Applied Data Finance tech stack
Applied Data Finance builds mostly with Python, SQL. Its stack also includes AWS, Amazon S3, Amazon Redshift, Apache Iceberg. Python is named in 3 of the 3 job postings Applied Data Finance published in the last 12 months (100%). Counted by Alion from the job postings of Applied Data Finance, updated Sep 26, 2026.
What programming languages does Applied Data Finance use?
Python is named in 100% of job postings at Applied Data Finance, followed by SQL (100%).
What frameworks and libraries does Applied Data Finance use?
SHAP is named in 33% of job postings at Applied Data Finance.
SHAP
1 33%
What databases does Applied Data Finance use?
Amazon Redshift is named in 33% of job postings at Applied Data Finance, followed by Apache Iceberg (33%), Snowflake (33%).
What cloud and platforms does Applied Data Finance use?
AWS is named in 33% of job postings at Applied Data Finance, followed by Amazon S3 (33%), Databricks (33%), Spark (33%).
AWS
1 33%
Databricks
1 33%
Spark
1 33%
Apache Kafka
1 33%
Tableau
1 33%
What developer tools does Applied Data Finance use?
Git is named in 33% of job postings at Applied Data Finance, followed by Jenkins (33%), Rest API (33%), Terraform (33%).
Which engineering practices does Applied Data Finance ask for?
Machine Learning is named in 67% of job postings at Applied Data Finance, followed by Feature Store (33%), A/B Testing (33%), CI/CD (33%).
CI/CD
1 33%
Platform Engineering
1 33%
How does your stack fit Applied Data Finance?
How modern is the Applied Data Finance stack?
Applied Data Finance scores 73 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: 0; legacy ones: 0.
How common is the Applied Data Finance stack in its industry?
Share of the 124 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Applied Data Finance
Questions about the Applied Data Finance tech stack
What programming languages does Applied Data Finance use?
The languages named in Applied Data Finance job postings are Python (100%), SQL (100%), as a share of the 3 postings of the last 12 months.
What cloud and platforms does Applied Data Finance use?
The cloud and platforms named in Applied Data Finance job postings are AWS (1), Amazon S3 (1), Databricks (1) (postings in brackets).
Is the Applied Data Finance tech stack changing?
No new technology has appeared in Applied Data Finance job postings in the last six months.
How modern is the Applied Data Finance tech stack?
Applied Data Finance scores 73 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: 0; legacy ones: 0.
How does Alion know the Applied Data Finance tech stack?
Alion reads every job posting Applied Data Finance publishes and tags the technologies each one names. The figures on this page count the 3 postings of the last 12 months and were updated on Sep 26, 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, "Applied Data Finance tech stack: 27 technologies from 3 job postings", as of Sep 26, 2026. https://alion.io/company/applied-data-finance/technologies