Quantitative Researcher - Execution

WHO WE ARE

Headquartered in the historic Chicago Board of Trade, PEAK6 Capital Management is a proprietary options trading firm that has been defining the industry for more than 25 years. While many firms have come and gone, PEAK6 Capital Management has consistently delivered liquidity to the options market. We thrive due to our firm’s special blend of financial acumen, ability to manage risk, and cutting‑edge technology.

Our success is driven by our team of technologists, engineers, and traders who leverage proprietary tech and a data‑centric approach to maintain inventory and stay ahead of the markets, so customers can, too.

We are committed to providing dependable liquidity, which is crucial for market stability, investor confidence, and efficient trading across asset classes.

As an Execution Quantitative Researcher, you will work closely with traders and engineers to improve the electronic execution algorithms our traders use.

This role is for Chicago, New York, or Austin based candidates.

• Working as part of a team of software engineers and quantitative researchers.
• Analyzing algorithm performance.
• Leverage quantitative techniques and market microstructure understanding to optimize an existing model.
• Propose new algorithms to better capture market liquidity and backtest using tick data.
• Work with software engineers to reconcile differences between real world performance versus backtested performance.
• Build ongoing monitoring of algorithm performance.
• Perform 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.

• Hold a Masters or PhD in Mathematics, Statistics, Physics, Financial Engineering, or other related quantitative field.
• 2+ years of experience working in trading, with a focus on electronic algorithmic execution preferred.
• Familiarity with various statistical tests, knowledge of market impact models a plus.
• Programming experience, Python preferred, particularly around exploring large datasets.
• A demonstrated track record of applying modeling techniques to real‑world problems.
• Ability to collaborate with software engineers at a detailed level.
• Experience working with large, noisy, or incomplete data sets and investigating underlying data issues.
• Good English language communication skills.
• Occasional travel may be required.

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.

Base pay offered may vary depending on job-related knowledge, skills, experience, and office location. This position also may be eligible for a discretionary annual bonus in addition to a range of health & wellness benefits, enhancing your overall compensation package.

$116,200 - $145,250

PEAK6 is proud to be an equal opportunity employer that does not discriminate on the basis of 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  We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.