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Model Governance Senior Analyst

Chicago, IL

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.

 

About INTERACTIVE BROKERS!

This is a hybrid role (three days in the office/two days remote).

 

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.

 

Interactive Brokers is looking to hire a Model Governance and Risk Senior Analyst at our Chicago Office. The position has excellent growth potential for highly motivated and exceptional performers. Analysts report to a Model Governance Manager and help ensure the firm complies with regional and global anti-terrorist financing, sanctions, AML, and securities laws and regulations related to Models Governance and Risk.

 

As a senior analyst, you'll work on the global Model Governance and Analytics team, which is responsible for maintaining and executing the firm's model governance framework.

 

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.

 

The ideal candidate will have some regulatory compliance experience working for an exchange, a regulatory organization, a Broker-Dealer (BD), a Futures Commission Merchant (FCM), a Bank or a similar organization.

 

Preferred Qualifications: 

  • 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

 

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

  • 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
  • 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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