Match Jobs for Financial Advisor Roles
A quick example on how you can match against listings with Financial Advisor profiles through our job feed data API with semantic search capabilities.
This basic example demonstrates how to use the vector embeddings and vector search capabilities of the jobdata API to match Financial Advisor job profiles based on semantic similarity. This way you can find job listings that align closely with a given job profile description, even if the exact keywords are not present in the job description. This is particularly useful for HR platforms, recruitment tools, and job boards aiming to improve candidate-job matching accuracy.
By leveraging our pre-generated embeddings and semantic search features, you can unlock powerful semantic matching capabilities to enhance your job search or recruitment platform. Whether you're matching candidates to jobs or analyzing job market trends, these features provide a robust solution for understanding and matching job profiles based on context and meaning.
Job Matching Example
The API provides pre-generated vector embeddings for all job posts, currently created using OpenAI's `text-embedding-3-small` model. These embeddings capture the semantic meaning of job titles and descriptions, enabling the API to perform semantic searches based on a job profile description.
When you provide a job profile description (e.g., "Proficient in providing personalized financial planning, investment strategies, and retirement solutions to clients."), the API:
- Converts the text into a vector embedding in real-time.
- Compares this embedding against the pre-generated embeddings of job posts using cosine similarity.
- Returns job listings that are most semantically similar to the profile, ordered by relevance.
Here's a link to a live API results page:
Proficient in providing personalized financial planning, investment strategies, and retirement solutions to clients.
The results include a cosine_dist field, which indicates the similarity between the query and each job post. Lower values represent higher semantic similarity.
Query the jobdata API
Example search request (with header auth):
curl -X GET -H \
"Authorization: Api-Key YOUR_API_KEY" \
https://jobdataapi.com/api/jobs/?max_age=90&vec_text=Proficient in providing personalized financial planning, investment strategies, and retirement solutions to clients.
Example search request (with auth param):
curl https://jobdataapi.com/api/jobs/?api_key=<YOUR API KEY>&max_age=90&vec_text=Proficient in providing personalized financial planning, investment strategies, and retirement solutions to clients.
Shown below is a live example of what a list with the top matched jobs could look like, filtered by the job position profile from above with the most recent data from our global database:
Senior Financial Planner
Avon, Connecticut, United States
Full TimeSenior level
Financial Advisor
Hartford, CT, US
Full TimeMid-level
Financial Consultant (Personal Investors)
Maryland, United States
Full TimeMid-level
Financial Consultant
Colorado, United States
Full TimeMid-level
Annuity Sales - No Prospecting - Growth Potential
Conroe, Texas, United States - Remote
Full TimeMid-level
Financial Planner
Poughkeepsie, NY, US
Full TimeMid-level
Financial Advisor/Annuities Sales
Fort Atkinson, Wisconsin, United States
Full TimeMid-level
Financial Advisor, Advisory Services
Colorado, United States
Full TimeMid-level
Annuity Sales - 6 Figure Income Potential - No Prospecting or Paper Chasing
Canyon Lake, Texas, United States
Full TimeMid-level
Annuity Sales - 6 Figure Income Potential - No Prospecting or Paper Chasing
Waukegan, Illinois, United States
Full TimeMid-level
Find out more on how to use the jobdata API in our docs.