Machine Learning (Unsupervised Learning, Clustering)

Hello, I need to make a project to find Anomaly Detection in Bank Transactions using Unsupervised Learning (Clustering). I do not know if you are familier about Anomaly Detection. Such as - high transaction, -Low transaction -more than 5 transaction, -transaction from one country, at the same time transaction from some other country -other useful features... The columns could be : transaction_id | account id | transaction_date | transaction_type | transaction_amount | recipient_id | recipient_country | client_ip_address | client_card_mask | recipient e-mail client_card_country | balance | balance after trans | [login to view URL] Most of the people using above sample for Anomaly Detection. But I need more professional job. if you wanna do the job. Can you please explain me. What is your strategies. What Anomaly detection can you find? Thank you.