Latitude Financial Services
latitudefinancial.com.au
Actively hiring
Buy Now, Pay Later
Cards & Card Issuing
Consumer Loans & Pawnshops
View 3 jobs
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Tech stack
Technologies named in job postings at Latitude Financial Services over the last 12 months, by layer, with the share of postings for each.
Technologies in use
17
Postings analysed
5
Stack modernity
73/100
Languages
Python
SQL
Apex
Databases
Snowflake
Salesforce Data Cloud
Cloud & platforms
AWS
Apache Kafka
Braze
Databricks
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Full Latitude Financial Services tech stack
17 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
79/100
Scaling fast
Open positions
12
4 opened / 3 closed in 30 days
Median time-to-fill
26 days
faster than 46% of the market
ATS activity
Every ~22 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Finance
17% ▼
Field & Service
17% ▼
Product
11%
Analytics
11% ▲
Sales
11%
Data Science
6% ▲
Activity Timeline
New location: Docklands
Oct 2026
Added ITSM to stack
Oct 2026
Added ITIL to stack
Oct 2026
Added Incident Management to stack
Oct 2026
Added Machine Learning to stack
Sep 2026
Added Apex to stack
Sep 2026
Added Salesforce Data Cloud to stack
Sep 2026
Added ETL/ELT to stack
Sep 2026
Added Databricks to stack
Sep 2026
Added Braze to stack
Sep 2026
Added Scrum to stack
Sep 2026
Added Kanban to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
3
Hiring now
3
Countries
2
Busiest office
Melbourne
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Headquarters
Builds here
Office with open vacancies
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Melbourne
Australia
HQ
AUS VIC Melbourne
10 open roles 13 posted in 90 days 30% engineering 500-1000 est. staff
hires for Finance, Product, Analytics
Auckland
New Zealand
NZ Auckland
1 open roles 2 posted in 90 days 50-200 est. staff
hires for Field & Service
Docklands
Australia
1 open roles 1 posted in 90 days 10-50 est. staff
hires for Product
Jobs
≈ $102k – $227k per year (Estimated) • Hybrid • Full-Time • 5+ years exp • Melbourne
Snowflake
AI/ML
dbt
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≈ $104k – $249k per year (Estimated) • Hybrid • Full-Time • 7+ years exp • Bachelor's Degree • Melbourne
Python
SQL
Snowflake
Apache Kafka
AI/ML
Spark
dbt
AI Agents
DevOps
Terraform
CloudFormation
CI/CD
AWS
Apply
≈ $94k – $209k per year (Estimated) • Hybrid • Full-Time • 5+ years exp • Melbourne • Docklands
Apply