СШАSenior Analyst, Compliance Technology
3 нед. назад
167.3k–196.8k USD / годСШАSeniorRemote
data pipelinesdata modelingtransaction monitoringkycamlscreening systems
Build and maintain data pipelines and models to support compliance detection and monitoring at scale within a financial platform.
Обязанности
- Build and maintain curated datasets and data models (e.g., case, alert, entity, transaction, and risk features) that power compliance controls across Transaction Monitoring, EDD/KYC, and Screening systems.
- Own data quality for compliance datasets by implementing validation checks, monitoring, lineage tracking, and documentation to ensure outputs are accurate, complete, and audit-ready.
- Partner with cross-functional engineering teams and Compliance stakeholders to close upstream data gaps, standardize instrumentation, and translate control requirements into scalable data structures and feature sets.
- Drive detection signal quality improvements by analyzing detection outputs, identifying opportunities to reduce non-actionable noise while protecting sensitivity, and defining success metrics for controlled rollouts.
- Execute measurement frameworks for compliance control effectiveness, including coverage, timeliness, stability, and outcome-based metrics, and build repeatable reporting pipelines consumable by Compliance leaders, operations teams, and auditors.
Условия
- Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
- Annual base salary range (excluding equity and bonus):
- $167,280 — $196,800 USD
- Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
- US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation.
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at].com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial .
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Другое
- Ready to do the most impactful work of your career? At , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at .
- We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable to meet global BSA/AML and related regulatory obligations at scale, partnering with Compliance, Product, and Engineering to ensure monitoring and investigative controls are effective, measurable, and auditable. You'll build and own end-to-end data pipelines that power compliance detection and decisioning, improving signal quality, defining control performance measurement, and creating scalable tooling that makes compliance data easier to trust and use.
- Minimum 5 years of experience in analytics engineering, data engineering, or data-heavy technical roles.
- Advanced SQL proficiency including complex transformations, performance tuning, and data quality checks.
- Experience building and maintaining ETL/ELT pipelines and data models using tools such as dbt, Airflow, or equivalent orchestration/transformation frameworks.
- Demonstrated ability to execute on ambiguous, cross-functional projects in regulated environments with clear written and verbal communication.
- Python skills applied to automation, pipeline development, and data analysis.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.