VP Quantitative Model Developer (Hybrid) - Citi : Job Details

The VP, Quantitative Model Developer is a strategic professional who closely follows the latest trends in their field and adapts them for application within their job and the business. This role requires an experienced model developer with solid technical, quantitative, and analytical skills, as well as a strong understanding of economic concepts. Developed communication skills are essential for negotiating and collaborating with other team members.

While some background in economic model development is desirable, we encourage applicants with a strong model development background (even if no experience specific to macroeconomic/financial forecasting).

Responsibilities:

• Build best-in-class models for a variety of macroeconomic concepts, such as GDP, unemployment, HPI, exchange rates, interest rates, credit spreads, etc.
• Conduct rigorous analytical research to identify causal drivers and support methodological approaches.
• Serve as a resource with respect to 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:

• 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.
• Experience as a model developer, including collaborating with peer developers.
• 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.

Job Family Group: Risk Management

Job Family: Risk Analytics, Modeling, and Validation

Time Type: Full time

Primary Location: New York, New York, United States

Primary Location Full Time Salary Range: $142,320.00 - $213,480.00

In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Anticipated Posting Close Date: Feb 11, 2025

Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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