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Remote Quantitative Model Engineer

July 22, 2026

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.

Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field
Strong programming proficiency in Python
Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance
Domain expertise in at least one of:
- Large-scale financial data analysis (orders, trades, market data)
- Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.)
- Regulatory-driven feature engineering

Communication excellence in explaining complex surveillance concepts to diverse stakeholders.

Good to haves:

Regulatory background at the SEC, FINRA, or major securities exchanges
Advanced degree in a quantitative discipline
Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost)
Deep understanding of market microstructure and trading strategies
Specialized knowledge in AML and market manipulation typologies

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 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 is 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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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

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This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...