Senior Data Scientist

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

What We Do

SoFi wasn’t built to be a bank. Or a technology company. We were built for one mission: help people achieve financial independence so they can realize their ambitions. Redefining an entire industry isn’t easy work—and it’s not for the faint of heart. It takes a certain kind of team. People with diverse perspectives and expertise united by a common sense of purpose. People willing to challenge assumptions but always do the right thing. People proving that innovation and responsibility don’t have to compete but can come together to create something truly unconventional in the world. For the last eight years we’ve been charting this new path forward. We call it The SoFi Way. At SoFi we don’t just talk about culture: we live it. The SoFi Way is how we show up every day how we make decisions and how we build for our members clients and each other.

Why Work With Us

Together with our members we’re changing the way people think about and interact with personal finance. We’re a next-generation Fintech company using innovative mobile-first technology to help our members reach their goals. The industry is going through an unprecedented transformation and we’re at the forefront.

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