Graduate Quant Researcher 2027 - Chicago

4 нед. назад

USATraineeOnsite

quantitative analysisderivativesoptions

Graduate Quantitative Researcher program combining training and project rotations in quantitative research for financial markets.

Обязанности

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

Условия

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.

Другое

Graduate Quant Researcher Program Chicago 2027
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.
Location: Chicago (based in London for training period)
Program start date: September 6th, 2027
Application deadline: Rolling basis
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:
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
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 market, where AI is integral to our strategy and daily operations. Our tailored curriculums are led by in-house experts and cover both technical and professional skills, as well as guidance on how to adopt AI best practices
Accelerate Your Career: Every permanent colleague receives a dedicated learning and development budget, full access to our online learning platform, and frequent training sessions led by our Maven experts
Proven Pathways: Benefit from our structured pipeline programs that set you up for long-term success. Around a quarter of Maven’s workforce joined through an Emerging Talent Program, with many staying from Spring Week through the Graduate Program and beyond
Supported to Succeed: We are committed to fostering an inclusive workplace where everyone can perform at your best. We offer recruitment support where needed, and employee resource groups that help build community across the firm
Grow with Guidance: Enjoy regular feedback, structured review points, and informal off-desk chats. Everyone in our Emerging Talent Programs is also paired with a Maven buddy for practical advice and day-to-day support
Make a Real Impact, Fast: From the start of the projects, you’ll be embedded in the team and learn directly from other Quant Researchers. After this, you’ll transition onto a permanent position within the team, where you’ll continue building upon the skills taught in the program
We accept one application per candidate, per recruitment cycle
Visa sponsorship is available for selected roles, please see our FAQ page for details
Maven is an equal opportunity employer. We encourage applications from candidates of all backgrounds, and do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other basis protected by applicable law. 
Benefits at Maven
As a graduate joining Maven, you’ll be eligible for a range of benefits, including:
25 days of PTO plus US national holidays, which we encourage you to take
Private medical and dental cover, eye care support, life assurance, 401k or Roth retirement plans, and an Employee Assistance Program
Consideration for a discretionary annual bonus
An annual learning and development budget, alongside wider training and development opportunities
Wellness benefits, including free use of the building gym and access to ClassPass
Frequent social events, from welcome dinners and summer parties to company sports leagues and boat tours!
Daily breakfast in the office and a lunch allowance, plus snacks and drinks throughout the day
Enhanced family-friendly policies, including maternity, paternity, adoption, fertility and partner’s leave
Work in a forward-thinking environment where AI is integral to our strategy and daily operations