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• Responsibilities:
○ Lead model development efforts to build best-in-class models for a variety of macroeconomic and concepts, with an emphasis on HPI and CRE.
○ Conduct rigorous analytical research to identify causal drivers and to support methodological approaches
○ Provide guidance to junior model developers Produce macroeconomic scenario forecasts for macroeconomic variables in firmwide regulatory related processes, such as CECL, CCAR and IFRS 9
○ Utilize Python to build and test statistical models. Write clean, efficient, and well-documented code.
○ Communicate results to diverse audiences.
• Qualifications:
○ 4+ years of post-PhD work experience, or 6+ years of post-Master’s work experience
○ Strong understanding of quantitative model development approaches, preferably obtained through model development experience at a peer financial institution
○ Experience as a lead model developer, including mentoring and guiding junior developers
○ Very strong knowledge of econometrics, with some knowledge of time series econometrics
○ Practical experience writing programs to build and test predictive models
○ Proficient in Python
○ Strong understanding of economic concepts Consistently demonstrates clear and concise written and verbal communication skills
○ Self-motivated and detail oriented
○ Demonstrated project management and organizational skills and capability to handle multiple projects at one time.
• Education:
○ Master's degree required, Ph.D. preferred
Risk ManagementRisk Analytics, Modeling, and ValidationFull timeNew York New York United States$176,720.00 - $265,080.00
Anticipated Posting Close Date:
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