Senior Data Scientist - Compliance

Summary

Join Mercury, a financial technology company, as a Senior Data Scientist and partner with the Compliance team to ensure regulatory compliance. You will analyze data, generate reports and dashboards, build data pipelines, and validate data for accuracy. This role requires collaboration with cross-functional teams and a deep understanding of compliance areas. The position offers a competitive salary and benefits package. You will contribute to Mercury's commitment to building trustworthy financial infrastructure. This is a pivotal moment in Mercury's growth, offering a chance to work on critical challenges.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

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

Benefits

• Base salary
• Equity (stock options)
• Benefits