Senior Quantitative Model Developer - Economic Forecasting, SVP - Hybrid

The Quantitative Model Developer is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. The Quantitative Model Developer is an experienced model developer with solid technical, quantitative, and analytical skills, as well as a basic understanding of economic concepts. Developed communication skills required in order to negotiate collaborate with other team members.

While some knowledge of and background in macroeconomic/financial forecasting or model development is useful, we encourage applicants with a strong model development background (even if no experience specific to macroeconomic/financial forecasting).

Responsibilities:

• Lead model development efforts to build best-in-class models for a variety of macroeconomic and financial concepts, including GDP, unemployment, HPI, interest rates, FX, and credit spreads.

• Conduct rigorous analytical research to identify causal drivers and to support methodological approaches

• Serve as an expert resource with respect to econometrics and statistical testing

• 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.

• Participate on teams to solve business problems.

• Identify modeling opportunities that yield measurable business results.

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

• Basic understanding of economic and/or financial market 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.

• Good knowledge and understanding of a variety of model development techniques covering risk models. Practical experience across multiple techniques (e.g., time series, LASSO, XGBoost) is helpful.

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:

Irving Texas United States

Primary Location Full Time Salary Range:

$156,160.00 - $234,240.00

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:

Mar 26, 2024

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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