Stock Loan Manager
1 212 258 ₽ (RUB)/yr
582,82 ₽ (RUB)/hr
40 368 ₽ (RUB)/yr
The average stock loan manager gross salary in Nizhny Novgorod, Russian Federation is 1 212 258 ₽ or an equivalent hourly rate of 583 ₽. This is 7% higher (+74 686 ₽) than the average stock loan manager salary in Russian Federation. In addition, they earn an average bonus of 40 368 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level stock loan manager (1-3 years of experience) earns an average salary of 887 540 ₽. On the other end, a senior level stock loan manager (8+ years of experience) earns an average salary of 1 505 827 ₽.
This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
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ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
1 443 403 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Stock Loan Manager will increase 19 % over 5 years.
This chart displays the highest level of education for:
Stock Loan Manager, the majority at 83% with bachelors.
Typical Field of Study: Finance
See how education can impact your salaryThe cost of living in Nizhny Novgorod, Russian Federation is 7% less than the average cost of living in Russian Federation. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
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This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.