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Risk Data Engineer | AWS | SQL | Feature Engineering | Oka (Hiraoka's Fintech)

S/1/month
Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience levelNo experience limit
Education levelNo degree limit

Description

Job Summary: Oka, Hiraoka's fintech, is seeking a Risk Data Engineer to evolve its risk ecosystem by building solutions that enable smarter, faster, and more scalable credit decisions. Key Highlights: 1. Design, develop, and implement an automated credit decision engine. 2. Optimize data architecture for real-time decision-making using AWS. 3. Develop, validate, and monitor risk variables and signals. At **Oka**, Hiraoka's fintech, we are building a new way to experience finance: simpler, more transparent, and closer to people. We seek a **Risk Data Engineer** who wants to contribute to the evolution of our risk ecosystem by developing solutions that enable smarter, faster, and more scalable credit decisions. **What will be your key challenges?** * Design, develop, and implement the logic of the credit decision engine, transforming underwriting, risk, and pricing policies into automated, scalable rules. * Design, build, and optimize the data architecture supporting real-time decision-making using AWS services. * Design A/B testing frameworks and execute simulations (backtesting) to evaluate the impact of changes in risk strategies and policies before implementation. * Develop, validate, and monitor new variables (features) and risk signals derived from traditional and alternative data sources. * Integrate and support the implementation of risk models and business rules within the decision engine, ensuring correct execution and process monitoring. * Propose continuous improvements to decisioning architecture and capabilities aligned with the fintech’s growth. **What profile are we looking for?** * Graduate in Computer Science, Software Engineering, Systems Engineering, Statistics, or related fields. * 1–2 years of experience in technical roles within risk tech, data engineering, or decision analytics—ideally in fintech, digital banking, or data-driven product environments. * Solid hands-on experience with the AWS cloud ecosystem (S3, Athena, Glue, Lambda, and Redshift). * Advanced SQL, intermediate/advanced Python, with experience building production-grade data pipelines and business logic (not just exploratory analysis). * Familiarity with version control (Git) and experience with continuous integration and deployment (CI/CD) workflows. * Prior experience building, configuring, or interacting with decision engines (in-house or third-party solutions such as FICO, Experian, Provenir). **What do we value?** * Interest in and understanding of the credit risk lifecycle (origination, scoring, and pricing). * A mindset of continuous learning, curiosity about credit risk, and motivation to grow into more specialized roles in Risk Decisioning, Data, or Architecture. **Why join Oka?** * Hybrid work model. * Flexible vacation policy. * Birthday leave day. * Formal payroll from day one. * Exclusive Oka benefits. * Preferential rates. * Learning, growth, and professional development opportunities. * The chance to build products with real impact at a fintech backed by Hiraoka. **Apply now and become part of a team helping people regain trust in financial solutions as allies to achieve their goals.** Salary: S/.1\.00 per month Application Question(s): * Do you have experience working with AWS cloud ecosystems (S3, Athena, Glue, Lambda, and Redshift)? * What is your expected monthly salary (S/)? Work Location: Hybrid in Miraflores, Lima

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Posted by

María García

Indeed · HR

Location

María García

Indeed · HR

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