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You will build and maintain production software that translates financial risk methodologies into reliable scoring systems. This role involves collaborating with quantitative analysts to ensure scoring integrity and improving system performance as data volumes grow.
Build and maintain production software that translates financial risk methodologies into reliable customer-facing scores. You will partner with financial engineering and quantitative analysis colleagues, taking ownership of scoring integrity and helping strengthen analytics across the product.
Implement and maintain production code for risk scoring and related calculations.
Translate written methodologies into code and raise questions when requirements are ambiguous.
Ensure scoring runs are repeatable and safe to rerun after failures.
Improve the performance of scoring systems as portfolio and security volumes grow.
Contribute to flexible, modular calculation and analytics libraries used by other teams.
Build a reference-set validation harness that compares system output with adjudicated results, and integrate it into CI.
Report validation coverage and model drift in a useful, actionable format.
Maintain production engineering standards, including tests, CI, and code review.
Senior-level experience, typically 5 to 10 or more years, carrying production systems through implementation and maintenance.
A background in computer science, mathematics, engineering, another technical or scientific field, or equivalent demonstrated experience.
Experience building golden-data or reference-set validation beyond unit testing.
Ability to work across analytical areas and collaborate with financial engineering and quantitative analysis partners.
Compensation is $4,000 to $8,000 USD. Visa sponsorship is not available.
Remote within Latin America.
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