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Data Analyst - Credit Risk Modelling

  • Location: Irving, Texas, 75039
  • Job Type:Contract

Posted 21 days ago

Terrific 3+ month contract opportunity in Irving, TX for a Data Analyst (Credit Risk Modelling). Will interact with highly experienced quantitative analyst and risk management professionals across multiple risk groups and geographies.  

Responsibilities include:
•    Independently research, develop, and implement models for credit risk, market risk, and/or counterparty credit, including risk capital and/or stress testing, macro econometric and time series forecasting models.
•    Develop, implement and enhance methodologies, algorithms and diagnostic tools for testing model robustness, stability, reliability, performance, and quality control of modelling data, e.g., historical market data used for model parameter calibration, and participate in annual model reviews.
•    Develop, maintain, and enhance technical and non-technical documentation, including project plans, model descriptions, mathematical derivations, data analyses, processes and quality controls.
•    Work on various assigned tasks in response to regulatory and internal risk management requirements.
 
Qualifications:
•    Advanced degree (Master’s or PhD) in quantitative field: Economics, Finance, Mathematics, Engineering, Computer Science, Econometrics, Statistics, etc. is required; exceptional academic record (rewards, recognition, etc.) are a plus.
•    Prefer certifications: Financial Risk Manager (FRM), Chartered Financial Analysts (CFA), Certificate in Quantitative Finance (CQF).
•    3-5+ years of experience in Risk Model analysis.
•    Strong Financial Services experience.  Ideally, Banking credit risk background.
•    Actual hands-on experience of quantitative financial modelling (research, development, implementation) and maintaining detailed technical documentation for models, model validation, projects plans and processes.
•    Experience in statistical/data analysis techniques and numerical implementations and some familiarity of modern software development tools.
•    Very strong Excel skills: pivot tables, etc.
•    Programming experience in SAS, Python, or R.
•    Experience using statistical packages and regression models, C/C++, UNIX, databases, and version control systems is particularly advantageous.
•    Strongly prefer: derivative pricing, risk management practices, numerical methods including Monte Carlo simulation, statistical hypothesis testing, banking- or trading-book products, accounting and corporate finance, credit risk modelling, market risk modelling, counterparty risk modelling, risk capital modelling, stress testing.
•    Excellent written and verbal communication skills, with ability to synthesize complex technical information and explain it clearly.
 
If this sounds like the perfect fit, Apply Today!