Senior Vice President, Lead Quantitative Model Architect
1 week ago
The Senior Vice President, Lead Quantitative Model Architect is a key strategic professional who diligently monitors the latest advancements in the field and integrates them into their role and the organization. This position requires an adept model architect with robust technical, quantitative, and analytical capabilities, along with a profound comprehension of economic principles. Excellent communication skills are essential for effective collaboration and negotiation with team members.
While a background in economic model architecture is advantageous, we welcome candidates with a strong foundation in model development, even if they lack specific experience in macroeconomic or financial forecasting.
Key Responsibilities:
- Oversee model architecture initiatives to create top-tier models for various macroeconomic concepts, including GDP, unemployment rates, housing price indices, exchange rates, interest rates, and credit spreads.
- Conduct thorough analytical research to pinpoint causal factors and support methodological strategies.
- Act as a subject matter expert in econometrics and statistical analysis.
- Provide mentorship and guidance to junior model architects.
- Generate macroeconomic scenario forecasts for critical macroeconomic variables in firmwide regulatory processes.
- Utilize Python to develop and validate statistical models, ensuring the code is clean, efficient, and well-documented.
- Effectively communicate findings to diverse audiences.
- Collaborate with teams to address business challenges.
- Identify modeling opportunities that deliver measurable business outcomes.
- 4+ years of post-PhD experience, or 6+ years of post-Master's experience.
- Strong grasp of quantitative model development methodologies, ideally gained through experience at a comparable financial institution.
- Proven experience as a lead model architect, including mentoring junior team members.
- Extensive knowledge of econometrics, with familiarity in time series econometrics. Understanding of machine learning techniques, such as XGBoost, is beneficial.
- Hands-on experience in programming for predictive model development and validation.
- Proficient in Python programming.
- Solid understanding of economic theories and concepts.
- Demonstrated ability to communicate clearly and concisely, both in writing and verbally.
- Self-driven and detail-oriented.
- Exhibited project management and organizational skills, capable of managing multiple projects simultaneously.
- Master's degree required; Ph.D. preferred.
Risk Management
Job Family:
Risk Analytics, Modeling, and Validation
Time Type:
Primary Location:
New York, New York, United States
Compensation:
$176,000 - $265,080.00
In addition to salary, Citigroup's offerings may include discretionary and formulaic incentive and retention awards. Citigroup provides competitive employee benefits, including medical, dental, and vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citigroup also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For further information regarding Citigroup employee benefits, please visit our website.
Citigroup 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.
Citigroup Inc. and its subsidiaries invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, please review our accessibility resources.
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