Data Analytics and AML Model Governance Expert
3 weeks ago
We are seeking a skilled Data Analytics and AML Model Governance Expert to join our team at Interactive Brokers Group, Inc. in Greenwich, CT.
This is a hybrid role with 3 days of office work and 2 days of remote work.
About the RoleThe successful candidate will be responsible for establishing and maintaining model-tuning documentation related to Money Movement rule-based and machine-learning models.
They will conduct annual testing and tuning of Money Movement model thresholds, parameters, and functionality to assess if the money laundering detection appropriately monitors risks.
The ideal candidate will have excellent analytical and problem-solving skills, as well as superb collaboration and communication skills.
They will also have experience working with Pandas and Numpy, Python, and NoSQL, as well as a strong understanding of AML regulations, Know Your Client (KYC), AML transaction monitoring, AML risk assessments, and AML systems tuning and optimization.
Responsibilities- Establish and maintain model-tuning documentation related to Money Movement rule-based and machine-learning models.
- Conduct annual testing and tuning of Money Movement model thresholds, parameters, and functionality.
- Conduct beta testing of all models and changes before they are deployed to production.
- Actively follow regulatory trends and discuss appropriate changes with the global head.
- Recommend design changes to money movement reports to ensure gap coverage.
- Perform AML Coverage Analysis against regulatory red flags to identify gaps within the current program framework and controls.
- Lead and organize global meetings with regional compliance stakeholders to share observations and changes.
- Performing data quality assessment of key model variables used in rule-based model logic and a machine-learning model.
- Assist in the implementation of monitoring related model projects.
- Bachelor's or master's degree in mathematics, operations research, or a related quantitative field.
- Five years of modeling experience focusing on AML transaction monitoring and KYC.
- Five years of experience working with AML regulations, Know Your Client (KYC), AML transaction monitoring, AML risk assessments, and AML systems tuning and optimization.
- Five years of experience with machine learning analyses, including linear/logistic regression, clustering, and decision trees.
- Two years of experience working with Pandas and Numpy.
- Two years of programming experience with Python and NoSQL.
- Competitive salary: $120,000 - $180,000 per year.
- Annual performance-based bonus and stock grant.
- Retirement plan 401(k) with a competitive company match.
- Excellent health and wellness benefits, including medical, dental, and vision benefits and company-paid medical healthcare premium.
- Wellness screenings and assessments, health coaches, and counseling services through an Employee Assistance Program (EAP).
- Paid time off and a generous parental leave policy.
- Daily company lunch allowance provided, and a fully stocked kitchen with healthy options for breakfast and snack.
- Corporate events, including team outings, dinners, volunteer activities, and company sports teams.
- Education reimbursement and learning opportunities.
- Modern offices with multi-monitor setups.
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