Senior Quantitative Analyst
Dallas or Tampa or Jersey City, NJ(Hybrid)
Pay Rate : $70 / Hr on W2(Max)
Client : DTCC
Skills : Quantitative Models, Research, VaR and Backtesting, SQL, Python, VaR Modeling, Quantitative Risk Management
Job Summary
We are looking for a consultant to join the Quantitative Risk Management group ("QRM"), which is responsible for quantitative model development and performance assessment including model performance monitoring ("MPM") and backtesting ("BT").
The consultant will support the backtest and MPM process. Specific Responsibilities :
Qualifications :
Must have :
Demonstrated experience in quantitative model development and performance assessment, particularly in areas such as Value at Risk (VaR) and backtesting methodologies.
Proficiency in data processing languages such as SQL and Python, essential for data analysis, model development, and automation of tasks.
General understanding of financial markets, products, and risk management principles, including VaR modeling and risk metrics such as backtesting
A Master's degree in a quantitative field, preferably in applied economics, econometrics, statistics, or financial engineering. A PhD with a similar background is preferred
Screening Questions :
1.) What is the candidate's full legal name?
2.) What is the candidate's Month and Day of DOB (required for submission to client as an unique identifier) :
3.) What is candidate's desired hourly pay rate?
4.) Please provide the link to candidate's LinkedIn profile :
5.) Where is the candidate located? If candidate is not near the job location, please explain relocation plan in detail (e.g. timeline, relocating with family, selling / buying property)
6.) Is the candidate legally authorized to work in the US for any employer?
7.) Will the candidate now or in the future, require immigration sponsorship for work authorization (for example, H-1B status)?
8.) Can you discuss your experience with quantitative model development and backtesting methodologies, highlighting specific projects where you have designed and maintained backtest models to assess the performance of quantitative risk models?
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