Demographic Analysis of Attrition Trends in Jharkhand-Based NBFCs

This study investigates employee attrition in non‑bank financial companies (NBFCs) operating in Jharkhand, deploying a demographic segmentation framework to reveal turnover drivers within the state’s socio‑economic context. Leveraging national attrition benchmarks—specifically the 77 % annual turnover rate among NBFC frontline staff and monthly churn between 9–13 % in loan‑sales roles as reported by TeamLease Services (TeamLease Services, 2025)—our inquiry couples a cross‑sectional survey of 1,200 employees (across urban branches in Ranchi, Jamshedpur, Dhanbad, and rural block‑level centres) with survival‑analysis of HR data from eight mid‑sized NBFCs operating in the state. Key findings reveal that 72‑76 % of surveyed staff exited their roles within the previous year, closely tracking the national NBFC average. Attrition was most pronounced among employees under 30, particularly those in contractual, frontline field roles, where infant exit rates (before 60 days) accounted for approximately 35 % of departures. Although women make up only about 22 % of NBFC employees nationwide, their separation rates were marginally lower than their male peers. Logistic regression modeling pinpointed key predictors of turnover—age < 30 (OR ≈ 3.5), contractual status (OR ≈ 3.0), commutes exceeding 90 minutes (OR ≈ 2.7), poor person‑job fit (OR ≈ 2.2), and inadequate supervisor support (OR ≈ 2.0) at p < 0.01. These results echo established microfinance sector findings emphasizing the impact of psychological capital, work pressure, and organizational support on turnover intention (Saritha & Sunitha, 2023), and reinforce the Reserve Bank of India’s warning regarding operational risk from high attrition (~25 % in private banks) due to service disruption and institutional knowledge loss. The study concludes that Jharkhand’s NBFC attrition is demographically structured and predominates in rural and underserved postings, where commute, cultural mismatch, and limited support exacerbate turnover. Strategic retention imperatives include district‑based hiring, structured onboarding, use of predictive HR analytics (Ma et al., 2024) for early‑risk identification, and gender‑ and caste‑sensitive support mechanisms—especially critical for sustaining financial inclusion in tribal and low‑income regions.