Tower Research Capital is a leading quantitative trading firm founded in 1998.
Tower has built its business on a high-performance platform and independent
trading teams. We have a 25+ year track record of innovation and a
reputation for discovering unique market opportunities.
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 environment
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
Platform has grown over the years to manage peta-byte level data while
providing APIs to interact with data at granular scale
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
Using programming languages, such as Python, Shell/Bash to architect,
implement and integrate build software and productivity tools
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 new 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 relevant experience in designing and improving information
systems.
Proficiency with Python.
Knowledge of NumPy, Pandas/Polars, Cython and other python data science
frameworks
Thorough understanding of Linux fundamentals and C++
compiling/linking/loading process.
Experience with Source Control Management, CI/CD pipelines, ELK and
other observability frameworks will be an added advantage
Brilliant problem-solving abilities. Most problems require high-availability,
high-throughput and low latency solutions.
The ability to manage multiple tasks in a fast-paced environment.
Most importantly, the ability and willingness to quickly learn new tools,
languages, paradigms and skills wherever necessary to get the job done.

A passion for new technologies and actively improving existing systems for users ,The drive to take initiative and pro-actively identify opportunities for efficiency and automation
The ability to prioritize multiple tasks in a fast-paced environment
Excellent attention to detail The ability to work both individually and with a team