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Quant Analyst Credit Risk

eFinancialCareers
Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Alexander Ash are currently working with aglobal organisation who are looking foraQuantitative Model/Analyst to join their team.This is an exciting opportunity for any Quantitative Model/Analyst who is dedicated and will seek to identify improvementsand efficiencies, while utilising new technologies and existing tools as the organisation takes on one of itsbiggest bodies of work.Overview

    • Masters or PhD degree in applied quantitative discipline (e.g. Quantitative Economics/Finance, Econometrics, Statistics, Financial Engineering, Computational Science, Quantitative Finance)
    • Risk Modelling, Quantitative Financial Analysis, Credit Risk
    • strong understanding in financial products and macroeconomic concepts as well as their interactions
    • experience in building models from scratch (e.g., time series analysis, linear/non-linear models, Gaussian/non-Gaussian models, parametric/non-parametric models)
    • sound knowledge of statistical and econometric methods and their application
    • proficient in programming with statistical software. Python & R is strongly preferred
    • strong analytical, conceptual and organizational skills
    • a clear understanding of the following terms: Monte-Carlo, bootstrap, stationarity, co-integration, regression, goodness of fit, out-of-sample, null hypothesis, p-value, risk-neutral, autoregressive, quantiles, density function

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