FICO
FICO
1 001 – 5 000 Xodimlar
KonsaltingSog‘liqni saqlashSug‘urta
FICO kreditorlar kredit xavfini baholash uchun foydalanadigan FICO® Score ko‘rsatkichi bilan tanilgan tahlil va dasturiy ta’minot kompaniyasidir. Uning keng qamrovli texnologik platformasi qaror qabul qilish va mijozlar bilan aloqani qo‘llab-quvvatlash uchun ma’lumotlar, sun’iy intellekt hamda mashinaviy o‘rganishni birlashtiradi. FICO firibgarlikni aniqlash, kredit skoringi va mijozlar hayotiy siklini boshqarish kabi yo‘nalishlar uchun yechimlar ishlab chiqadi hamda moliya, telekommunikatsiya, konsalting, sug‘urta va sog‘liqni saqlash kabi sohalardagi tashkilotlarga xizmat ko‘rsatadi. Uning mahsulotlari bizneslarga sharoitlarni real vaqt rejimida tahlil qilish, qaror qabul qilish jarayonlarini moslashtirish va murakkab vaziyatlarni boshqarishga yordam berish uchun ishlab chiqilgan.

Remote Analytic Consultant I – FICO Scores

Develop predictive and decision models for FICO’s financial services clients worldwide. Analyze large credit datasets and deliver scoring solutions using statistical methods and machine learning.

Tavsif

  • Help design, build, and deploy data-driven predictive models.
  • Support international FICO Scores projects with client data analysis, model development and validation, and delivery.
  • Develop and assess exploratory analyses, predictive models, and decision models for financial services challenges.
  • Analyze large consumer credit and credit bureau datasets.
  • Evaluate modeling suitability, find data patterns, create variables, and support scoring solutions.
  • Use statistical modeling, machine learning, pattern recognition, and performance inference methods.
  • Investigate and address data, modeling, and analytical problems.
  • Prepare, review, and present formal reports of analytical work.
  • Explain model results, insights, and recommendations to clients and other stakeholders.
  • Coordinate analytical work across concurrent projects and deliver on schedule.
  • Work with project teams and client stakeholders across international time zones.
  • Travel occasionally for client meetings or project work, domestically or internationally.

Talablar

  • Bachelor’s degree in a quantitative or technical discipline, such as applied mathematics, economics, statistics, operations research, computer science, engineering, physics, cognitive science, or a related natural science.
  • Experience in financial services, fintech, insurance, consumer lending, or credit bureaus is preferred.
  • Familiarity with consumer credit or fraud risk, credit bureau data, or lending decisions is preferred.
  • Strong programming and data analysis skills in Python, R, C++, Java, MATLAB, or a similar language.
  • Ability to prepare, transform, analyze, and model large datasets.
  • Ability to examine complex data, find data, processing, or analytical problems, identify root causes, and propose practical solutions.
  • Curious, analytical, and able to take initiative.
  • Clear and effective communicator.
  • Able to collaborate and work independently in cross-functional, client-facing settings.
  • Willing to contribute to global projects, including occasional meetings outside standard business hours.
  • Exposure to AWS, Azure, Google Cloud Platform, or similar services is a plus.

Imtiyozlar

  • An inclusive culture grounded in the company’s core values.
  • Professional growth and meaningful learning opportunities.
  • Competitive pay, benefits, and rewards programs.
  • Support for work-life balance.
  • Employee resource groups.
  • Social events.
  • Equal opportunities for employment and career advancement.

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