Multiple subqueries performance issue

I have a query that collects customer data. I select a lot of correlated data from different tables. I want to have only ONE result row for each customer.

The query looks like that:

SELECT c.Id
,c.NAME
,(
    SELECT TOP 1 p.NAME
    FROM ContactPerson p
    WHERE p.CustomerId = c.Id
        AND p.Priority = 1
    )
,(
    SELECT TOP 1 p.NAME
    FROM ContactPerson p
    WHERE p.CustomerId = c.Id
        AND p.Priority = 2
    )
,(
    SELECT TOP 1 p.NAME
    FROM ContactPerson p
    WHERE p.CustomerId = c.Id
        AND p.Priority = 3
    )
,(
    SELECT TOP 1 p.NAME
    FROM ContactPerson p
    WHERE p.CustomerId = c.Id
        AND p.Priority = 4
    )
,(
    SELECT TOP 1 b.AccountNumber
    FROM BankAccounts b
    WHERE b.CustomerId = c.Id
        AND b.STATUS = 'active'
    )
FROM Customers c
WHERE c.STATUS = 'active'

This is a simplified version of the query. I have multiple subqueries, often referring to the same table under different conditions. If I didn't use subqueries I would get many rows for one customer but I need just one row with all the available data.

How can I rewrite this query so it runs fast? The current version generates high CPU usage, over 200MB/s IO operations and it takes around 6 hours to collect data about 70 000 customers.