FINANCE & BANKING

We deliver innovative solutions, technology and talent for the complex and competitive world of finance

FINANCE & BANKING

We deliver innovative solutions, technology and talent for the complex and competitive world of finance

Loan Origination Platform

Accelerating the launch of new unique customer-oriented credit products and improving the efficiency of lending processes

Web & Mobile Banking

Attract and retain more customers and increase LTV with new generation user friendly and easy modifiable web and mobile banking applications

Loan Origination Platform

Accelerating the launch of new unique customer-oriented credit products and improving the efficiency of lending processes

Web & Mobile Banking

Attract and retain more customers and increase LTV with new generation user friendly and easy modifiable web and mobile banking applications

ALM

Intelligent AI-driven ALM solution: forecasting, optimization, predictive

Decision-making

Improving the quality of decision-making using advanced ML models

IFRS9

Building a smart solution for IFRS9 provision calculation

Case Studies

APPLICATION INTEGRATION & OPEN API
Customer
Tier-1 private bank in Vietnam, 50+Bln $ AUM

Task
Implementation of integration and Open API layers based on IBM and WS02 software.

Outcomes
Implementation of this project has enabled the bank to provide its customers with new opportunities for online interaction and increase its clients’ awareness of the banking products, services and promotions it provide.

Business Value
Improved CallCenter client services and new automated sales channels (through partner companies) via deployed Open API layer.
DIGITAL CHANNELS
Customer
Middle-sized bank, owned by large Japanese financial group

Task
Development of new Digital Channels application for SME clients enhanced with Open API layer.

Outcomes
Designed specifically to serve small and medium-sized businesses, new platform ensures prompt interaction of customers with the bank through mobile devices and a web interface in one click. Thanks to the convenient and advanced interface, clients can easily control accounts, quickly create payment orders and receive statements. Clients have instant access to operations and information on accounts, including management of curent accounts, bank account statements, fund transfers, payments, loan and deposit products etc.

Business Value
Implemented platform, built according to microservice architecture patterns allows to reduce the probability of failure of the bank's Digital Channels applications for to less than 0.01%. At the same time, new platform allows Client to quickly add new functionality and products to internet and mobile banking apps. It takes no more than two hours to deploy updates, including automated, performance and integration testing cycles.

Tech Stack
OpenShift, Java, React
IFRS9 AUTOMATION
Customer
A global network of 20 community-based microfinance institutions and banks with 1.06 billion USD AUM in 2020

Task
Automate IFRS9 calculations across all subsidiaries in order to optimize day-to-day operations and make lending business more efficient and profitable around the globe.

Outcomes
Through this project data from 20 countries was consolidated to ensure holistic view of Client's international portfolio. To manage data streams from all countries and control its quality a unique router console has been developed. In addition, a set of comprehensive reports for in-depth data analysishas been implemented (Credit Exposure report, Collateral and Enhancements report, ECL reconciliation report, Gross carrying amount reconciliation reports, Set of Sensitivity tests).

Business Value
Reduced effort for data consolidation and IFRS9 measurements calculation and simplified scenario-based testing of PD and LGD models, that helps to identify weaknesses in portfolio management and start the optimization process on time.
AUTOMATION OF ASSET-LIABILITIES MANAGEMENT & FUND TRANSFER PRICING
Customer
Large bank in Vietnam with 113 branches and transaction offices, honourably awarded "Best Core Bank in Vietnam” in 2021 year

Task
Automate Asset/Liability Management process to measure and monitor liquidity, interest rate and FX risks.

Outcomes
During this project, ALM/FTP in-house excel tools were replaced with holistic fully automated treasury management solution. Besides standard ALM/FTP functionality, bank was provided with “What- if” scenario analysis toolkit for stress testing and with customized ALCO reporting pack.

Business Value
New solution ensures improved efficiency of risk management and performance of the different business units as well as regulatory compliance.
DEVELOPMENT OF PD, LGD MODELS AND MACRO ADJUSTMENT FOR BANKS
Customer
A number of banks in Europe, Africa and Middle East countries

Task
To comply with the requirements of regional and European regulators in terms of the IFRS9 financial reporting standard, the banks should develop models for assessing the borrowers' credit risk: default probability models, loss given default models and macroeconomic adjustment models.

Outcomes
A developed stack of models estimating observed default rates (ODR) using a vintage approach, a number of implemented algorithms for fitting parametric curves to ODR (including Weibull-Pareto, Cox PH, Gen Gamma, RF, etc.). LGD models, automated backtesting procedures, and macroeconomic adjustment models (regression models and SVMs) have been developed. A series of successful external audits of Big-4 companies (EY, PWC) has been conducted.
INTEGRATION & DATA MANAGEMENT FOR CAPITAL MARKETS
Customer
One of the Worlds’s Top 100 Banks, Leading player in global corporate investment banking services, with more than 1,3 Trillion Euro Assets Under Management

Challenge
To decrease cost of external data purchase and delivery by eliminating duplicates of connections within different departments to data providers.

Results
Enterprise Data Management Solution based on GoldenSource platform was implemented. With in-build and newly developed API’s GoldenSource solution was integrated with international vendors such as Bloomberg and Reuters, as well as with multiple inhouse data sources.

Business value
The solution allowed to decrease billing amounts for data vendors, operation costs of business process and connect new internal consumers within a day via new subscription settings. Further centralization of market and static data management process enables reduction of operational risk and decrease of effort required to serve necessary data.
RETAIL SCORING, ORIGINATION & CROSS-SELL ML
Customer
Full-service financial bank for private individuals and companies offering complete portfolio of banking. The core market of Bank is the Baltic states - Latvia, Lithuania and Estonia

Challenge
Renovation of decision making system to ensure an opportunity for its usage during cooperation with both corporative and individual clients.

Results
Project involved designing a new data model, updating and augmenting attributes for this model, developing a strategy for issuing loans to individuals and preparing supporting documentation for the JBoss Drools-based solution. The project took only about two months to implement.

Business value
The implementation of the system has greatly simplified the process of generating input data to be uploaded into the system. The current lending strategy has also been optimized, and provision has been made for developing additional tools to manage relationships with legal entities in the future.
DIGITAL BROKERAGE APPS
Customer
Large financial group, providing full range of investment management services, including brokerage, banking and asset management

Challenge
Development of market-leading digital channels for online and mobile brokerage services for retail clients.

Results
Cross-platform modern mobile application enabling easy and seamless customer onboarding and instant access to wide range of financial products for more than 900 000 clients.

Business value
Increased commission revenues through new digital client acquisition channel, reduced churn of existing clients.
BACK-OFFICE TRADE PROCESSING FOR BROKERAGE FIRM
Customer
Large investment firm, focused on high-net worth investor services with 30+ years history, 80 000+ clients and coverage of all major markets

Challenge
Necessity to process, settle and report large amount of trades (approx. 1 million trades a day) given sophisticated products, commission accrual rules, trading schemas and tough regulatory requirements.

Results
Custom highly performant engine based on microservices architecture and in-memory complex event processing approach (Apache Flink platform).

Business value
Resolved performance issues related to legacy trade processing systems, increased agility and short release cycle thanks to scalable and robust architecture.
KYC PROCESS AUTOMATION
Customer
Tier-4 regional bank, specializing on secured lending for SMEs and medium-sized corporates with ~ 1Bln $ AUM

Challenge
Automation and control of mandatory client validations before onboarding process and daily monitoring of 32+ types of AML signals.

Results
Implemented solution, based on open source platform SuiteCRM consolidates the bank's client information and regulates account opening and client monitoring processes, thus ensuring solid compliance with all applicable regulatory requirements.

Business value
The solution allowed to reduce manual effort required to perform all necessary compliance checks as well as client onboarding time, which improved customer loyalty and reduced operational risk related to potential AML and compliance issues.

Case Studies

APPLICATION INTEGRATION & OPEN API
Customer
Tier-1 private bank in Vietnam, 50+Bln $ AUM

Task
Implementation of integration and Open API layers based on IBM and WS02 software.

Outcomes
Implementation of this project has enabled the bank to provide its customers with new opportunities for online interaction and increase its clients’ awareness of the banking products, services and promotions it provide.

Business Value
Improved CallCenter client services and new automated sales channels (through partner companies) via deployed Open API layer.
DIGITAL CHANNELS
Customer
Middle-sized bank, owned by large Japanese financial group

Task
Development of new Digital Channels application for SME clients enhanced with Open API layer.

Outcomes
Designed specifically to serve small and medium-sized businesses, new platform ensures prompt interaction of customers with the bank through mobile devices and a web interface in one click. Thanks to the convenient and advanced interface, clients can easily control accounts, quickly create payment orders and receive statements. Clients have instant access to operations and information on accounts, including management of curent accounts, bank account statements, fund transfers, payments, loan and deposit products etc.

Business Value
Implemented platform, built according to microservice architecture patterns allows to reduce the probability of failure of the bank's Digital Channels applications for to less than 0.01%. At the same time, new platform allows Client to quickly add new functionality and products to internet and mobile banking apps. It takes no more than two hours to deploy updates, including automated, performance and integration testing cycles.

Tech Stack
OpenShift, Java, React
IFRS9 AUTOMATION
Customer
A global network of 20 community-based microfinance institutions and banks with 1.06 billion USD AUM in 2020

Task
Automate IFRS9 calculations across all subsidiaries in order to optimize day-to-day operations and make lending business more efficient and profitable around the globe.

Outcomes
Through this project data from 20 countries was consolidated to ensure holistic view of Client's international portfolio. To manage data streams from all countries and control its quality a unique router console has been developed. In addition, a set of comprehensive reports for in-depth data analysishas been implemented (Credit Exposure report, Collateral and Enhancements report, ECL reconciliation report, Gross carrying amount reconciliation reports, Set of Sensitivity tests).

Business Value
Reduced effort for data consolidation and IFRS9 measurements calculation and simplified scenario-based testing of PD and LGD models, that helps to identify weaknesses in portfolio management and start the optimization process on time.
AUTOMATION OF ASSET-LIABILITIES MANAGEMENT & FUND TRANSFER PRICING
Customer
Large bank in Vietnam with 113 branches and transaction offices, honourably awarded "Best Core Bank in Vietnam” in 2021 year

Task
Automate Asset/Liability Management process to measure and monitor liquidity, interest rate and FX risks.

Outcomes
During this project, ALM/FTP in-house excel tools were replaced with holistic fully automated treasury management solution. Besides standard ALM/FTP functionality, bank was provided with “What- if” scenario analysis toolkit for stress testing and with customized ALCO reporting pack.

Business Value
New solution ensures improved efficiency of risk management and performance of the different business units as well as regulatory compliance.
DEVELOPMENT OF PD, LGD MODELS AND MACRO ADJUSTMENT FOR BANKS
Customer
A number of banks in Europe, Africa and Middle East countries

Task
To comply with the requirements of regional and European regulators in terms of the IFRS9 financial reporting standard, the banks should develop models for assessing the borrowers' credit risk: default probability models, loss given default models and macroeconomic adjustment models.

Outcomes
A developed stack of models estimating observed default rates (ODR) using a vintage approach, a number of implemented algorithms for fitting parametric curves to ODR (including Weibull-Pareto, Cox PH, Gen Gamma, RF, etc.). LGD models, automated backtesting procedures, and macroeconomic adjustment models (regression models and SVMs) have been developed. A series of successful external audits of Big-4 companies (EY, PWC) has been conducted.

Loan Origination Platform

Сomprehensive low code lending platform built in a microservice architecture, providing fast product launches and flexible business process changes

Challenges

Quick launch
of new products
1
A unique product offering for the client
2
Flexibility
of business processes
3
Seamless integration with any services
4

Challenges

1

Quick launch of new products

2

A unique product offering for the client

3

Flexibility of business processes

4

Seamless integration with any services

Main features

Flexible and easily customizable business processes

Full lifecycle of loan application processing

Fast product launch based on low code development

Proactive omnichannel product promotion

Customized decision strategy using business rules and ML

Seamless and fast integration with internal and external services

Modern microservice and micro frontends approach

Based on the best-of-breed open-source software components

Web & Mobile Banking

Create innovative internet/mobile banking solution that allows to construct personalized user experience for your customers based on the most modern technologies and open source platforms

Challenges

Improve your existing clients lifestyle and attract new ones
1
Predict and reduce client churn and improve the quality of communication
2
Build Super App with modern easy-to-use interface
3
Reduce time-to-market for a new products
4

Challenges

1

Improve your existing clients lifestyle and attract new ones

2

Predict and reduce client churn and improve the quality of communication

3

Build Super App with modern easy-to-use interface

4

Reduce time-to-market for a new products

Main features

An interface based on the best UX/UI practices, combining business goals and customer expectations

Easy secured integrations with internal and external services using Open API specification

Fast and safe product and process customization due to modern microservice architecture

Remote exchange of bank documents using electronic signatures

ALM

An AI-drive ALM solution based on Enterprise risk management system Finastra Fusion Risk which allows financial institutions to perform automated dynamic management of assets and liabilities structure (ALM), profitability and allocation of bank funds (FTP), as well as interest rate risk in the banking book (IRRBB)

Challenges

Measure impacts of various stress scenarios on all key performance ratios of the banks including provision, profitability, liquidity and capital
1
Motivate profitable actions to achieve bank's goals on a consistent basis
2
Evaluate the feasibility of the proposed balance sheet optimization and predictive techniques when applied to a reasonably complex real-life problem
3
Determine the “cost of funds” for the asset business and the “revenue on funds” for the liability business
4

Challenges

1

Measure impacts of various stress scenarios on all key performance ratios of the banks including provision, profitability, liquidity and capital

2

Motivate profitable actions to achieve bank's goals on a consistent basis

3

Evaluate the feasibility of the proposed balance sheet optimization and predictive techniques when applied to a reasonably complex real-life problem

4

Determine the “cost of funds” for the asset business and the “revenue on funds” for the liability business

Main features

Advanced machine learning techniques to measure impact of crisis scenario on bank’s key performance ratios

Measure product profitability by providing market-based costs/revenues for each asset and liability

Insulate products from interest rate risk as much as possible by providing hedges based on market data and the inherent balance sheet dynamics

Manage and optimize the credit portfolio resulting of the forecast defaulted impacts on provisions amount

Facilitate Performance evaluation (of profit centers, products, and customers)

Decision-making

Replace humans and legacy IT systems by the next generation cloud-based
ML-driven decision management solution

Challenges

Increase effectiveness of the sales funnel. More sales without increasing accepted risk
1
Increase the number of products per customer and the bank's share in customer's wallet
2
Maximize customer lifetime value (LTV) & predict and reduce customer churn
3
Reduce cost and increase speed of loan decision-making and loan origination
4

Challenges

1

Increase effectiveness of the sales funnel. More sales without increasing accepted risk

2

Increase the number of products per customer and the bank's share in customer's wallet

3

Maximize customer lifetime value (LTV) & predict and reduce customer churn

4

Reduce cost and increase speed of loan decision-making and loan origination

Main features

Quick implementation thanks to the standard out-of-the-box configurations

Insulate products from interest rate risk as much as possible by providing hedges based on market data and the inherent balance sheet dynamics

Manage and optimize the credit portfolio resulting of the forecast defaulted impacts on provisions amount

Facilitate Performance evaluation (of profit centers, products, and customers)

IFRS9

Enterprise risk management system Finastra Fusion Risk with IFRS9 functionality supplemented by a framework for regular PD/LGD models training and validation

Challenges

Receive end-to-end automation of IFRS9 requirements: financial instrument classification, measurements, evaluation of expected credit losses (ECL)
1
Improve assessment of the probability of default to achieve adequate and sufficient provisions
2
Create a framework for regular PD and LGD models training and validation given the dynamics of the bank's asset portfolio quality
3

Challenges

1

Receive end-to-end automation of IFRS9 requirements: financial instrument classification, measurements, evaluation of expected credit losses (ECL)

2

Improve assessment of the probability of default to achieve adequate and sufficient provisions

3

Create a framework for regular PD and LGD models training and validation given the dynamics of the bank's asset portfolio quality

Main features

Quick implementation thanks to the standard out-of-the-box configurations

Early Warning System (EWS) triggers for Stage II to measure, monitor and mitigate industry risk with forward looking trends

Modelling framework to meet regulatory requirements and internal risk assessment methodologies while maintaining adequate provision

Cloud service available: IFRS9 SaaS with Lakehouse for models development and validation

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