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WHO WE ARE
We are PEAK6, a leading investment firm, using technology to find a better way of doing things. The company's first tech-based solution was developed in 1997 to optimize options trading, and over the past two decades, the same formula has been used across a range of industries, asset classes, and business stages to consistently deliver superior results. Today, PEAK6 seeks transformational opportunities to provide capital and strategic support to entrepreneurs and forward-thinking businesses. PEAK6's core brands include PEAK6 Capital Management, PEAK6 Strategic Capital, Apex Fintech Solutions, FOCUS, We Insure, Evil Geniuses, Poker Power, Zogo, and Bruce Markets.
ABOUT THIS ROLE
As a Quantitative Researcher, you will work closely with traders and engineers across the organization to improve the suite of derivatives pricing, surface models, signals, and risk measures our traders use.
This role is based out of our fully staffed Budapest office with 20+ coworkers and opportunities to travel to the US to collaborate with your peers there.
You'll be responsible for:
- Working as part of a team on end to end research initiatives to map elements of trader intuition into quantitative models
- Analyzing model performance and sensitivity to factors through running simulation, backtesting, or summarizations of past results
- Optimizing and supporting existing models
- Interfacing directly with traders to understand their use cases and nuance of a given model
- Driving the company forward with new ideas that will impact the way we leverage market data
- Working with software engineers to ensure the reliable delivery of data and to translating research results to production
- Performing any or all of the above responsibilities for, or in support of, PEAK6 HC Holdings LLC or any of its affiliates, including, but not limited to, PEAK6 Group LLC
YOUR EXPERIENCE
- Have completed a Masters or PhD in Mathematics, Statistics, Physics, Financial Engineering, or other related quantitative field
- 1+ years of experience working in either machine learning, deep learning, stats, quantitative trading, or any other role building models on large datasets
- Programming experience, Python preferred, particularly around exploring large datasets
- A demonstrated track record of applying modeling techniques to real-world problems
- The ability to collaborate with subject matter experts in defining appropriate features and metrics for a given model
- Comfort implementing models from papers
- Experience working with large, noisy, or incomplete data sets and investigating underlying data issues
- Good English language communication skills
- Occasional travel may be required
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OUR REWARDS
We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. As a hybrid workforce, we offer our employees the ability to work remotely up to two days a week.
PEAK6 is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics.
PEAK6 is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please contact our HR department at [email protected]. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.
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