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 AML Analytics Senior Advisor will be responsible for assisting the Anti-Money Laundering Analytics program with model development, model optimization, model validation, management information reporting, AML system integration, AML data infrastructure and AML data architecture to effectively fight financial crime. Additionally, this role will also support AML governance initiatives including risk assessments and internal/external inquiries.

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.
Maintain, test and configure AML applications to ensure conceptually sound design, proper implementation, and acceptable performance.

Partner with other technical teams (e.g., developers, program managers, data analysts, etc.) tasked with delivering AML technology transformation initiatives.
Research, compile and evaluate large sets of data to be used for AML threat detection and analysis

Build experimental models utilizing machine learning and statistical modeling methods for supervised and unsupervised learning.
Act as a liaison on behalf of AML with the cyber threat intelligence and fraud fusion center SoFi teams to provide comprehensive risk coverage and proactively address potential AML risks.
Develop governance documentation related to the Threat Intelligence process ensuring a comprehensive audit trail is maintained.
Track and report results of Threat Intelligence analysis to senior management.
Develop robust management information dashboards displaying real-time or near real-time AML metrics.
Assist the AML Governance Unit by providing necessary data for AML Risk Assessments, internal/external audit examinations and other regulatory requirements.

What you’ll need:

Bachelor’s Degree or Master’s Degree in Statistics, Computer Science, Mathematics, Finance, Computer Science, Engineering or other relevant areas.
10+ 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, R and/or Python.
Knowledge of and ability to leverage traditional databases, cloud-based computing, and distributed computing.
Experience supporting AML governance-related responsibilities including 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.
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

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.

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