Tower is home to some of the world’s best systematic trading and engineering
talent. We empower portfolio managers to build their teams and strategies
independently while providing the economies of scale that come from a large,
global organization.

Engineers thrive at Tower while developing electronic trading infrastructure at
a world class level. Our engineers solve challenging problems in the realms of
low-latency programming, FPGA technology, hardware acceleration and machine
learning. Our ongoing investment in top engineering talent and technology
ensures our platform remains unmatched in terms of functionality, scalability
and performance.

At Tower, every employee plays a role in our success. Our Business Support teams
are essential to building and maintaining the platform that powers everything we
do — combining market access, data, compute, and research infrastructure with
risk management, compliance, and a full suite of business services. Our Business
Support teams enable our trading and engineering teams to perform at their best.

At Tower,



employees will find a stimulating, results-oriented setting where
highly intelligent and motivated colleagues inspire each other to reach their
greatest potential.

Responsibilities:
Working on team’s core python data science platform to support global trading
research
Building ETL pipelines on top of internal and external data sources to drive
business analytics
Researching solutions to allow increasingly sophisticated visualizations
Developing / improving frameworks to better leverage our cloud + on-prem
compute and storage clusters
Developing, testing and documenting existing in-house tools to improve their
quality, reliability and supportability
Automating existing support workflows to reduce operational burden and design
current tools to improve efficiency

Qualifications:

The ideal candidate will have:
A bachelor’s degree in computer science from a top-tier college or university
3 to 5 years of

📌 Python Developer Gurugram
🏢 Tower Research Capital
📍 Gurugram