Quantbot Technologies tech stack
Quantbot Technologies builds mostly with Python, C++, Rust, SQL. Its stack also includes Linux, PyTorch, Unix, TensorFlow. Python is named in 8 of the 8 job postings Quantbot Technologies published in the last 12 months (100%). Counted by Alion from the job postings of Quantbot Technologies, updated Oct 31, 2026.
What programming languages does Quantbot Technologies use?
Python is named in 100% of job postings at Quantbot Technologies, followed by C++ (63%), Rust (38%), SQL (25%).
What frameworks and libraries does Quantbot Technologies use?
PyTorch is named in 38% of job postings at Quantbot Technologies, followed by TensorFlow (25%), TensorFlow C++ (25%), NumPy (13%).
PyTorch
3 38%
TensorFlow
2 25%
TensorFlow C++
2 25%
NumPy
1 13%
Pandas
1 13%
Scikit-learn
1 13%
JAX
1 13%
What cloud and platforms does Quantbot Technologies use?
Linux is named in 38% of job postings at Quantbot Technologies, followed by Unix (25%), AWS (13%), GCP (13%).
Which engineering practices does Quantbot Technologies ask for?
Machine Learning is named in 88% of job postings at Quantbot Technologies, followed by ETL/ELT (25%), Time Series (25%).
Time Series What does each Quantbot Technologies team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
4 postingsHow does your stack fit Quantbot Technologies?
How modern is the Quantbot Technologies stack?
Quantbot Technologies scores 76 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.
How common is the Quantbot Technologies stack in its industry?
Share of the 2,545 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Quantbot Technologies apart
Companies with a stack like Quantbot Technologies
Questions about the Quantbot Technologies tech stack
What programming languages does Quantbot Technologies use?
The languages named in Quantbot Technologies job postings are Python (100%), C++ (63%), Rust (38%), SQL (25%), as a share of the 8 postings of the last 12 months.
Does Quantbot Technologies use PyTorch?
Yes. PyTorch is named in 3 of 8 job postings (38%) and required in 2 of them.
What cloud and platforms does Quantbot Technologies use?
The cloud and platforms named in Quantbot Technologies job postings are Linux (3), Unix (2), AWS (1) (postings in brackets).
What skills do you need for a Data Science job at Quantbot Technologies?
Data Science postings at Quantbot Technologies most often require Python (4), C++ (3), out of 4 postings in the last 12 months.
Is the Quantbot Technologies tech stack changing?
No new technology has appeared in Quantbot Technologies job postings in the last six months.
How modern is the Quantbot Technologies tech stack?
Quantbot Technologies scores 76 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.
How does Alion know the Quantbot Technologies tech stack?
Alion reads every job posting Quantbot Technologies publishes and tags the technologies each one names. The figures on this page count the 8 postings of the last 12 months and were updated on Oct 31, 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, "Quantbot Technologies tech stack: 18 technologies from 8 job postings", as of Oct 31, 2026. https://alion.io/company/quantbot-technologies/technologies