Head of Data Analytics & Science
- Salary not listed
- Remote-friendly · fits your timezone
- Posted yesterday · via Himalayas
Full Description
Roles & ResponsibilitiesStrategic Leadership• Define and own BukuWarung's data strategy across payments, credit, fraud, and merchant growth • Embed analytics into GTM planning, channel performance (OTS, Digital, Partnerships), and executive decision-making • Be a credible partner to the management team & business heads - translating data into capital allocation and product prioritization decisions • Drive BukuWarung's roadmap toward a unified data infrastructure that consolidates all distribution channels and operations into a single internal system Credit Underwriting & BukuModal• Build proprietary MSME credit scoring models leveraging BukuWarung's payments transaction data, device usage patterns, merchant behavioral signals, and external alternative data sources • Develop thin-file and no-file underwriting approaches suited to Indonesia's informal merchant economy • Partner with BukuModal's lending team to define risk appetite, portfolio monitoring, and early warning systems for credit deterioration • Build models that improve approval rates while managing NPL - demonstrating that financial inclusion and credit discipline are not in tension Fraud, Risk & Trust• Design a near-real-time fraud detection engine across BukuWarung's payments channels: covering EDC/POS, QRIS soundboxes, and digital payment flows • Build risk models for merchant onboarding, transaction monitoring, and dispute resolution • Define intervention logic: when to flag, step up, block, or escalate - tuned to the risk tolerance and unit economics of each merchant segment • Partner with Operations to reduce manual reconciliation and investigation overhead through automated risk signals Payments & Hardware Analytics• Build analytics to track EDC and Bukupe QRIS device activation rates, transaction velocity post-activation, and device-level lifetime value • Identify leading indicators of merchant churn or device dormancy - enabling proactive field intervention before revenue is lost • Support Operations with data-driven visibility into channel performance, partner fulfillment SLAs, and logistics efficiency (Shipper and 3PL tracking, kit dispatch timelines, serial mapping accuracy) • Help build the business case for owning a Jakarta warehouse by modeling cost, control, and speed trade-offs vs. Roles & Responsibilities Strategic Leadership Define and own BukuWarung 's data strategy across payments, credit, fraud, and merchant growth Embed analytics into GTM planning, channel performance (OTS, Digital, Partnerships), and executive decision-making Be a credible partner to the management team & business heads - translating data into capital allocation and product prioritization decisions Drive BukuWarung 's roadmap toward a unified data infrastructure that consolidates all distribution channels and operations into a single internal system Credit Underwriting & BukuModal Build proprietary MSME credit scoring models leveraging BukuWarung 's payments transaction data, device usage patterns, merchant behavioral signals, and external alternative data sources Develop thin-file and no-file underwriting approaches suited to Indonesia's informal merchant economy Partner with BukuModal's lending team to define risk appetite, portfolio monitoring, and early warning systems for credit deterioration Build models that improve approval rates while managing NPL - demonstrating that financial inclusion and credit discipline are not in tension Fraud, Risk & Trust Design a near-real-time fraud detection engine across BukuWarung 's payments channels: covering EDC/POS, QRIS soundboxes, and digital payment flows Build risk models for merchant onboarding, transaction monitoring, and dispute resolution Define intervention logic: when to flag, step up, block, or escalate - tuned to the risk tolerance and unit economics of each merchant segment Partner with Operations to reduce manual reconciliation and investigation overhead through automated risk signals Payments & Hardware Analytics Buil
Why This Role?
Bergabung dengan BukuWarung untuk mempengaruhi strategi data di berbagai bidang penting dan membangun sistem yang mendukung pertumbuhan pedagang.
Key Responsibilities
- Mengembangkan strategi data untuk pembayaran, kredit, penipuan, dan pertumbuhan pedagang
- Memasukkan analisis data ke dalam rencana pemasaran dan keputusan eksekutif
- Membangun model kredit untuk pedagang kecil dan menengah
- Membangun sistem deteksi penipuan di berbagai saluran pembayaran
- Mengidentifikasi indikator awal churn atau kelemahan perangkat
- Membantu operasi dengan visibilitas data terhadap kinerja saluran dan efisiensi logistik
Requirements
- Pengalaman dalam strategi data dan analisis
- Kemampuan membangun model kredit dan deteksi penipuan
- Pengalaman dalam analisis data pembayaran dan perangkat keras
- Kemampuan berkomunikasi dengan tim manajemen dan kepala bisnis
- Pengalaman dalam mengembangkan infrastruktur data
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from HimalayasShow more
Original description from Himalayas
Roles & ResponsibilitiesStrategic Leadership• Define and own BukuWarung's data strategy across payments, credit, fraud, and merchant growth • Embed analytics into GTM planning, channel performance (OTS, Digital, Partnerships), and executive decision-making • Be a credible partner to the management team & business heads - translating data into capital allocation and product prioritization decisions • Drive BukuWarung's roadmap toward a unified data infrastructure that consolidates all distribution channels and operations into a single internal system Credit Underwriting & BukuModal• Build proprietary MSME credit scoring models leveraging BukuWarung's payments transaction data, device usage patterns, merchant behavioral signals, and external alternative data sources • Develop thin-file and no-file underwriting approaches suited to Indonesia's informal merchant economy • Partner with BukuModal's lending team to define risk appetite, portfolio monitoring, and early warning systems for credit deterioration • Build models that improve approval rates while managing NPL - demonstrating that financial inclusion and credit discipline are not in tension Fraud, Risk & Trust• Design a near-real-time fraud detection engine across BukuWarung's payments channels: covering EDC/POS, QRIS soundboxes, and digital payment flows • Build risk models for merchant onboarding, transaction monitoring, and dispute resolution • Define intervention logic: when to flag, step up, block, or escalate - tuned to the risk tolerance and unit economics of each merchant segment • Partner with Operations to reduce manual reconciliation and investigation overhead through automated risk signals Payments & Hardware Analytics• Build analytics to track EDC and Bukupe QRIS device activation rates, transaction velocity post-activation, and device-level lifetime value • Identify leading indicators of merchant churn or device dormancy - enabling proactive field intervention before revenue is lost • Support Operations with data-driven visibility into channel performance, partner fulfillment SLAs, and logistics efficiency (Shipper and 3PL tracking, kit dispatch timelines, serial mapping accuracy) • Help build the business case for owning a Jakarta warehouse by modeling cost, control, and speed trade-offs vs. Roles & Responsibilities Strategic Leadership Define and own BukuWarung 's data strategy across payments, credit, fraud, and merchant growth Embed analytics into GTM planning, channel performance (OTS, Digital, Partnerships), and executive decision-making Be a credible partner to the management team & business heads - translating data into capital allocation and product prioritization decisions Drive BukuWarung 's roadmap toward a unified data infrastructure that consolidates all distribution channels and operations into a single internal system Credit Underwriting & BukuModal Build proprietary MSME credit scoring models leveraging BukuWarung 's payments transaction data, device usage patterns, merchant behavioral signals, and external alternative data sources Develop thin-file and no-file underwriting approaches suited to Indonesia's informal merchant economy Partner with BukuModal's lending team to define risk appetite, portfolio monitoring, and early warning systems for credit deterioration Build models that improve approval rates while managing NPL - demonstrating that financial inclusion and credit discipline are not in tension Fraud, Risk & Trust Design a near-real-time fraud detection engine across BukuWarung 's payments channels: covering EDC/POS, QRIS soundboxes, and digital payment flows Build risk models for merchant onboarding, transaction monitoring, and dispute resolution Define intervention logic: when to flag, step up, block, or escalate - tuned to the risk tolerance and unit economics of each merchant segment Partner with Operations to reduce manual reconciliation and investigation overhead through automated risk signals Payments & Hardware Analytics Buil
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