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Senior Vice President, Lead Quantitative Model Architect

2 months ago

New York, New York, United States Citigroup Inc Full time

The Senior Vice President, Lead Quantitative Model Architect is a pivotal figure who diligently monitors the latest advancements in the field and integrates them into both their role and the organization. This professional possesses extensive experience in model architecture, showcasing robust technical, quantitative, and analytical capabilities, along with a comprehensive grasp 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 the development of top-tier models for various macroeconomic indicators, including GDP, unemployment rates, housing price indices, exchange rates, interest rates, and credit spreads.
  • Conduct thorough analytical investigations to pinpoint causal factors and substantiate methodological strategies.
  • Act as a specialist resource in econometrics and statistical validation.
  • Provide mentorship and guidance to junior model architects.
  • Generate macroeconomic scenario forecasts for essential regulatory processes.
  • Utilize Python for constructing and evaluating statistical models, ensuring the code is clean, efficient, and well-documented.
  • Effectively communicate findings to a diverse range of stakeholders.
  • Collaborate on teams to address business challenges.
  • Identify modeling opportunities that deliver measurable business outcomes.
Qualifications:
  • 4+ years of post-PhD professional experience, or 6+ years of post-Master's professional experience.
  • Deep understanding of quantitative model development methodologies, ideally gained through experience at a comparable financial institution.
  • Proven experience as a lead model architect, including the ability to mentor and guide junior developers.
  • Extensive knowledge of econometrics, with familiarity in time series econometrics and machine learning techniques such as XGBoost being beneficial.
  • Hands-on experience in programming for the development and testing of predictive models.
  • Proficient in Python.
  • Strong comprehension of economic principles.
  • Consistently demonstrates clear and concise written and verbal communication skills.
  • Self-driven and detail-oriented.
  • Exhibits project management and organizational skills, capable of managing multiple projects simultaneously.
Education:
  • Master's degree required; Ph.D. preferred.
Job Family Group:
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 also include discretionary and formulaic incentive and retention awards. Citigroup provides competitive employee benefits, including medical, dental & 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 additional information regarding Citigroup employee benefits, please visit our website. Available offerings may vary by jurisdiction, job level, and date of hire.

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 options.

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