FICO
FICO
FICO एक एनालिटिक्स और सॉफ्टवेयर कंपनी है, जिसे FICO® Score के लिए जाना जाता है। ऋणदाता इसका उपयोग क्रेडिट जोखिम का आकलन करने के लिए करते हैं। इसका व्यापक प्रौद्योगिकी प्लेटफ़ॉर्म डेटा, कृत्रिम बुद्धिमत्ता और मशीन लर्निंग को एक साथ लाकर निर्णय लेने और ग्राहक सहभागिता में सहायता करता है। FICO धोखाधड़ी का पता लगाने, क्रेडिट स्कोरिंग और ग्राहक जीवनचक्र प्रबंधन जैसे क्षेत्रों के लिए समाधान विकसित करता है। यह वित्त, दूरसंचार, परामर्श, बीमा और स्वास्थ्य सेवा सहित विभिन्न क्षेत्रों के संगठनों को सेवाएँ प्रदान करता है। इसके उत्पाद व्यवसायों को वास्तविक समय में परिस्थितियों का विश्लेषण करने, निर्णय प्रक्रियाओं को अनुकूलित करने और जटिल परिदृश्यों का प्रबंधन करने में मदद करने के लिए बनाए गए हैं।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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