Create a bespoke document in minutes, or upload and review your own.
Get your first 2 documents free
Your data doesn't train Genie's AI
You keep IP ownership of your information
Job Letter For Mortgage
"I need a Job Letter For Mortgage for my employee John Smith who is applying for a home loan with DBS Bank, confirming his permanent employment status and current annual salary of SGD 120,000, with employment date starting January 2025."
1. Company Information: Official letterhead, company registration details, contact information
2. Employee Details: Full name, position, employee ID, date of joining
3. Employment Status: Confirmation of permanent/contract status and length of service
4. Compensation Details: Basic salary, fixed allowances, and average monthly income
5. Employment Confirmation: Statement confirming current employment status
1. Performance Status: Include if requested by bank - confirmation of good standing
2. Bonus History: Include if relevant for income assessment
3. CPF Contributions: Include if specifically requested by financial institution
1. Salary Statements: Last 3-12 months of payslips (if requested)
2. CPF Contribution History: Statement of CPF contributions (if requested)
3. Employment Contract Extract: Relevant portions of employment contract (if required)
Authors
Find the exact document you need
Download our whitepaper on the future of AI in Legal
Genie’s Security Promise
Genie is the safest place to draft. Here’s how we prioritise your privacy and security.
Your documents are private:
We do not train on your data; Genie’s AI improves independently
All data stored on Genie is private to your organisation
Your documents are protected:
Your documents are protected by ultra-secure 256-bit encryption
Our bank-grade security infrastructure undergoes regular external audits
We are ISO27001 certified, so your data is secure
Organizational security
You retain IP ownership of your documents
You have full control over your data and who gets to see it
Innovation in privacy:
Genie partnered with the Computational Privacy Department at Imperial College London
Together, we ran a £1 million research project on privacy and anonymity in legal contracts
Want to know more?
Visit our Trust Centre for more details and real-time security updates.
Read our Privacy Policy.