Job Description
The AML/TS Model Tuning & Analytics Manager will be responsible for establishing and maintaining model-tuning documentation for Money Movement rule-based and machine-learning models. The role involves conducting annual testing and tuning, beta testing new models, following regulatory trends, recommending design changes, and performing AML Coverage Analysis. The manager will lead global meetings, assess data quality, and assist in model project implementation and documentation. This role requires a strong understanding of AML regulations and experience in transaction monitoring and KYC. The ideal candidate will possess excellent analytical, problem-solving, and communication skills, along with strong organizational and time management abilities.
Must Have:
- Bachelor's/master's in mathematics or a quantitative field.
- Five years of AML transaction monitoring and KYC experience.
- Five years of AML regulations and risk assessment experience.
- Five years of machine learning analyses experience.
- Two years of experience with Pandas and Numpy.
- Two years of programming experience with Python and NoSQL.
Perks:
- Discretionary annual bonus (cash and stock)
- Private healthcare insurance
- Free recreational pass
- Daily food allowance in the office
- Monthly BKK pass
- Hybrid way of working
- Modern office with free amenities
- Great atmosphere with friendly colleagues, company outings.
Company Overview
Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.
IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.
Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.
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
- Lead and organize global meetings with regional compliance stakeholders to share observations and changes.
- 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.
- 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.
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, frequent company outings.
*The benefits package will be reviewed regularly and may be subject to change.
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