FICO
FICO
FICO ir analītikas un programmatūras uzņēmums, kas pazīstams ar FICO® Score kredītreitingu. Aizdevēji to izmanto kredītriska izvērtēšanai. Uzņēmuma plašākā tehnoloģiju platforma apvieno datus, mākslīgo intelektu un mašīnmācīšanos, lai atbalstītu lēmumu pieņemšanu un klientu iesaisti. FICO izstrādā risinājumus, tostarp krāpšanas atklāšanai, kredītreitinga noteikšanai un klienta dzīves cikla pārvaldībai. Uzņēmums apkalpo dažādu nozaru organizācijas, piemēram, finanšu, telekomunikāciju, konsultāciju, apdrošināšanas un veselības aprūpes jomā. Tā produkti palīdz uzņēmumiem reāllaikā analizēt situācijas, pielāgot lēmumu pieņemšanas procesus un pārvaldīt sarežģītus scenārijus.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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