatives pricing or risk management.
• Strong knowledge of fixed income and credit products, including bonds, credit derivatives, repos, structured credit, and related instruments.
• Solid understanding of stochastic modelling, derivatives valuation frameworks, and numerical methods.
• Strong programming capability, preferably in Python or C++ (other languages considered).
• Demonstrated ability to assess and articulate model risk through both quantitative and qualitative analysis.
• Exposure to optimisation techniques, statistical modelling, or machine learning applications in finance.
• Experience with scientific computing and data analysis tools such as Num Py, Pandas, or similar libraries.
• Familiarity with datasets used in credit trading environments (e.g., trade data, RFQs, pricing feeds, ratings).
• Knowledge of market risk metrics such as VaR or backtesting methodologies.
• Experience with electronic pricing or trading platforms.

• Strong written communication and presentation skills.
• Confidence to challenge methodologies constructively and propose alternatives.
• Ability to work effectively across global teams and multiple stakeholder groups.
• Self-motivated, proactive, and intellectually curious.

• Competitive salary and comprehensive benefits package.
• Flexible hybrid working arrangements.
• Generous leave policies and wellbeing support programmes.
• Ongoing learning and professional development opportunities.
• Inclusive culture within a globally connected organisation.

This is an excellent opportunity for a senior quantitative professional seeking to apply deep technical expertise in a role with strategic impact across trading and risk functions.