Graduate Quant Researcher 2027 - Chicago
Maven
| Company | Maven |
| Category | Data & Analytics |
| Location | Chicago |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Entry |
| Salary | Not stated by the employer |
| Posted | 3 Aug 2026 |
| Last verified | 11 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Graduate Quant Researcher Program Chicago 2027
Maven Securities is a leading proprietary trading firm that leverages sophisticated technology and quantitative analysis to trade in global financial markets. We specialize in options and derivatives market making, where your skills can be directly applied to have a real impact.
At Maven, we believe exceptional careers are built deliberately. Our graduate program is designed for a small number of high-potential individuals each year, combining comprehensive training, real responsibility, and long-term development. We don’t hire large classes with the expectation that only a few will succeed, we invest in every individual who joins the team.
Program details:
Location: Chicago (based in London for training period)
Program start date: September 6th, 2027
Application deadline: Rolling basis
Base salary: $150,000-175,000 dependent on education and experience
You’ll begin with a structured 7-week training program in London, designed to prepare you for a career in quantitative research. This initial phase focuses on building the technical foundations and professional skills needed for the role, as well as forming crucial working relationships with your UK counterparts - both on the Graduate Program and more senior stakeholders.
Following training, you’ll return to Chicago and roll onto two project rotations, where you’ll continue to learn through hands-on experience. Maven offers a few days of leave to support this transition, as well as travel, accommodation and relocation support.
What you will be doing:
Design, evaluate and continuously improve our automated trading algorithms
Build quantitative pricing models, for example American Option Pricing and Volatility Modeling
Research and analyze trading data to find and test trading opportunities
How and what you will learn:
Progress through a structured onboarding program with clear learning milestones
Build your foundation through theory and exercise-led training, led by Maven’s Head of Technology Training & Graduates
Learn about financial markets, our platforms and specific quant research field for OMM, apply your academic research abilities and learn how to perform research on real-world data of varied volume and sampling frequency across a variety of domains
We will teach you how to use and master Maven’s in-house tools and systems. Maven utilizes the latest technology in order to meet and exceed our demanding business challenges
Attend regular check-ins with the Quant Researcher and Emerging Talent teams
Who you are:
Key criteria:
A Bachelor’s, Master’s or PhD student in applied mathematics, statistics, engineering or physics
Relevant programming experience in at least one language (Python, C++, C#)
Proactive interest in improving existing trading strategies and identifying new opportunities
Motivated for quantitative research, financial services and trading, with knowledge of financial markets
A willingness to adopt and utilise emerging AI technologies
We’re looking for someone who is:
An entrepreneurial thinker with the ability to generate ideas, take initiative and drive innovation
A critical problem solver and decision maker who can analyze situations, think clearly and make effective decisions
An agile learner who is able to quickly acquire knowledge, take on feedback, adapt and apply insights across different contexts
Able to synthesize information , resolve conflicting inputs, see the bigger picture, and translate complex information into actionable recommendations
Collaborative and influential , able to build trust, work effectively with others and positively impact the team
Results-focused and accountable , taking ownership and delivering outcomes reliably
Why Maven?:
Dedicated In-House Trainers: Gain the tools to succeed in a rapidly evolving m