Job Url: https://job-boards.greenhouse.io/mercury/jobs/5617989004

Job Description: Here are some things you’ll do on the job:

Serve as the key data scientist for Compliance, advising on feasibility and scoping of technical solutions for internal, regulatory and banking partner requirements.
Analyze transaction, customer, and operational data to identify trends, surface anomalies, and support risk assessments.
Generate both one-off reports and dynamic dashboards to demonstrate, track, and monitor for compliance.
Build pipelines and workflows to ensure repeatable, auditable reporting outputs.
Validate and QA data used in regulatory submissions or internal reporting to ensure accuracy and completeness.
Partner with cross-functional teams, including Risk, Engineering, Product, and Legal, to understand nuances in requirements, how we implement them, and what data we generate to demonstrate our adherence.
You should have:

4+ years of experience working with and analyzing large datasets to solve problems and drive impact, with 1+ years supporting Compliance, Regulatory Reporting, or Financial Crimes teams.
Fluency in SQL and experience using it to understand and manage imperfect data.
A deep understanding of data lineage and systems of record in complex environments.
Prior experience with compliance areas like consumer compliance, BSA/AML, KYC, sanctions screening, or suspicious activity monitoring.
Exceptional attention to detail and a low tolerance for ambiguity in analytical work.
Comfort working in fast-paced, evolving environments with stakeholders of varying technical backgrounds.
Strong communication and stakeholder management skills, particularly in translating regulatory needs into data requirements.
Ideally, you also have:

Fluency in Python
Experience building scalable data pipelines and ETL processes with DBT or similar.