Enova International logo
Monthly
€6,945 - €9,043
Posted August 28, 2026 · 0 days agoLast seen August 27, 2026Est. expiry October 2, 2026

Data Scientist

Senior Data Scientist
How this salary compares
Salary Context: Data Scientist

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("All roles in Chicago, United States"), this listing's salary midpoint is about 37% lower. The offer sits below the benchmark range (€9,260–€20,140). The listed pay band (€8,000–€10,417) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 3 comparable listings.

Monthly salary comparison for Data Scientist
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: Data Scientist€3,250/per month€5,775/per month€8,681/per month
All roles in Chicago, United States€9,260/per month€13,890/per month€20,140/per month
About the role

About the role: As a Senior Data Scientist, you will be one of Enova’s most valuable team members. You will develop, enhance and test the company’s models for use in determining the appropriate lending criteria and verification procedures. You will perform independent model validations to evaluate model fit for purpose, conceptual soundness, mathematical theory and assumptions, data/assumptions, and output reasonableness. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation. Responsibilities: - Perform model validation of credit risk models - Prepare model validation reports and write technical documentation - Assist analysts in validating and preparing their models for production - Interact with model stakeholders and business partners to gather information about credit models and risk acceptances - Support model releases to ensure they are quickly and accurately put into production - Monitor model performance dashboards, build alerts, and escalate concerns as appropriate - Support and improve automated model training processes by using data manipulation, and machine learning skills - Use your programming skills to develop and test programs for custom tool development Requirements: - Experience in developing advanced credit risk models - 5+ years of experience in quantitative analysis in the financial services industry is preferred but not required - Knowledge of statistical models in risk management - Advanced programming skills in Python and the ability to write customized programs for meaningful data analysis - Experience working with relational databases, such as SQL Compensation: The budgeted annual salary range for this position is $96,000 to $125,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here. Benefits & Perks: Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results. Health, dental, and vision insurance including mental health benefits 401(k) matching plus a roth option (U.S. Based employees only) PTO & paid holidays off Sabbatical program (for eligible roles) Summer hours (for eligible roles) Paid parental leave DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) Employee recognition and rewards program Charitable matching and a paid volunteer day…Plus so much more!

Job Details

Responsibilities

  • Perform model validation of credit risk models
  • Prepare model validation reports and write technical documentation
  • Assist analysts in validating and preparing their models for production
  • Interact with model stakeholders and business partners to gather information about credit models and risk acceptances
  • Support model releases to ensure they are quickly and accurately put into production
  • Monitor model performance dashboards, build alerts, and escalate concerns as appropriate
  • Support and improve automated model training processes by using data manipulation, and machine learning skills
  • Use your programming skills to develop and test programs for custom tool development

Requirements

  • 5+ years of experience in quantitative analysis in the financial services industry (preferred)
  • Experience in developing advanced credit risk models
  • Knowledge of statistical models in risk management
  • Advanced programming skills in Python
  • Experience with relational databases (SQL)

Skills & Technologies

PythonSQLMachine LearningStatistical ModelingData manipulation
Seen 1 day agoOpen ApplicationPartial Schema
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Enova International
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