Threat Intelligence: AML Investigation Support

Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The role:

The Threat Intelligence: AML Investigation Support role will be responsible for contributing to complex investigations 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 support complex and special investigations using data and quantitative methods. 

What you’ll do:

• Provide investigative support and conduct AML threat detection utilizing analytical methods and tools covering multiple product lines, including banking, brokerage and lending to ensure sound risk coverage across the enterprise.

• Build data models, tools, and reporting to support these special investigations. 

• Apply investigative techniques used in law enforcement or military intelligence to financial crime cases, strengthening the ability to identify money laundering, terrorist financing, and other illicit transactions.

• Perform ad hoc data pulls and complex data analysis to support investigations into suspicious activities and financial crime cases.

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

• Provide actionable intelligence to investigators, aiding in the identification of potential money laundering activities, terrorist financing, and other illicit financial transactions.

• Collaborate with law enforcement agencies, regulatory bodies, and government organizations to share intelligence, enhance AML investigation tactics, and align with national security objectives.

• Contribute to the continuous optimization of the AML program by identifying opportunities for improvement in processes, tools, and workflows.

• Explore and implement new analytic tools and technologies (e.g., machine learning, artificial intelligence, large language models) to enhance the detection and prevention of money laundering activities.

• Work with technical teams to integrate new analytical techniques into existing systems, improving efficiency and predictive capabilities.

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

• Develop reports and presentations on threat intelligence findings, ensuring that they are clear, actionable, and tailored to different audiences, including senior leadership and regulatory bodies.

 

What you’ll need:

• Bachelor’s Degree or Master’s Degree in Criminal Justice, Law Enforcement, Intelligence Studies, 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. 

• Experience working with law enforcement, government agencies, military intelligence units, or national security teams in an investigative or analytical capacity.

• Understanding of law enforcement intelligence-gathering methodologies and their application to financial crime investigations.

• Familiarity with Suspicious Activity Reporting (SAR) writing, case management systems, and regulatory requirements for AML investigations.

• 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.

• Experience analyzing illicit financial activity related to human trafficking, drug smuggling, fraud schemes, terrorist financing, or organized crime.

• 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.