高级数据科学家
Senior Data Scientist
员工申请者隐私通知
我们是谁：
与我们一同塑造更光明的财务未来。
与我们的会员一起，我们正在改变人们思考和与个人财务互动的方式。
我们是一家新一代金融服务公司和国家银行，利用创新的、以移动设备为主的科技，帮助数百万会员实现他们的目标。行业正在经历前所未有的变革，而我们正处于最前沿。我们自豪地每天来到工作岗位，因为我们知道我们的工作对人们的生活有直接影响，我们的核心价值观始终指引着我们每一步。加入我们，投资你自己、你的职业生涯以及金融世界。
职位描述：
合规高级数据科学家将负责协助反洗钱合规项目，包括模型开发、模型优化、模型验证、管理信息报告、反洗钱系统集成、反洗钱数据基础设施和反洗钱数据架构，以有效打击金融犯罪。此外，该职位还将支持反洗钱治理计划，包括风险评估和内部/外部查询。
你将负责：
- 推动反洗钱模型的开发、实施、优化、评估和验证，涵盖基于风险的客户筛查、交易筛查、交易监控和反洗钱客户风险评级，覆盖多个产品线，包括银行、证券经纪和贷款，以确保企业范围内的良好风险覆盖
- 维护、测试和配置反洗钱供应商解决方案，以确保概念上合理的设计、正确的实施和可接受的模型性能
- 研究、整理和评估大量数据，以评估其质量、完整性和完整性，确定其是否适合反洗钱模型开发
- 设计并领导使用机器学习和统计建模方法的先进反洗钱模型架构，适用于监督和非监督学习
- 在选择模型架构、算法、第三方库和开发流程时保持灵活性，前提是它们符合项目目标和组织要求
- 确保反洗钱合规和监管要求嵌入到模型设计中
- 记录建模方法、数据来源、假设和验证结果
- 领导整个反洗钱模型生命周期中的治理和质量控制，包括代码审查、验证等
查看英文原文
[**Employee Applicant Privacy Notice**](https://www.sofi.com/sofi-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 Compliance Senior Data Scientist will be responsible for assisting the Anti-Money Laundering Compliance 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:**
- 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.
**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, 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.
**Nice to Have:**
- 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](https://sofietyinfo.sofi.com/sofi-benefits)** 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](https://dol.ny.gov/system/files/documents/2022/02/ls740_1.pdf)
##### 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.](mailto:accommodations@sofi.com)
##### We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico 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.