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Quantitative Modelling Analyst

City Of Westminster, London, United Kingdom, £ £ - Annual Annual, Permanent


Quantitative Modelling AnalystUp to £55,000Leeds

I'm currently seeking a Senior Analyst for a Predictive Modelling and Advanced Analytics role at an exciting financial services brand. If you are a bright Analyst with strong academics and strong modelling background then this could be the challenge you've been looking for.

Use data and apply advanced analytics, predictive modelling and machine learning techniques to accurately predict asset valuations in a Credit Risk environment. With end to end ownership, you'll present your own recommendations to investment committee's and stakeholders. This is the perfect role for someone looking for an opportunity to learn and grow, with increased responsibility and accountability!


Use machine learning and advanced analytical techniques (Monte Carlo Simulations, Bayesian Statistics, Logistic Regression, Random Forests, KNN, XGBoost, etc.) to accurately predict and value Credit Risk and increase profits
Develop predictive models, e.g. Scorecards, using statistical tools and techniques to increase efficiency and profitability across international markets
Present and explain your analysis, valuations and predictions to the Decision Committee and Stakeholders
Dig into data and raw information through statistical analysis to discover trends and patterns that can be used to extract valuable business insights.
Actively push the boundaries in modelling, predictive analytics and business insights to ensure the latest developments in data science and analytics are leveraged

The successful candidate will likely have the following skills and experience:

Master degree (preferred) in a STEM or similar discipline
Previous experience in developing predictive models in a financial or pricing environment
Proven stakeholder management examples
Experience managing databases with SQL
Experience in using statistical computing languages R, Python or SAS to manipulate data and draw insights from those data sets
Experience working in a data-driven or quantitative role within financial services, ideally within Credit Risk
Strong communicator with fluency in English (European languages an advantage)

Email your CV or use the apply feature on this page


Credit Risk Analytics, Credit Risk Models, Basel, AIRB, Scorecards, Decision Science, Machine Learning, Data ScienceSAS, SQL, PD, LGD, EAD, IFRS9, Logistic Regression, Decision Tree, Monte Carlo Simulations, Bayesian Statistics, Logistic Regression, Random Forests, KNN, XGBoost

Job Details

Not Specified
City Of Westminster, London, United Kingdom
£ £ - Annual Annual