Jobs at Kredivo Group

Own manual and automated testing for web services and mobile applications. Develop and execute test plans, review product and engineering requirements, identify release dependencies, validate deployments, troubleshoot production defects, improve test coverage, and implement QA best practices in collaboration with product, design, engineering, and DevOps teams.

Lead the Product Management team and own end-to-end product vision, strategy, roadmap, and execution for lending products. Collaborate with Engineering, Design, Data Science, Risk, Finance, Operations, and Business stakeholders. Mentor Product Managers, establish product standards, prioritize initiatives, oversee development and testing, analyze performance, and make data-informed decisions to optimize customer and business impact.

Manage Kredivo’s brand visibility across merchant locations by coordinating high-volume branding requests from intake through execution and closure. Responsibilities include Jira ticket management, vendor and merchant coordination, signage production and installation, documentation, quality control, budget management, and adherence to brand guidelines. The role requires strong follow-up, project coordination, communication, attention to detail, and comfort with repetitive, process-driven work across multiple cities and stakeholders.

Develops and owns end-to-end machine learning models, from ideation and prototyping through implementation. Responsibilities include building predictive models for credit scoring and recommendation engines, researching model improvements using large datasets, and advancing data science capabilities. Collaborates with analysts and machine learning engineers. Optional experience includes alternate data for credit risk and deep learning or NLP model development.

Develops and owns end-to-end machine learning models, from ideation through implementation. Responsibilities include prototyping credit-scoring and recommendation models, researching improvements using large datasets, and advancing the organization’s data science capabilities. Collaborates closely with analysts and machine learning engineers while applying quantitative, statistical, and business expertise.

Manage daily financial operations, including bank reconciliations, payments, cash receipts, transaction reporting, audit support, and preparation of operational data for accounting. Maintain banking-partner relationships, ensure processes meet deadlines and procedures, and resolve finance-operation issues promptly. Requires strong attention to detail, Excel or Microsoft Office proficiency, and at least one year of relevant experience.

Leads risk-based IT, technology, cybersecurity, payment systems, and payment operations audits. Assesses controls, regulatory compliance, resilience, fraud prevention, transaction flows, and fund settlement. Manages audit planning, fieldwork, reporting, remediation tracking, and stakeholder presentations to senior management, the board, and audit committee. Supports Bank Indonesia, ISO 27001, and PCI-DSS examinations while delivering data-driven audit insights and control improvements.

Supports Business Development and sales analytics by tracking KPIs, creating targets and incentive plans, building reports and dashboards, analyzing sales promoter and merchant performance, and delivering actionable insights. The role owns sales-related data marts, documents data assets, supports product development, and collaborates with product, engineering, data science, and sales stakeholders. Advanced SQL is mandatory, with visualization, data modeling, pipeline automation, and Python experience preferred.

Leads end-to-end content marketing strategy and execution across in-app, newsletter, push notification, social media, and website channels. Develops campaign calendars, oversees content creation and publishing, analyzes performance metrics, and identifies improvements. Collaborates with Growth, Product, Social Media, and Creative teams to deliver brand-aligned campaigns that increase engagement and support business objectives.

Develops and owns end-to-end machine learning models, from ideation and prototyping through implementation. The role focuses on credit risk, growth, predictive modeling, and improving models using large datasets. Responsibilities include collaborating with analysts and machine learning engineers, researching advanced methodologies, and contributing to data science strategy. Candidates need strong quantitative, statistical, mathematical, business, communication, and risk-domain expertise, with proficiency in Python or R and experience using relational and NoSQL data platforms.

Oversee operational process design, governance, documentation, and continuous improvement within Sales Operations. Develop and enforce SOPs, coordinate cross-functional stakeholders, identify bottlenecks, define improvement requirements, assign owners and timelines, and measure results. The role requires structured problem-solving, accountability, root-cause analysis, and effective prioritization across sales, operations, and product teams.

Supports cloud infrastructure provisioning, CI/CD pipeline maintenance, monitoring, automation, documentation, and incident response. Writes scripts for operational tasks, troubleshoots deployment and pipeline issues, executes runbook procedures, and collaborates with development and QA teams. Works under senior engineer guidance while developing expertise in DevOps tools, cloud platforms, infrastructure as code, reliability practices, and production operations.

Owns the quality charter for a technology tribe, leading 5–10 QA and SEIT engineers. Responsibilities include mentoring teams, creating test strategies and automation frameworks, defining production-readiness criteria, managing validation, analyzing incidents, establishing quality metrics, reporting to stakeholders, and aligning roadmaps, estimates, and automation strategies with engineering and product leadership.

Oversee daily automotive e-commerce transaction operations, including product listings, promotions, shipments, inventory, and operational records. Analyze sales, traffic, and KPI data to identify trends and support business decisions. Communicate new procedures to suppliers and collaborate with marketing, IT, and finance teams on e-commerce strategies. The role requires automotive account management experience, data analysis skills, Microsoft Office proficiency, strong communication, and a bachelor’s degree.

Manage and optimize HRIS platforms, including configuration, maintenance, migrations, integrations, upgrades, and data governance. Develop HR reports and dashboards, conduct data audits, analyze workforce trends, and provide actionable recommendations. Collaborate with HR and IT stakeholders, manage HRIS projects, improve processes, maintain data integrity, and handle confidential information. This is a six-month contract requiring English and Indonesian communication skills.

Build and maintain QA infrastructure, automation suites, and regression testing for web, mobile, and backend services. Design and execute test cases validating data pipelines, APIs, and platform features, collaborate with engineering and data science, troubleshoot production issues, and define QA best practices and release testing processes.

Design and execute manual and automated tests for web, mobile, and backend services. Develop/maintain automation suites, review designs, manage releases, reproduce and troubleshoot production bugs, and implement QA best practices.

Provide hands-on support and maintenance for office network infrastructure (switches, access points, firewalls). Troubleshoot connectivity and performance issues, perform root cause analysis, escalate to L2 as needed, maintain asset tracking, incident/change documentation, and communicate status to IT leadership and site stakeholders. On-site presence and occasional after-hours work required.

Lead and maintain AML/CFT/CPF program: develop policies, KYC/CDD/EDD processes, monitor transactions, perform data analysis and reporting, support audits and regulatory engagements, and advise stakeholders on compliance matters.

Own and drive the technical vision and roadmap for iOS apps. Design scalable, secure architectures, implement reusable components, troubleshoot performance bottlenecks, apply security best practices, and communicate technical decisions to stakeholders.