Kredit Pintar Tech Stack

Indonesian peer-to-peer lending platform with credit scoring and fraud detection

Financial Services Jakarta Selatan, DKI Jakarta 201–500 employees Founded 2017 Privately Held

Kredit Pintar operates a P2P lending marketplace serving Indonesian borrowers and investors. The tech stack—Spark, Python, Scala, Kafka-adjacent tooling (Elasticsearch, Redis), and a three-cloud strategy (AWS, Azure, GCP)—reflects a data-intensive underwriting operation. Current project focus on data warehouse construction, ETL optimization, and risk reporting automation, paired with pain points around slow decisioning and ETL costs, suggests the company is scaling from manual credit assessment toward automated, real-time scoring and compliance workflows.

Tech Stack 36 technologies

Core StackApache Spark Python Scala Tableau Java Hibernate Maven GitHub AWS Docker Kubernetes MySQL MongoDB Elasticsearch Redis Linux Figma Sketch Adobe Creative Cloud Go SQL R Spring Boot REST Azure GCP Excel TestNG pytest Groovy+6 more

What Kredit Pintar Is Building

◆Challenges

Improving code efficiency
Reducing etl costs
Process gaps
Compliance requirements
Optimizing portfolio quality
Inefficient onboarding
Slow decisioning
Post-loan servicing challenges
Inefficient collection operations
Inefficient administrative processes

▲Active Projects

Data warehouse construction for financial projects
Risk related reporting automation
Establish it governance framework
Implement automation for it operations
Data warehouses for financial projects
Optimizing etl processes
In-app community and engagement experiences
Loan product features
Design system expansion
Tax technology implementation

Hiring Activity

Minimal20 roles · 1 in 30d

Department

Engineering

Finance

Ops

Security

Data

Design

Product

Risk

Seniority

Mid

Senior

Junior

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About Kredit Pintar

Kredit Pintar is a fintech company founded in 2017 that provides short-term loan products to Indonesian consumers while enabling peer-to-peer investment. The platform handles both sides of the marketplace: borrower origination (with embedded credit scoring and fraud detection), loan servicing, and investor capital allocation. The company operates from Jakarta with approximately 201–500 employees and is currently hiring across engineering, finance, and operations, primarily within Indonesia. Active development focuses on data infrastructure (warehousing, ETL), risk automation, and IT governance—critical for regulated lending operations.

HeadquartersJakarta Selatan, DKI Jakarta

Company Size201–500 employees

Founded2017

Hiring MarketsIndonesia

Frequently Asked Questions

What tech stack does Kredit Pintar use?

Kredit Pintar runs Apache Spark, Python, Scala, Java (Spring Boot), and SQL across data and backend systems. Infrastructure spans AWS, Azure, and GCP; storage includes MySQL, MongoDB, and Elasticsearch. Visualization uses Tableau; CI/CD and containerization via Docker and Kubernetes.

What is Kredit Pintar working on?

Current projects include data warehouse construction, ETL optimization, risk and compliance reporting automation, IT governance frameworks, loan product feature development, and in-app engagement tools. Focus reflects scaling from manual underwriting to automated decisioning.