Fannie Mae
Fannie Mae
Fannie Mae moliya va ko‘chmas mulk sohalari kesishmasida faoliyat yurituvchi, hukumat tomonidan qo‘llab-quvvatlanadigan tashkilotdir. U kreditorlardan ipoteka kreditlarini sotib olib, ularni ipoteka bilan ta’minlangan qimmatli qog‘ozlarga birlashtiradi hamda kreditorlarni kapital bozorlaridagi investorlar bilan bog‘lashga yordam beradi. Fannie Mae shu faoliyati orqali uy-joy sotib olish va ijaraga beriladigan uy-joy bozorlariga likvidlik taqdim etib, uy-joyning yanada hamyonbop bo‘lishi va bozor barqarorligini qo‘llab-quvvatlaydi. Uning yirik va turli yo‘nalishlarni qamrab olgan tashkiloti bizneslararo moliyaviy xizmatlar hamda turar joy ko‘chmas mulkini moliyalashtirish asosidagi infratuzilmaga hissa qo‘shish imkoniyatlarini taqdim etadi.

Senior Quantitative Modeler – Washington, DC (Hybrid)

Fannie Mae is seeking a Senior Quantitative Modeler to develop mortgage-finance models for property valuation, home-price indexes, and forecasting. The role applies statistical, econometric, and programming methods to quantitative analysis and model risk assessment.

Tavsif

  • Research mortgage-finance questions using theoretical and empirical methods with public and proprietary data, covering property valuation, home-price indexes, and forecasting.
  • Apply mathematical, statistical, and econometric methods to inform business strategies and initiatives.
  • Deliver modeling projects in accordance with company policies and established industry practices.
  • Perform or evaluate ad hoc quantitative analyses, modeling, and programming with SQL, R, or Python.
  • Apply advanced data-mining and statistical methods to generate insights, hypotheses, and recommendations.
  • Find opportunities to use quantitative approaches to strengthen business performance.
  • Design validation and testing approaches while evaluating model methodology, outputs, processes, quality, and risk.
  • Interpret model findings, track performance, and evaluate associated risks.
  • Explain complex technical topics through presentations, white papers, review reports, and work papers.

Talablar

  • Bachelor’s degree or an equivalent qualification.
  • At least two years of experience in data analysis and modeling.
  • Demonstrated curiosity and adaptability when learning and responsibly applying emerging technologies, including artificial intelligence.
  • A postgraduate qualification or equivalent in statistics, physics, or mathematics is preferred.
  • Experience analyzing and modeling large datasets is preferred.
  • Experience producing technical documentation on data analysis and findings is preferred.
  • Proficiency with SQL, Python, GitHub, and AWS is preferred.

Imtiyozlar

  • Eligibility for Fannie Mae’s incentive program, subject to applicable program terms.
  • Comprehensive benefits covering health, life, voluntary lifestyle, and other offerings.
  • Benefits and perks designed to support physical, mental, emotional, and financial well-being.
  • Flexible work arrangement through the Flex program.

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