Experian

We're unlocking the power of data to help create a better tomorrow.

Senior Data Modeling Analyst

AnalystAnalystFull TimeRemoteSeniorTeam 10,001+Since 1996H1B SponsorCompany SiteLinkedIn

Location

California

Posted

12 days ago

Salary

$100.6K - $174.5K / year

Seniority

Senior

Bachelor Degree8 yrs expEnglishAWSPySparkPythonSQL

Job Description

Senior Data Modeling Analyst

Experian

• Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections • Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation • Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data • Design and improve acquisition strategies, including segmentation, decision rules, and cut-off strategies • Translate findings into applicable business recommendations for partners • Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied, as well as requirements for decision tool and strategy implementation and monitoring. • Interpret results of analyses, identify trends and issues and recommend alternatives to support our goals. • Communicate with and deliver presentations to end-users on analysis results. • Produce implementation plans and participate in audits to help implement statistical models and other decision tools. • Help develop analytic and data products and services, and the enhancement of current processes and offerings.

Job Requirements

  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
  • 8+ years' experience with statistical and quantitative analysis, Machine Learning, Statistical Modeling including large-scale data manipulation in Credit Lending industry
  • Proficiency in Python (required) and SQL, with experience building scalable pipelines
  • Knowledge of statistical models and practical experience in predictive model development (Python, R, SAS).
  • Domain experience in financial services, with exposure to credit lending, credit risk modeling, and credit decisioning lifecycle (e.g., origination, underwriting, limit setting, portfolio monitoring)
  • Experience with model deployment and productionization, including CI/CD pipelines, version control, and integration of models into scalable, real-time or batch decisioning systems
  • Experience joining large datasets from multiple data sources, creating complex logic for data cleaning, outlier detecting, and refining business rules to validate and monitor the model forecast
  • Experience solving complex and unique problems

Benefits

  • Flexible Time Off: 20 Days
  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

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