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Supports the Talent Acquisition team by sourcing candidates, developing talent pipelines, scheduling interviews, coordinating with candidates and hiring managers, managing job postings in the ATS and career platforms, and assisting with background and reference checks. The intern will also shadow recruitment screens and intake meetings while gaining practical recruitment experience.

Lead development and optimization of credit risk policies, monitor and analyze loan portfolio performance, collaborate with data and operations teams to balance growth and asset quality, propose risk mitigations, support credit forecasting and provisioning, and present actionable insights to senior management.

Perform market and competitor research, build financial models and trackers, analyze P&L and performance drivers, create executive-ready slides and visualizations, and support senior leadership with ad hoc strategic analyses.

Lead growth marketing strategies to drive user acquisition and engagement for digital products, overseeing campaign execution and collaboration across teams, using data-driven insights for performance improvements.

Oversee engineering teams, manage software development projects, ensure system performance, hire engineers, and implement innovative technologies for scalable solutions.

Lead fraud risk analytics initiatives by establishing frameworks, developing detection algorithms, and collaborating across teams to mitigate digital lending risks.

Leads high-volume, end-to-end recruitment for field employees across South Sumatera. Builds talent pipelines through job portals, referrals, job fairs, and community outreach; partners with branch leaders to meet hiring targets; manages onboarding and employee administration; ensures labor-regulation compliance; supports People and Culture initiatives; handles employee relations; and reports recruitment progress to stakeholders.

Manage financial records and month-/year-end closings for lending entities, perform reconciliations, support ECL/impairment and audit processes, prepare financial reports, and improve accounting controls and automation.

Design, build, and operate high-performance Go backend services for underwriting, credit scoring, and loan decisioning. Integrate models, rule engines, and third-party data; ensure scalable, auditable, low-latency decision pipelines; improve reliability and observability; collaborate with ML, risk, product, and data teams; lead technical design, mentoring, and incident response.

Design, productionize, and monitor ML models for credit scoring, underwriting, fraud detection, collections, and portfolio risk. Build features, address imbalance and drift, deploy and maintain pipelines, measure business impact, document models, and collaborate with engineering, risk, and product teams. Explore practical LLM and agentic-AI use cases.