Top Tech Jobs & Startup Jobs

Drive strategy, development, and execution of financial and credit products. Responsibilities include market research, end-to-end feature development, requirements writing, user-flow mapping, product analysis, A/B testing, feature launches, stakeholder alignment, external integrations, and compliance reporting. The role collaborates with engineering, UX, analytics, legal, compliance, and business teams to deliver measurable product outcomes.

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.

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.