# Collections Risk Management Lead

**Company:** [Flex](https://hotfix.jobs/companies/flex)
**Location:** Remote
**Role:** Business Operations
**Salary:** $150k – $250k/yr
**Experience:** 7+ years
**Skills:** SQL, Python, R, Collections Analytics, Roll Rate Modeling, Recovery Forecasting, Dpd Management, Fdcpa, Reg F, Udaap
**Posted:** 2026-05-09

> Leads end-to-end collections risk management for Flex's credit card portfolio, optimizing delinquency treatments, vendor performance, and recovery strategies across consumer and SMB segments. Requires 7-15 years experience, SQL/Python proficiency, and deep knowledge of collections lifecycle and regulations.

## Job Description

## Core Responsibilities

- Own end-to-end collections risk management for Flex's credit card portfolio across consumer and small business segments — full lifecycle coverage from early delinquency through post charge-off recovery:
  - **Early stage collections**: monitor roll rates and delinquency migration across DPD buckets; design and refine treatment strategies by risk segment, balance tier, and obligor type; optimize contact timing, channel mix, and messaging to maximize cure rates
  - **Late stage collections**: manage pre-charge-off intervention strategies; own the analytical framework for determining when accounts warrant accelerated action versus continued treatment; maintain visibility into cure and re-default patterns by treatment cohort
  - **Hardship & modification management**: maintain analytical visibility into hardship program utilization, modification outcomes, and re-default rates; identify where hardship programs are being used appropriately versus as avoidance behavior
  - **Settlement strategy**: define settlement authorization frameworks by balance tier, DPD, and obligor type; evaluate the NPV trade-off between discounted resolution and continued collection effort; govern agency settlement authority
  - **Vendor & agency management**: define the strategic boundary between in-house collections and third-party placement; evaluate and manage agency relationships on the basis of liquidation rates, compliance posture, consumer treatment standards, and cost-to-collect; own the KPI framework for vendor performance
  - **Litigation**: identify accounts where legal escalation is warranted based on balance size, recovery probability, and obligor profile; maintain an analytical framework for litigation referral thresholds and track outcomes by segment
  - **Charge-off & recovery**: own charge-off timing policy and its interaction with loss reserve mechanics; build and maintain recovery rate forecasts by vintage, segment, and channel; track net loss emergence and recovery curves over time
  - **SMB-specific collections dynamics**: apply a distinct analytical lens to small business obligors — seasonal cash flow patterns, owner-business financial entanglement

- Build and maintain collections performance frameworks that surface deterioration signals early and enable proactive treatment
- Synthesize data across sources — payment history, bureau refreshes, transaction behavior, contact records, and macro indicators — to segment the delinquent population intelligently
- Lead periodic collections reviews: own the data, design the narrative, and present delinquency trends, recovery performance, and vendor outcomes to risk committees and senior leadership
- Partner cross-functionally with credit, legal & compliance, finance, and operations
- Contribute to stress testing and loss forecasting: model collections performance under adverse conditions and translate recovery assumptions into net loss projections
- Serve as the internal SME on collections analytics — establishing measurement standards, treatment logic, and vendor governance frameworks

## Qualifications

- 7–15 years of hands-on Collections risk management experience; direct exposure to both a bank or regulated card program and a fintech strongly preferred
- Hands-on familiarity with the full delinquency lifecycle: DPD bucket management, treatment strategy design, charge-off policy, recovery curve modeling, and net loss attribution
- Practical experience managing or working alongside third-party collections agencies — understands liquidation economics, placement timing trade-offs, cost-to-collect dynamics, and KPI frameworks
- Analytically self-sufficient: proficient in **SQL** and **Python** or **R**; capable of building roll rate matrices, cure rate cohorts, and recovery forecasts from raw data
- Familiar with the regulatory overlay on collections: **FDCPA** obligations, **Reg F** communication rules, **UDAAP** considerations, and state-level restrictions
- Understands the distinct dynamics of SMB collections — cash flow seasonality, the owner as guarantor

## Mindset

- Operates at a senior thinking level — brings a point of view on collections strategy
- Thinks about collections as a risk management discipline, not a call center operation
- Balances recovery maximization with consumer and business treatment standards
- High quantitative aptitude: strong intuitive feel for roll rates, cure rates, and recovery curves
- Effective communicator who can translate delinquency and recovery dynamics into crisp narratives

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