Financial Crime Model and Data Specialist
Financial Crime Model and Data Specialist,
About ONE
Today, people are getting by instead of getting ahead. Most use 5-7 apps to manage their financial lives, leaving them feeling disconnected from their money – and stressed. Moreover, 2 out of 3 people have no emergency savings and pay over $250 in overdraft fees each year.
We’re building simple solutions to help you achieve balance in how you spend, save, and grow your money — all in one place. And we’re just getting started. ONE is backed by Walmart and Ribbit Capital.
Join our passionate and talented team!
The role
We are seeking a Model and Data Specialist to contribute to our Financial Crime Compliance program’s model governance and analytics initiatives. In applying your various data analysis techniques, you will impact the sustainability and scalability in optimizing for efficiency and effectiveness, covering all financial crime models including the areas of Anti-Money Laundering (AML), Bank Secrecy Act (BSA) and Office of Foreign Assets Control (OFAC). This role involves close collaborations with highly technical colleagues in financial crime compliance, fraud, data science and engineering at ONE.
Systems and Analytics Support:
Hands on support of transaction monitoring system tuning and testing
Perform and analyze in-depth lookback results of financial crime efficacy data including ATL/BTL testing
Utilizing data queries and analysis, provide insights of observed ML/TF typologies and trends to identify potential areas of risk
Identify and develop KRI and KPI metric reporting of BSA/AML program risks
Develop and support BSA/AML/OFAC system reconciliations and data validations
Collaborate with data science, (risk) product, fraud, and compliance cross-functional areas in executing your work product
Model Administration Support:
Assist with administration of BSA/AML/OFAC model governance program efforts; model & data validation; efficacy tests, model procedures and log maintenance; capacity planning; and providing system training to analysts
Contribute to build strong culture of compliance across the company
This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group.
You bring
Working knowledge of AML model management best practices
3+ years of relevant experience in BSA, AML, OFAC compliance, supporting B2C products at a financial institution, consultancy, fintech or regulatory agency; focus on electronic banking, payments and card transactions a plus
2+ years of relevant experience in reporting, model management, statistics, or data analysis
Strong data extraction experience utilizing SQL, Python and other database languages
Past experience building and maintaining reports in Databricks, Looker, BigQuery and similar business intelligence software
Strong analytics experience with ability to tie disparate data to effectively convey conclusive results of financial crime monitoring activities
Past experiences in various AML alert-to-SAR roles a plus
Look-back, back-testing, statistical analysis experience a plus
Self-starter, able to anticipate management needs, and comfortable working in a dynamic environment
Meticulously organized with ability to successfully manage disparate assignments in parallel
Results-oriented and analytical, with ability to work independently and adaptively, to anticipate and mitigate friction points, and to take action to promptly resolve and learn from challenges
Ability to work closely and communicate effectively with colleagues in all functions at all levels who are working remotely
Skilled in both written and verbal communications with all levels of an organization
CAMS or current candidacy a plus
Working @ ONE
Join us! We hire talented people across the US (remote) and near our collaborative work spaces in New York (Tribeca), Sacramento, Oakland, and San Francisco. Everyone’s work preferences are different but here's what's true across all of our teams: we ruthlessly prioritize, we work asynchronously (meetings are a last resort), and we’re excited about starting small over perfect.
Competitive cash (we don’t discount based on location)
Benefits effective on day one
Early access to a high potential, high growth fintech
Generous stock option packages in an early-stage startup
Remote friendly (anywhere in the US) and office friendly (you pick the schedule)
Flexible time off programs
Inclusion & Belonging
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us. Email talent@one.app with any questions.
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