While some background in economic model development desirable, we encourage applicants with a strong model development background (even if no experience specific to
Responsibilities:
- Build best-in-class models for a variety of macroeconomic concepts, such as GDP, unemployment, HPI, inflation, and trade.
- Conduct rigorous analytical research to identify causal drivers and to support methodological approaches
- 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:
- 1+ years of post-PhD work experience, or 3+ 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
- 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
- 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