BMG Money

Analytics Manager – Collection

BMG Money

full-time

Posted on:

Location Type: Hybrid

Location: Miami • Florida • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Job Level

Mid-LevelSenior

Tech Stack

PythonSQLTableau

About the role

  • Develop and maintain risk-based segmentation and severity models to inform treatment paths across delinquency stages.
  • Build and refine intent-to-pay and willingness-to-pay models, including hardship-program candidate scoring.
  • Partner with data engineering to ensure segmentation logic is robust and production-ready.
  • Measure and forecast response rates by contact channel (SMS, email, IVR, live agent, etc.).
  • Provide guidance on optimal contact strategies and champion data-driven tests to improve engagement.
  • Analyze delinquency, roll, and recovery trends; identify operational drivers behind performance changes.
  • Evaluate effectiveness of programs (payment plans, settlements, hardship) on customer cure and roll-back rates.
  • Provide agent-level performance intelligence, linking behaviors to outcomes.
  • Build dashboards and scorecards that track KPIs across early-, mid-, and late-stage collections.
  • Synthesize data into clear insights, crafting structured narratives that help leaders understand “what’s happening, why, and what to do next.”
  • Present findings in concise, business-focused terms that inspire action.
  • Produce volume and recovery forecasts, stress-test scenarios, and recommend course corrections to improve efficiency and results.
  • Support post charge-off modeling to estimate payment potential.
  • Work with leaders in Collections, Risk, Compliance, and Product to frame problems, scope analyses, and implement findings.
  • Serve as a trusted thought partner who can bridge analytics and operational strategy.

Requirements

  • 5+ years of experience in analytics, strategy, or quantitative operations roles; experience in collections or credit risk strongly preferred (full credit spectrum).
  • Proficiency in SQL and Python (or R) for data querying, modeling, and statistical analysis.
  • Advanced skills with BI tools (Tableau, Power BI, Looker) for reporting and visualization.
  • Demonstrated ability to organize complex information, apply structured problem-solving, and communicate insights through clear, persuasive stories.
  • Solid understanding of delinquency, roll rates, recoveries, and operational levers that influence collections outcomes.
  • Strong critical thinking and written/oral communication skills.
  • Comfortable managing multiple priorities independently in a fast-paced environment.
Benefits
  • Flexible work arrangements
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonRdata queryingmodelingstatistical analysisrisk-based segmentationintent-to-pay modelswillingness-to-pay modelsforecasting
Soft skills
problem-solvingcommunicationcritical thinkingorganizational skillspersuasive storytellingindependent managementdata-driven decision makingcollaborationanalytical thinkingpresentation skills