Threat Intelligence: AML Risk and Model Oversight

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The role

The Threat Intelligence: AML risk and model oversight role will be responsible for enhancing typology coverage assessments and optimizing the AML program through cutting-edge analytic tools and techniques. In this position, you will support the AML department by conducting in-depth data analysis, pulling key insights, and leveraging advanced technologies to drive efficiency and improve threat detection capabilities. Additionally, you will be responsible for developing comprehensive documentation and compliance reports to support regulatory requirements and internal oversight.

What you’ll do:

• Conduct regular independent typology coverage risk assessments to understand current and future threats and inform AML Model Management. 

• Assess and prioritize new typologies based on emerging trends and regulatory developments.

• Work closely with the Model Management team to provide independent oversight. 

• Develop and maintain risk assessment frameworks for evaluating AML typologies.

• Ensure that models are updated to reflect emerging typologies and high-risk behaviors.

• Design proactive detection strategies to identify new patterns of illicit behavior early.

• Report on typology risks and make recommendations for system improvements or new models to address evolving threats.

• Build experimental models utilizing machine learning and statistical modeling methods for supervised and unsupervised learning.

• Use advanced data mining techniques to identify patterns, anomalies, and potential red flags across large datasets.

• Provide regular updates on threat intelligence findings, ensuring all stakeholders are aware of the evolving risks and necessary responses.

• Develop production-level reports and executive summaries reviewed by upper-level management, regulatory bodies, and auditors to support decision-making and risk assessment.

• Ensure AML documentation is regularly updated and effectively communicated to relevant stakeholders, including compliance teams and senior leadership.

• Support regulatory exams and audits by providing documentation, analytical findings, and compliance reports as required.

 

What you’ll need:

• Bachelor’s Degree or Master’s Degree in Statistics, Computer Science, Mathematics, Finance, Engineering, or other relevant fields.

• 7+ years of experience in the finance industry focusing on BSA/AML, OFAC, or fraud modeling/analytics, with a demonstrated ability to produce high-quality reports and compliance documentation.

• Experience producing production-level reports reviewed by senior management and regulatory bodies, with a strong ability to translate data-driven insights into actionable intelligence.

• Experience drafting and implementing compliance documentation, including regulatory reports, model validation documentation, and policy guidelines.

• Statistical/data analytical skills, including data quality validation, and predictive modeling experience in SQL, R and/or Python. 

• Knowledge of and ability to leverage traditional databases, cloud-based computing, and distributed computing. 

• Proficiency in data analysis and investigative tools, with experience pulling, analyzing, and visualizing large datasets from various sources.

• Strong problem-solving skills, with the ability to distill complex data into clear, actionable intelligence.

• Excellent written and verbal communication skills, with the ability to present findings and insights to both technical and non-technical stakeholders.

• A proactive approach to learning and staying up-to-date on industry trends, emerging threats, and innovative technologies.

• 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 cloud data infrastructure  (e.g., Snowflake)

• Experience with automated transaction monitoring (e.g., Verafin)

• Experience with customer/transaction screening (e.g., LexisNexis)

• CAMS certification preferred

Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

The Company hires the best qualified candidate for the job, without regard to protected characteristics.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

New York applicants: Notice of Employee Rights

SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.

Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.