Indicina offers technology solutions to empower businesses to offer credit to customers faster, more securely and at scale. Indicina is not a lender and does not offer loans to customers.
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Optimizing ETL processes: Assemble large, complex data sets to undertake a wide range analyses that answer a variety of questions
Data architecture: Design data schema and partner with engineering teams to implement high-perf views, including cloud-based workflows in R and Python
Work closely with Data Scientists to optimize and reengineer model code to be modular, efficient and scalable, and to deploy models to production.
Configure, deploy, manage, and document data extraction, transformation, enrichment, and governance process in cloud data platforms, including AWS
Build visualizations to help derive meaningful insights from data.
Partner with data scientists, PMs, engineers and business stakeholders to understand business and technical requirements, plan and execute projects, and communicate status, risks and issues.
Perform root cause analysis of system and data issues and develop solutions as required. Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions
Manage CI/CD pipelines for developed services
Product analytics: Exploratory analysis and answer questions at various levels of product development
Requirement
Candidates should possess a Bachelor's Degree qualification.
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