Senior Model Jobs in Bothell, WA (NOW HIRING)

Job Summary:
SoFi is a next-generation financial services company and national bank that is transforming personal finance through innovative technology. The Compliance Senior Data Scientist will assist the Anti-Money Laundering Compliance program by developing and optimizing models, ensuring compliance with regulatory requirements, and leading governance initiatives to combat financial crime.
Responsibilities:
• Facilitate AML model development, implementation, optimization, assessment and validation of risk-based customer screening, transaction screening, transaction monitoring and AML customer risk rating covering multiple product lines, including banking, brokerage and lending to ensure sound risk coverage across the enterprise.
• Maintain, test and configure AML vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance.
• Research, compile and evaluate large sets of data to assess quality, integrity and completeness to determine suitability for AML model development.
• Architect and lead the design of advanced AML models utilizing machine learning and statistical modeling methods for supervised and unsupervised learning.
• Exercise flexibility in selecting model architectures, algorithms, third-party libraries, and development workflows, provided they align with project objectives and organizational requirements.
• Ensure AML compliance and regulatory requirements are embedded in the model design.
• Document modeling methodology, data sources, assumptions, and validation results.
• Lead governance and quality control across the full AML model lifecycle including code reviews, validation of methodology, input data integrity, and performance metrics.
• Ensure adherence to the organization’s established ML framework, coding conventions, documentation standards, and model risk management policies, embedding AML compliance and regulatory requirements into design and deployment.
• Oversee documentation and review processes for internal model validation, external regulatory examinations, and cross-functional approvals, while supporting resolution of development blockers and coordinating with key stakeholders.
• Develop governance documentation related to tuning efforts, parameter changes and data validation for AML transaction monitoring to ensure a comprehensive audit trail is maintained.
• Track and report results of tuning and optimization activities and model performance to senior management.
• Develop robust management information dashboards displaying real-time or near real-time AML metrics.
• Partner with and advise the AML Governance Unit by providing necessary data for AML Risk Assessments, internal/external audit examinations and other regulatory requirements.
Qualifications:
Required:
• Bachelor’s Degree or Master’s Degree in Statistics, Computer Science, Mathematics, Finance, Computer Science, Engineering or other relevant areas.
• 3+ years of experience in the finance industry focusing on BSA/AML, OFAC, or fraud modeling/analytics.
• Statistical/data analytical skills, including data quality validation, and predictive modeling experience in SQL and Python.
• Knowledge of and ability to leverage traditional databases, cloud-based computing, and distributed computing.
• Track record of leading AML governance-related initiatives, such as risk Assessments, Internal/external Audits And Other Regulatory Requirements.
• Demonstrated ability to communicate effectively with all levels of the organization and across different business lines.
Preferred:
• Knowledge of AML regulations and the USA PATRIOT Act.
• Familiarity with regulatory guidance on Model Risk Management (Federal Reserve SR Letter 11-7, OCC Bulletin 2011-12, FDIC FIL 22-2017, DFS504)
• Experience with data visualization (e.g., Tableau)
• Experience with data monitoring systems (e.g., DataDog, Monte Carlo)
• Experience with cloud data infrastructure (e.g., Snowflake)
• Experience with automated transaction monitoring (e.g., Verafin)
• Experience with customer/transaction screening (e.g., LexisNexis)
• Experience with infrastructure automation software (e.g., Terraform)
• Familiarity with virtualization and containerization (e.g., Docker)
• Familiarity with container orchestration (e.g., Kubernetes)
• CAMS certification preferred
Company:
SoFi is a finance company that offers a range of lending and wealth management services. Founded in 2011, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.