Model Governance Senior Analyst at Interactive Brokers

Interactive Brokers is seeking a Model Governance Senior Analyst to join their global Model Governance and Analytics team. This role is based in the Chicago office and is a hybrid position, requiring three days in the office and two days remote. The Model Governance Senior Analyst will be responsible for maintaining and executing the firm's model governance framework, ensuring compliance with relevant laws and regulations.

The ideal candidate will possess regulatory compliance experience and strong analytical and problem-solving skills. The role involves collaborating with key stakeholders and contributing to the effective governance and oversight of model processes.

Responsibilities:

• Develop independent codes and programs to conduct above-the-line (ATL) and below-the-line (BTL) tuning on AML and Trade Surveillance models.
• Design efficient programming logic to conduct performance testing on existing machine learning (ML) and artificial intelligence (AI) models focused on model precision, recall, F-measure, and sensitivity.
• Validate algorithm and programming logic in Python, SQL, or Java.
• Develop codes and scripts in Python and SQL to perform quantitative risk based analysis on financial crime data and data quality testing under the guidance of manager.
• Build software prototypes for detecting money laundering and trade manipulation risks by using python and SQL.
• Conduct design analysis on transaction and trade manipulation monitoring systems.
• Perform user acceptance testing on software prototypes to assess performance and feasibility of the software implementation.
• When required, conduct independent development of AI/ML and other models as part of validation or internal research.
• Create and maintain documentation on tuning reports, tuning schedules, and data analyses.
• Review ML/AI model documentation against governance procedures and regulatory expectations as part of testing and tuning.
• Develop and update model tuning plans.
• Upkeep the model governance framework and all supporting documentation.
• Participate in meetings with key model governance and other regional leadership stakeholders to ensure the effective governance and oversight of model identification, development, use, and evaluation processes.
• Assess model documentation, including development, monitoring, and implementation documentation, for completeness against program standards and templates.

Requirements:

• Quantitative bachelor's degree (i.e., computer science, physics, mathematics or engineering)
• 3+ years of hands-on experience in programming and/or ML/AI implementation, including K-means clustering, regressions, large language models (LLM), decision trees, and random forest
• Basic knowledge of prompt engineering for LLM model development and validation
• Intermediate level of programming: Python, No-SQL, XML, and SQL (Oracle)
• Intermediate level of understanding in ML/AI concepts, which includes model algorithms, feature importance, precision, recall, F-measure, and sensitivity analysis
• Ability to debug codes in Python, SQL and Java to perform peer review of code files
• Basic knowledge of Java and Python packages (Scikit-learn, Plotly, Catboost, Seaborn)
• Basic use of Linux, Confluence, Jira and code central repository control (e.g., Bitbucket and Github)
• Ability to work independently and as a team contributor to effectively prioritize tasks in a fast-paced environment
• Ability to communicate technical context to non-technical audience

Interactive Brokers offers:

• Competitive salary, 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 a company-paid medical healthcare premium
• 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
• Education reimbursement and learning opportunities