Development of Bank Product Calculators:
Created and developed the application logic for bank product calculators (credits, savings, etc.) from data layer to presentation layer.
About expert
A .NET Engineer at Sravni.ru.
Alexander applied their knowledge of Software Engineering in Fintech and Banking on the following markets: Russia.
Alexander built products like Bank product calculator using the variety of tools.
Other cases by Alexander
Creating transaction history
As an iOS developer in FG BCS, a leading investment company in the Russian market, I contributed to their app for private investors. I developed a transaction history feature that allowed users to have a full control of their cash flow budget. I implemented an infinite scroll and comprehensive filter. Users could find the details of each transaction in the modal view and get the summary of their expenses and earnings as a stacked bar chart.
Setting up transfer to card flow
As an iOS developer in FG BCS, a leading investment company in the Russian market, I contributed to their app for private investors.
I implemented a flow of transfer money from a user's account or cart to a card of another bank: users selected an account or a cart to transfer money from, next step they entered card PAN or a phone number and selected another user’s bank from the suggested list.
Similar cases
Setting up efficient customer support
Organized pre-launch product UX testing, regular users research and new features backlog prioritization
Organized the company's participation in high-profile contests, resulting in Nimb becoming a winner of Smart City Expo worldwide Congress’s call for solution in the “Safe Cities” category and a finalist of Xprize Women’s Safety competition
Set up efficient client support
Enhancing Analytical Infrastructure and Reducing Fraudulent Activities
Led the shift of analytical infrastructure, enhancing data resources and decreasing update errors by 90%. Increased identifiable traffic sources from 60% to 95%. Played a crucial role in reducing fraudulent responses from 28% to 1-4% by strengthening moderation and creating a fraud analytics direction. Contributed to a project reducing the cost of applications from groups by 70% and reducing vacancies in central Moscow from 20% to 6%.