Senior Data Scientist
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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 Compliance Senior Data Scientist will be responsible for assisting the Anti-MoneyLaundering Compliance program with model development, model optimization, modelvalidation, management information reporting, AML system integration, AML datainfrastructure and AML data architecture to effectively fight financial crime. Additionally,this role will also support AML governance initiatives including risk assessments andinternal/external inquiries.
What you’ll do:- Facilitate AML model development, implementation, optimization, assessmentand validation of risk-based customer screening, transaction screening,transaction monitoring and AML customer risk rating covering multiple productlines, including banking, brokerage and lending to ensure sound risk coverageacross the enterprise.
- Maintain, test and configure AML vendor solutions to ensure conceptually sounddesign, proper implementation, and acceptable model performance.- Research, compile and evaluate large sets of data to assess quality, integrity andcompleteness to determine suitability for AML model development.- Architect and lead the design of advanced AML models utilizing machine learningand statistical modeling methods for supervised and unsupervised learning.- Exercise flexibility in selecting model architectures, algorithms, third-partylibraries, and development workflows, provided they align with project objectivesand organizational requirements.- Ensure AML compliance and regulatory requirements are embedded in themodel design.- Document modeling methodology, data sources, assumptions, and validationresults.- Lead governance and quality control across the full AML model lifecycle includingcode reviews, validation of methodology, input data integrity, and performancemetrics.- Ensure adherence to the organization’s established ML framework, codingconventions, documentation standards, and model risk management policies,embedding AML compliance and regulatory requirements into design anddeployment.
- Oversee documentation and review processes for internal model validation,external regulatory examinations, and cross-functional approvals, whilesupporting resolution of development blockers and coordinating with keystakeholders.- Develop governance documentation related to tuning efforts, parameter changesand data validation for AML transaction monitoring to ensure a comprehensiveaudit trail is maintained.- Track and report results of tuning and optimization activities and modelperformance to senior management.- Develop robust management information dashboards displaying real-time or nearreal-time AML metrics.- Partner with and advise the AML Governance Unit by providing necessary datafor AML Risk Assessments, internal/external audit examinations and otherregulatory 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.- 3+ years of experience in the finance industry focusing on BSA/AML, OFAC, orfraud modeling/analytics.- Statistical/data analytical skills, including data quality validation, and predictivemodeling experience in SQL and Python.- Knowledge of and ability to leverage traditional databases, cloud-basedcomputing, and distributed computing.- Track record of leading AML governance-related initiatives, such as riskassessments, internal/external audits and other regulatory requirements. - Demonstrated ability to communicate effectively with all levels of the organizationand across different business lines.
Nice to Have:- Knowledge of AML regulations and the USA PATRIOT Act.- Familiarity with regulatory guidance on Model Risk Management (FederalReserve 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
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 an inclusive culture. 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.
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