Job Title

We are looking for a highly skilled and experienced Data Scientist to join our team within the Data Science and Credit Risk function. This role is pivotal in ensuring the integrity, scalability, and performance of our credit risk models by developing, maintaining, and quality-controlling the input mapping and data rollup logic that powers our decisioning infrastructure.As a member of the team, you will collaborate closely with engineering, product, and integration teams to translate various data sources into standardized features used in risk models and strategies.Job Responsibilities:Own the design, development, and maintenance of data mapper and feature logic for credit bureau, core banking, internal datasets and any additional data sources in the futureEnsure accuracy, performance, and compliance through rigorous QC frameworks and automated validation tools.Collaborate with credit risk, product, engineering, and integration teams to deploy and support model and strategy features in production environments.Analyse complex datasets and derive accurate business logic in alignment with credit policy and model requirements.Mentor a team of data scientists and analysts, ensuring adherence to best practices in software engineering and data science.Contribute to data governance, documentation, and version control of the CDM and associated tooling.Preferable Requirements:Bachelor’s / master’s degree in a quantitative discipline (e.g. Engineering, Computer Science, Mathematics).1+ years of experience in Data Science/Data Engineering/AnalyticsStrong Python skills – ability to writing clean, testable, and modular codeStrong communication skills and the ability to work cross-functionally with engineers, product managers, and stakeholders.Experience in credit risk, fintech, or financial services domains.Experience working on US credit bureau data