Tower Research Capital tech stack
Tower Research Capital builds mostly with Python, C++, SQL, Rust. Its stack also includes Linux, Kubernetes, PyTorch, TensorFlow. Python is named in 82 of the 103 job postings Tower Research Capital published in the last 12 months (80%). Counted by Alion from the job postings of Tower Research Capital, updated Nov 11, 2026.
What programming languages does Tower Research Capital use?
Python is named in 80% of job postings at Tower Research Capital, followed by C++ (36%), SQL (23%), Rust (15%).
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What frameworks and libraries does Tower Research Capital use?
PyTorch is named in 11% of job postings at Tower Research Capital, followed by TensorFlow (7%), JAX (6%), Ray (4%).
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What databases does Tower Research Capital use?
DuckDB is named in 2% of job postings at Tower Research Capital, followed by Google BigQuery (2%), Snowflake (2%), ElasticSearch (2%).
DuckDB
2 2%
Google BigQuery
2 2%
Snowflake
2 2%
ElasticSearch
2 2%
MySQL
1 1%
PostgreSQL
1 1%
OpenSearch
1 1%
What cloud and platforms does Tower Research Capital use?
Linux is named in 54% of job postings at Tower Research Capital, followed by Kubernetes (18%), Unix (17%), AWS (11%).
Kubernetes
19 18%
AWS
11 11%
GCP
9 9%
Apache Kafka
6 6%
Azure
5 5%
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What developer tools does Tower Research Capital use?
Docker is named in 12% of job postings at Tower Research Capital, followed by Git (11%), SLURM (7%), Ansible (7%).
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What AI and ML technologies does Tower Research Capital use?
LLM is named in 4% of job postings at Tower Research Capital.
LLM
4 4%
Which engineering practices does Tower Research Capital ask for?
Machine Learning is named in 98% of job postings at Tower Research Capital, followed by CI/CD (15%), HPC (14%), TCP/IP (10%).
CI/CD
15 15%
HPC
14 14%
AI Agents
9 9%
Time Series
5 5%
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What does each Tower Research Capital team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
21 postingsManagement
18 postingsData Science
13 postingsAI/ML
10 postingsEarly Careers
8 postingsOperations
6 postingsHow does your stack fit Tower Research Capital?
How much does Tower Research Capital pay by technology?
Median stated pay of the postings that name each technology, against the median of all Tower Research Capital postings with stated pay: $250k across 33 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 25 | $250k | 0% |
| Linux | 15 | $250k | 0% |
| C++ | 15 | $250k | 0% |
| Unix | 8 | $250k | 0% |
| Kubernetes | 7 | $200k | −20% |
| Rust | 6 | $234k | −6% |
| SQL | 6 | $175k | −30% |
| PyTorch | 5 | $300k | +20% |
How is the Tower Research Capital stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Tower Research Capital stack?
Tower Research Capital scores 70 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How common is the Tower Research Capital stack in its industry?
Share of the 175 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Tower Research Capital
Questions about the Tower Research Capital tech stack
What programming languages does Tower Research Capital use?
The languages named in Tower Research Capital job postings are Python (80%), C++ (36%), SQL (23%), Rust (15%), Bash (12%), as a share of the 103 postings of the last 12 months.
Does Tower Research Capital use PyTorch?
Yes. PyTorch is named in 11 of 103 job postings (11%) and required in 11 of them.
What cloud and platforms does Tower Research Capital use?
The cloud and platforms named in Tower Research Capital job postings are Linux (56), Kubernetes (19), Unix (18) (postings in brackets).
What skills do you need for a Backend job at Tower Research Capital?
Backend postings at Tower Research Capital most often require Python (17), Linux (13), C++ (11), Rust (8), out of 21 postings in the last 12 months.
Is the Tower Research Capital tech stack changing?
Yes. ElasticSearch, NLP, Windows, Anomaly Detection first appeared in Tower Research Capital job postings in the last six months.
How modern is the Tower Research Capital tech stack?
Tower Research Capital scores 70 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the Tower Research Capital tech stack?
Alion reads every job posting Tower Research Capital publishes and tags the technologies each one names. The figures on this page count the 103 postings of the last 12 months and were updated on Nov 11, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Tower Research Capital tech stack: 144 technologies from 103 job postings", as of Nov 11, 2026. https://alion.io/company/tower-research-capital/technologies