London (In-Office)

Quantiq specializes in high frequency derivatives trading in the largest markets worldwide. Our approach is rigorous and pragmatic, driven by technological expertise and analytics informed by real-world experience. We value employees who love to learn and have the tenacity, curiosity and willpower to contribute to our continuing success.

We are a small but passionate team, dedicated to enhancing and refining our tried and true methods as we commit to our ongoing growth and performance.

Role Description:

As a Market Operations Analyst, you will be responsible for monitoring Quantiq’s live trading environment. You’ll help oversee and support live trading activity during the Asian and/or European trading sessions. Your insights into the relationship between infrastructure, data, and market behavior will help shape operational decisions and contribute directly to the success of our overnight trading strategies. If the following resonates with you, we would love to welcome you to our team.

Note, this is not a Developer or Trader Role. If you are interested in these positions, we encourage you to apply on the careers page of our website.

Job Responsibilities:

Analyze markets and news-flow to optimize existing trading operations

Calculate daily P&L and position balances

Collaborate with the tech team to identify and resolve production issues

Support the release of new algorithms by responding and documenting unusual behaviors or market conditions

Develop analytical tools and processes to enhance operational platforms

Assist the tech team in the conversion of manual processes to automatic systems

Qualifications:

Exceptional attention to detail

Ability to work efficiently in a fast-paced environment

Reliable and adaptable team player

Ability to communicate technical concepts to a variety of audiences

Comfortable building tools for automation

Willingness to learn about financial systems

Preferred Qualifications:

3+ years experience in an analytical field or comparable detail oriented environment

Bachelor’s degree in a quantitative discipline (CS, Engineering, Physics, Math, etc.)

Experience in Python and Excel

Strong knowledge of Linux

Application Requirement:

Suppose you are an investor with $100 on January 1, 2005. Write a Python program that calculates the total return (including dividends) if you invested this money into the S&P 500 and held it through to January 1, 2025. If you could erase any continuous 11 calendar day period from this history in order to get the best returns, what would your new total return be? Include the dollar values in your comments.

Attach the file in the "Cover Letter" section.