Participate in model development efforts to build best-in-class models for a variety of macroeconomic and concepts, such as GDP, unemployment, HPI, exchange rates, interest rates, credit spreads, etc.
Conduct rigorous analytical research to identify causal drivers and to support methodological approaches
Execute projects requiring understanding of econometrics and statistical testing
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.
Participate on teams to solve business problems.
Identify modeling opportunities that yield measurable business results.
Qualifications:
2+ years of post-Master’s work experience or PhD
Strong knowledge of econometrics, with some knowledge of time series econometrics. An understanding of machine learning approaches like XGBoost is also helpful.
Practical experience writing programs to build and test predictive models
Proficient in Python
Solid understanding of economic concepts
Consistently demonstrates clear and concise written and verbal communication skills