Position
Interactive Brokers Group has been consistently at the forefront of trading innovation, starting with the invention of the first floor-based handheld computer in 1983. We pride ourselves on being primarily a technology company and challenging the status quo. We push boundaries to offer our clients the best trading platform with the most sophisticated features at the lowest cost. Software development is the lifeblood of our firm, and it shows in our stellar brokerage platform. Interactive Brokers is regularly recognized as a leader in the financial services industry.
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 to assess if the money laundering detection appropriately monitors risks.
- 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.
- Perform data quality assessment of key model variables used in rule-based model logic and a machine learning model to check the suitability and efficiency of the model design.
- Assist in the implementation of monitoring related model projects.
- Assist in creating model change documentation and coordinate with group head and stakeholders on Business Requirements and Impact Analysis project approvals.
Qualifications, Skills & Attributes
Minimum qualifications:
- Bachelor's or master's degree in mathematics, operations research, or a related quantitative field.
- Three+ years of modeling experience focusing on AML transaction monitoring and KYC.
- Three+ years of experience working with AML regulations, Know Your Client (KYC), AML transaction monitoring, AML risk assessments and AML systems tuning and optimization.
- Three+ 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.
To be successful in this position, you will have the following:
- Self-motivated and able to handle tasks with minimal supervision.
- Superb analytical and problem-solving skills.
- Excellent collaboration and communication (Verbal and written) skills.
- Outstanding organizational and time management skills.
Company Benefits & Perks
- Discretionary annual bonus (cash and stock)
- Private healthcare insurance
- Free recreational pass (AYCM XL package)
- Daily food allowance in the office
- Monthly BKK pass
- Hybrid way of working (2 days home office/week)
- Modern office in the heart of Budapest with free amenities
- Great atmosphere with friendly and exceptional colleagues and frequent company outings.
