Python Quantitative Developer - Leading Quant Trading Firm
- Employer
- Stanford Black
- Location
- New York, USA
- Salary
- Up to $600,000
- Closing date
- Feb 8, 2023
View more
- Job Function
- Trading
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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One of the top systematic quantitative trading firms in the world is looking for exceptional Python developers to join a completely greenfield initiative and help work on a front-office trading platform from scratch working with a team of passionate engineers. The team will be an integral part of the firm and will underpin the entire firm globally and centralize all business units by developing infrastructures that serve as the foundation upon which advisors can access data used to manage investment accounts and service clients. You will be exposed to an environment that is built around cloud and microservices as they have revamped their entire tech structure and are focused on creating a truly next-gen product that utilizes the latest open-source technology.
They are happy to hire passionate individuals across all levels of seniority.
Required
Benefits:
Location
If this role isn't right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed! T&Cs apply.
They are happy to hire passionate individuals across all levels of seniority.
Required
- 3+ years experience in Python with experience working directly with PM's and traders preferred
- Comprehensive use of Pandas or Numpy or Scipy
- Analytical skills - Ability to troubleshoot and logically assess problems and determine solutions
- Motivated and enthusiastic individual
- Willingness to grow
Benefits:
- Great working culture
- Flexible working hours
- Great opportunities to progress
- Up to $600,000 total compensation
Location
- New York and Miami and Huston.
If this role isn't right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed! T&Cs apply.
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