- Developing within country bounds Risk Management Framework from the basis one, allowing to identify regulatory, strategic, financial risks and incorporating respective escalation processes.- Planning, designing and implementing risk management processes to tailor client’s financial affordability criteria underlined by strategic and regulatory requirements of in-house and Central Bank. - Producing risk reports within timely manner to support activities and suggestions of risk appetite and changes.- Driving the need and implementation of mitigation actions in response with occurring and foreseen risks in the future.- Conducting regular compliance risk investigations in relation with Central Bank, as well as similarly ensuring all required reporting activities by the company under EU regulation.- Sharing and discussing different practices within group’s abroad markets and identifying possible opportunities with respect to credit risk management’s successful application.

- Preparing and overseeing regular reports, both internally used and for the external authorities. Making sure compliant manner with the Lithuanian Bank reporting standards and several other mandatory reporting rules. Analyzing and preparing portfolio updates.- Working with numerous ad-hoc tasks from simple data gathering and presentation towards several-week analysis from different perspectives and points of view. Ensuring internal KPI measures are within the group’s overall policy for the valuable comparison and identifying possible country-specific outliers.- Overseeing several projects regarding correct compliance with the data reporting. Managing the changes needed to be made, communicating with the accordant representatives for needed implementations and monitoring post-deployment performance.- Responsible for part of the risk analysis tasks. Providing insights on possible limitation areas, impacts and further projections. Keeping track of loan performance over several segments and respond to possible outliers.- Mostly working with SQL, performing time series analyses, improving query performance with the main focus of automatization of the queries and providing as much as possible information without the further need to intervene. During the time successfully completed DataCamp career Track on “Data Analyst with SQL server” (45 hours).- Introduction with the R at the DataCamp career track of data science. Using several simple analysis techniques for the business purposes. Playing around with the visualization packages and easier data transformation.- Further implementing already learnt tactics through Excel VBA. Mainly using for the automatization of simple tasks that would require manual work otherwise. Employing VBA also in several analysis on larger datasets, with the intention of time-saving approach and preparing VBA in reusable fashion, meaning using appropriate error handling.

- Independently coordinating analytical and systematic projects delivering both to India and US users.- Communicating with Indian and US colleagues over the e-mails and phone calls. Having respectful approach for the fellow employees, embracing differences and encouraging open-mindedness for new perspectives. Continuously learning the importance of connections with partners and customers globally around the world and placing myself as a initiator of collecting major data for the projects to be successfully completed.- Minimizing repetitive tasks with Excel through MO Excel VBA commands allowing myself building any type of automated procedures and further automating the entire process of the daily report preparation, including data extraction from SQL Servers, data loading to the appropriate Excel places and required steps to be made within the file. - Developing deep understanding and background of the industry in order to improve data-driven decisions from analytical stand-point of view. Using flowcharts and SIPOC as a tools - meeting up with team leads, managers to discuss over the process flow and identify the problems, solutions and improvement areas. - Familiarizing myself with Lean methodology, for processes and information being easier to manage, reductions in manpower, increases in efficiencies and improvements in quality. All related with analytical projects and data being relevant, easy to use and understandable. Experienced in dealing with resistance of introducing the changes and improvements. Dealing with various sorts of responses, identifying body language signals, phrasing and appropriately managing further information deliverance. - Discovering data through insights, using quantitative data analysis as a help to deliver on strategic business decisions.

- Supporting daily reporting solutions using SQL Servers, SAS Business Objects.- Initiating automation possibilities of reporting through self-learnt MO Excel VBA programming, saving hundreds of hours per year in preparation.- Monitoring documentation of strategic information requirements and constructing logic per each project to be stored in a manageable and understandable manner. - Managing wide spectrum of ad-hocs, which would require additional query building in SQL/data extraction from other sources, analysis, modelling and automating in a professional way through MO Excel VBA commands, which would support external user navigation.- Initiating several key ideas which provided data-backed evidences for senior management of areas to improve within the company.- Working closely with SAP Business Objects in a way of building reports and maintaining complex data with analytical approach. - Fully understanding of HIPAA requirements and working with confidentiality protocols analyzing sensitive data.- Researching and starting learning process of Python Language.