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Senior Vice President, Lead Quantitative Model Developer
2 months ago
The Senior Quantitative Model Developer plays a pivotal role in shaping strategic initiatives by staying abreast of the latest advancements in the field and applying them effectively within the organization. This position requires a seasoned model developer with robust technical, quantitative, and analytical capabilities, alongside a comprehensive grasp of economic principles. Exceptional communication skills are essential for effective collaboration and negotiation with team members.
While a background in economic model development is advantageous, we welcome candidates with a strong foundation in model development, regardless of specific experience in macroeconomic or financial forecasting.
Key Responsibilities:
- Drive 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 research to uncover causal relationships and support methodological frameworks.
- Act as a subject matter expert in econometrics and statistical validation.
- Mentor and guide junior model developers in their professional growth.
- Generate macroeconomic scenario forecasts for critical regulatory processes, such as CECL, CCAR, and IFRS 9.
- Utilize Python programming to construct and evaluate statistical models, ensuring the production of clean, efficient, and well-documented code.
- Effectively communicate findings to a diverse range of stakeholders.
- Collaborate on teams to address complex business challenges.
- Identify modeling opportunities that deliver quantifiable business benefits.
- Minimum of 4 years of post-PhD experience or 6 years of post-Master's experience.
- Deep understanding of quantitative model development methodologies, ideally gained through experience at a comparable financial institution.
- Proven track record as a lead model developer, including the ability to mentor junior team members.
- 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 programming.
- Strong comprehension of economic concepts.
- Demonstrated ability to communicate clearly and concisely, both in writing and verbally.
- Self-driven and detail-oriented with excellent project management skills.
- Ability to manage multiple projects simultaneously.
- Master's degree is required; Ph.D. is preferred.
Risk Management
Job Family:
Risk Analytics, Modeling, and Validation
Time Type:
Compensation:
Competitive salary and benefits package, including medical, dental, and vision coverage, 401(k), life insurance, and wellness programs.
Citi is committed to diversity and inclusion, providing equal opportunity for all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
