Quantitative Model Engineer

Job Description

Job Description

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.

This is a hybrid role (3 days in office / 2 days remote).

About Your Team :

Shape the Future of Market Integrity at Interactive Brokers.

Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem.

What will be your responsibilities within IBKR :

• Architect next-generation surveillance models to detect emerging manipulation patterns across global markets
• Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations
• Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy
• Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades)
• Evaluate model performance to optimize detection accuracy while minimizing false positives
• Document methodologies to withstand regulatory scrutiny and examination.

Which skills are required :

Attention Candidates : If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems.

Large-scale financial data analysis (orders, trades, market data)

Good to haves :

To be successful in this position, you will have the following :

Company Benefits & Perks