Senior Staff Data Scientist, SoFi
Compliance Models
$172.8-297k
This role is also eligible for a bonus and long term incentives
More information about location
Mobile & online personal finance services
Job no longer available
Mobile & online personal finance services
1001+ employees
Job no longer available
$172.8-297k
This role is also eligible for a bonus and long term incentives
More information about location
1001+ employees
Company mission
To help people reach financial independence to realize their ambitions.
Role
Who you are
- Bachelor’s Degree or Master’s Degree in Statistics, Computer Science, Mathematics, Finance, Computer Science, Engineering or other relevant areas
- 12+ 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
- 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
- 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 the job involves
- The Senior Staff Data Scientist, Compliance Models 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
- 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
Our take
SoFi started by offering ways for students to secure better financial terms on their loans, and now offers a huge range of personal finance products, including bank accounts, loans, mortgages, investment advice, and investment opportunities. Many customers find they have to go to multiple financial service providers to meet all their finance needs, but SoFi overcomes this issue by putting it all in one place.
Its goal, to cover all the financial bases, sets it apart from many of the traditional banks and even some of their digital competitors, such as Avant, which has chosen to focus on providing credit alternatives. Although it is operating in a competitive market with a lot of big players such as Monzo, Revolut, and Starling, the company has managed to raise huge amounts of funding to support its rapid expansion.
SoFi has focussed on global expansion, moving outside the US, and has made a series of acquisitions to support this - including a Hong Kong-based investment app called 8 Securities. After going public on the New York Stock Exchange via a SPAC merger in June 2021, the company has continued to evolve and release more mission-oriented services into its roster, and strengthened its lending capabilities through a $350 million post-IPO loan. To date, the company has sold over $15 billion in personal loan collateral and continues to strengthen its offering.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jan 2021
$369.9m
LATE VC
May 2019
$500m
GROWTH EQUITY VC
Total funding: $2.7bn
Company benefits
- Comprehensive health, vision, dental, life insurance, and disability benefits
- Generous vacation and holidays
- Paid parental leave for eligible employees
- 401(k) and education on retirement planning
- Tuition reimbursement on approved programs, up to $5,250 per year
- Monthly contribution up to $200 to help you pay off your student loans
- Great health & well-being benefits including: telehealth parental support, subsidized gym program
- Flexible time off
- Fertility and family planning options
- Free financial classes
Company HQ
The East Cut, San Francisco, CA
Leadership
Anthony Noto
(CEO)Graduated from the U.S. Military Academy after being a telecommunications officer and captain in the U.S. Army. Has worked as Head of Gobal Telecommunications, Media and Technology at Goldman Sachs, been the COO of Twitter, and also the CFO of the National Football League.
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