Financial Operations Analyst

Our team is responsible for the efficiency of the payment infrastructure and helps identify growth points in payments. We aim to increase payment success rates, improve user experience, reduce transaction costs, and identify financial losses in payment processes. We work at the intersection of product, infrastructure, finance, and analytics. The results of our work directly impact GMV, conversion, payment economics, and P&L.

What tasks await you

Payment Economics Analysis You will analyze what constitutes the cost of processing a payment: accounting for commissions, rates, costs, features of different routes, and payment methods. It's important not just to calculate the final figure, but to understand which factors most strongly influence the cost and where expenses can be optimized.

Identifying Loss Points You will find scenarios where the business loses money: due to inefficient rates, unsuccessful routes, connection specifics, errors, or suboptimal traffic distribution. It's necessary to document the losses, assess their scale, determine the cause, and propose how to improve the situation.

Analyzing the Economic Impact of Changes It's important for the team to understand how changes in rates, onboarding new partners, traffic shares, or routes affect the final economics. You will help calculate the effect before launching changes and verify it after implementation.

Developing Financial Scenarios You will participate in discussions of new initiatives: from changing rates and routing schemes to launching partner scenarios. It's important to quickly assess potential effects and risks, as well as prepare clear arguments for business and product teams.

More about analytics at Yandex — in the channel Yandex for Analytics

We expect that you

• Are proficient in SQL and work with large data sets
• Use Python for data analysis: pandas, NumPy, or similar tools
• Find patterns in data and explain the reasons for observed changes
• Structure information and clearly communicate findings to product and technical teams
• Independently formulate analytical hypotheses and test them on data
• Are ready to constantly learn and master new technologies and approaches

Will be a plus

• Experience with payments, fintech, or financial analytics
• Have analyzed A/B experiment results
• Worked with large transactional data
• Understand the principles of payment systems, acquiring, and processing