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You will build and maintain production software that translates financial risk methodologies into reliable, customer-facing scores. Additionally, you will contribute to modular analytics libraries and implement validation harnesses to ensure scoring integrity.
Build and maintain production software that turns financial risk methodologies into reliable, customer-facing scores. Working across engineering and financial analysis, you will own scoring integrity, strengthen validation, and help make the analytics codebase safe to change.
Implement and maintain production code for risk scoring and related calculations.
Translate documented methodologies into reliable code and raise questions when requirements are ambiguous.
Ensure scoring runs are repeatable and safe to rerun after failures.
Improve scoring performance 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 engine results with adjudicated examples.
Integrate validation into CI and report coverage and model drift clearly.
Maintain production engineering standards, including tests, code review, and CI.
5 to 10+ years of relevant experience building or supporting production systems.
A background in computer science, mathematics, engineering, another science, or equivalent demonstrated experience.
Experience building golden-data or reference-set validation beyond unit tests.
Experience with quantitative or analytical software and the judgment to investigate existing production code before changing it.
Ability to work across multiple analytical areas, not only risk scoring.
Base salary: $4,000 to $8,000 USD annually. Visa sponsorship is not available.
Remote, open to candidates in Latin America.
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