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Fannie Mae
Fannie Mae
5,001 – 10,000 कर्मचारी
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Fannie Mae वित्त और रियल एस्टेट के संगम पर काम करने वाली सरकार द्वारा प्रायोजित संस्था है। यह ऋणदाताओं से बंधक ऋण खरीदकर, उन्हें मॉर्गेज-समर्थित प्रतिभूतियों में समूहीकृत करके और ऋणदाताओं को पूंजी बाजार के निवेशकों से जोड़ने में मदद करके अमेरिकी आवास वित्त प्रणाली का समर्थन करती है। इस कार्य के माध्यम से Fannie Mae घर खरीदने और किराये के आवास बाजारों में तरलता उपलब्ध कराती है तथा व्यापक आवास सामर्थ्य और बाजार स्थिरता को बढ़ावा देती है। इसका बड़ा और बहुविषयक संगठन व्यवसाय-से-व्यवसाय वित्तीय सेवाओं तथा आवासीय रियल एस्टेट वित्त के आधारभूत ढांचे में योगदान देने के अवसर प्रदान करता है।
LinkedIn
कंपनी की नौकरियाँ

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.

USसंयुक्त राज्यVAवर्जीनियाWAवॉशिंगटन
$1,23,000 – $1,61,000 / वर्ष
हाइब्रिडपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीसामान्य
AWSPythonSQL

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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