Experian
Data and technology
SeniorDataModelingAnalyst
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Modeling Analyst at Experian. Skills: Data Modeling, Machine Learning, Statistical Modeling, Python, SQL. Independently deliver analytical projects. Build statistical and machine learning models”
What You'll Achieve.
support our goals
Industry & Context.
Experience solving complex and unique problems; identify trends and issues; recommend alternatives
What They're Looking For.
Must Have
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, large-scale data manipulation in Credit Lending industry, Proficiency in Python, SQL, experience building scalable pipelines, Knowledge of statistical models, practical experience in predictive model development, Domain experience in financial services, exposure to credit lending, credit risk modeling, credit decisioning lifecycle, Experience with model deployment and productionization, Experience joining large datasets, creating complex logic for data cleaning, outlier detecting, refining business rules, validate and monitor the model forecast, Experience solving complex and unique problems
Nice to Have
Python, R, SAS, origination, underwriting, limit setting, portfolio monitoring, CI/CD pipelines, version control, integration of models into scalable, real-time or batch decisioning systems
What You'll Do.
Independently deliver analytical projects
Build statistical and machine learning models
Use a broad set of technologies
Design and improve acquisition strategies
Translate findings into applicable business recommendations
Collaborate with internal and external clients
Interpret results of analyses
Communicate with and deliver presentations
Produce implementation plans
Help develop analytic and data products
How You'll Work.
Team & Collaboration
Collaborate with internal and external clients; Work with product team
Communication Scope
Communicate with and deliver presentations to end-users
Process & Methodology
implementation plans
Full Job Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. You'll have opportunity to: * 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. ## Qualifications * 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 SQ
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