Remote Credit Risk Analytics & Reporting Lead

Financeroles; New York (NY); Remote; USD 100,000 - 140,000; Full time

Job summary

Financeroles is seeking a senior client-facing leader to transform credit risk reporting for a top US banking client across consumer lending (secured and unsecured). You will blend risk analytics with delivery leadership of a large-scale reporting automation program, working remotely from the US.

You will build and maintain scalable data pipelines, warehouses, and lakes for analytics; own the engagement with senior risk stakeholders; drive the program roadmap, ensure correct business logic, and

Qualifications

• Min. 4 years of consumer credit risk analytics experience at a bank or consumer lender, spanning portfolio analytics, credit strategy, performance reporting and risk appetite frameworks.
• Proven ability to present and defend risk positions with senior stakeholders.
• SQL (mandatory) / Python proficiency preferred.
• Familiarity with modern data environments (Databricks/Snowflake) and experience guiding reporting automation or analytics modernization preferred.

Responsibilities

• Portfolio performance analytics and risk insight: analyze credit performance across consumer book, identify trends, drivers of delinquency and loss movements, and relate to risk appetite.
• Lead the reporting automation program: manage end-to-end automation of risk reporting suite, prioritise build, ensure correct business logic, and own validation of outputs.
• Own client engagement: manage senior risk stakeholders, drive program roadmap, and be accountable for delivery.

Tools

SQL

Python

Databricks

Snowflake

Job description

Financeroles is seeking a senior client-facing leader to transform credit risk reporting for a top US banking client across consumer lending (secured and unsecured). You will blend risk analytics with delivery leadership of a large-scale reporting automation program, working remotely from the US.

You will build and maintain scalable data pipelines, warehouses, and lakes for analytics; own the engagement with senior risk stakeholders; drive the program roadmap, ensure correct business logic, and