Full Stack Python Developer at Tower Research Capital LLC

full stack jobs in python full stack developer jobs

New York City,NY,United States
Mar 05, 2015

Tower Research Capital LLC

Founded in 1998, Tower Research Capital LLC is a leader in the thriving field of high-frequency trading. Working at Tower means collaborating with bright minds from around the world to create cutting-edge technology and tackle challenging technical problems. We are engineers and pioneers who use scientific principles to identify market opportunities and who think Mondays look better in jeans and a t-shirt than in a suit and tie.

Responsibilities

As a Full Stack Python Developer, you will create and expand our in-house tools and help to develop an agile framework that adapts to quickly evolving business requirements. Your responsibilities will include: - Playing a key role in our Python projects - Contributing to all layers of our technology stack including backend services, databases, APIs and web-based user interface - Working with and supporting other technical team members - Liaising with business teams to develop informational systems - Liaising with technical teams to develop systems and network interfaces

Qualifications

Additionally, we are seeking someone who is:

Financial experience is not required.

Benefits

Tower's main office and garden roofdeck are located in TriBeCa, a neighborhood in downtown Manhattan. While we work hard, Tower's cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:

Tower and Ambrose Employer Group LLC are committed to ensuring equal employment opportunities for all employees, including qualified employment applicants. The companies strive to maintain an environment free of discrimination based on race, color, religion, gender, national origin, ancestry, age, disability, genetic information, military or veteran status, marital status, sexual orientation, gender identity, citizenship, or any other protected category or characteristic as defined by federal, state, or local laws. This equal employment opportunity policy applies to all employment practices, including but not limited to recruiting, hiring, advertising, promotion, transfer, reductions in force, social and recreational programs, training, employee development, compensation and fringe benefits, discipline, and termination.

Position:
Employee

Work Schedule:
Full-time

Remote:
No

Relocation:
No

Salary:
Not Specified

How to Apply

Position is expired. Thanks for your interest.


Contact

Email: admin@djangojobs.net