Tomas Kybartas Email & Phone Number
@westernunion.com
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Who is Tomas Kybartas? Overview
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Tomas Kybartas is listed as Senior Business Analyst at Danske Bank, a with 18332 employees, based in Lithuania. AeroLeads shows a work email signal at westernunion.com and a matched LinkedIn profile for Tomas Kybartas.
Tomas Kybartas previously worked as Fraud Risk Manager at Gearbubble, Llc and Fraud Risk Manager at Gearbubble, Llc. Tomas Kybartas holds Bachelor’S Degree, Economics from Vilniaus Universitetas.
Email format at Danske Bank
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About Tomas Kybartas
I am an expert in Online Payments and Fraud/Chargeback Risk from A to Z with over 9 years of experience in the field. Capable of setting up and maintaining top-tier SOPs and risk processes for your E-Commerce business.
Listed skills include Microsoft Office, Fraud Detection, Risk Management, Sql, and 33 others.
Tomas Kybartas's current company
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Tomas Kybartas work experience
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Fraud Risk Manager
Fraud Risk Manager
- Overall Merchant ID Risk Management- Anti-Fraud Team Management- Stripe & Braintree Platform risk assessment- Fraud & Chargeback Mitigation: Rules' setup, Live Fraud Monitoring, SOPs and other process documentation
Fraud Consultant
- Fraud Risk Consulting services- Rules' Engine Development & assessment- Machine Learning Engine Development & assessment- AD-HOC Reporting
Risk Manager
- General Digital Risk overview and performance analytics/development.- Reporting analytics and development.- Card Not Present (CNP) Fraud mitigation.- Chargeback dispute process development.- Team Management.- Stripe's Rules development, performance analytics & adjustment.
Senior Fraud Analyst / Non-Technical Product Owner
- In-depth analysis of the Digital Payment & E-Commerce Fraud (CNP), it's monitoring.- Fraud/risk preventing rule's creation and adjustment.- Risk modelling.- Cross communication with AI team to create the most efficient fraud preventing engine; personal hands-on experience with TensorFlow.- Data mining & drafting / synthesization.- Data analysis.- Owning the development of a main Product (The Risk Engine) and other side-Products from a Non-Technical perspective.-… Show more - In-depth analysis of the Digital Payment & E-Commerce Fraud (CNP), it's monitoring.- Fraud/risk preventing rule's creation and adjustment.- Risk modelling.- Cross communication with AI team to create the most efficient fraud preventing engine; personal hands-on experience with TensorFlow.- Data mining & drafting / synthesization.- Data analysis.- Owning the development of a main Product (The Risk Engine) and other side-Products from a Non-Technical perspective.- Direct work with Agile environment.- Data Analysis & Modelling with Python & Excel. Show less
Business Intelligence Analyst
- Chargeback Analysis & Dispute Process development.- Overview of 120+ different Merchant IDs and their performance analytics.- Bank outreach.
Senior Fraud Analyst
- Client Portfolio overlook.- High risk payment analysis.- Reporting & Advanced Report creation.- Data mining.- Decision Making on whether to allow customers transact on the platform or not.
Risk Analyst, Wu Digital Risk
- Ownership of the regional risk management metrics, KPI's and targets.- Ongoing monitoring of the health of the business reporting.- Providing continuous readouts on the EMEA Risk and Payments performance.- Providing recommendations to enhance fraud and risk processes, managing optimal fraud rates (fraud loss reduction, identification of incremental revenue opportunities and maximization of acceptance rates).- Providing innovative solutions to build the best in industry… Show more - Ownership of the regional risk management metrics, KPI's and targets.- Ongoing monitoring of the health of the business reporting.- Providing continuous readouts on the EMEA Risk and Payments performance.- Providing recommendations to enhance fraud and risk processes, managing optimal fraud rates (fraud loss reduction, identification of incremental revenue opportunities and maximization of acceptance rates).- Providing innovative solutions to build the best in industry payments product.- Monitoring of the key risk operational functions.- Providing input and direction on key fraud and payments projects.- Implementing fraud and payments initiatives.- Analysis and optimization of systems, tools, operations, 3rd party vendors, payment providers.- Collaborating with the Risk team to build regional fraud models.- Assisting in the delivery of a regional fraud payments and fraud strategy.- Involvement in the majority of Digital related projects from research to implementation.- Data Mining with SQL.- Data Analysis & Modelling with Python & Excel. Show less
Analyst
- Live monitoring of all Card & Bank funded transactions made online on WU.com.- Analyzing huge blocks of data to detect & identify fraud and fraud patterns.- Developing and improving tools to detect fraud and fraud patterns of transactions made on WU.com.- Tool testing and in-depth analysis.- On the Spot Decision making on whether the patterns detected are fraudulent or not.- Work with cross-functional teams (Decision Science, Digital Review Team, Sentinel) to improve the… Show more - Live monitoring of all Card & Bank funded transactions made online on WU.com.- Analyzing huge blocks of data to detect & identify fraud and fraud patterns.- Developing and improving tools to detect fraud and fraud patterns of transactions made on WU.com.- Tool testing and in-depth analysis.- On the Spot Decision making on whether the patterns detected are fraudulent or not.- Work with cross-functional teams (Decision Science, Digital Review Team, Sentinel) to improve the risk engine, notify other departments of current and possible digital fraud activity, and to stop any possible Money Laundering / Terrorist Financing scenarios. - Data Mining (SQL). Show less
Specialist
- 1 by 1 review of High Risk Transactions made online on WU.com.- Conduct analysis of transactional and customer records to link unidentified transactions and accounts to known fraudulent activity.- Assess and recommend risk decision rule changes to manage new fraud patterns.- Data Mining (SQL)- On the Spot decision making whether to let the transaction go through or stop it.- Contacting customers if need be.
Sales Manager
Customer service, asset sales of IT-related products.
Colleagues at Danske Bank
Other employees you can reach at danskebank.com. View company contacts for 18332 employees →
Timo Raitala
Colleague at Danske BankHelsinki, Uusimaa, Finland
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TK
Tina Krøis
Colleague at Danske BankRegion Zealand, Denmark
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CD
Claus Dahl Nielsen
Colleague at Danske BankCopenhagen, Capital Region Of Denmark, Denmark
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RB
Razmus Berglund
Colleague at Danske BankLinköping, Östergötland County, Sweden
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PF
Pontus Fryk
Colleague at Danske BankTrollhättan, Västra Götaland County, Sweden
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AT
Annette Thage
Colleague at Danske BankRegion Zealand, Denmark
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AT
Andreas Terp
Colleague at Danske BankAarhus, Central Denmark Region, Denmark
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MA
Mads Ahm
Colleague at Danske BankCopenhagen, Capital Region Of Denmark, Denmark
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ŠP
Šarūnas Puidokas
Colleague at Danske BankLithuania
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HK
Henrik Kring Rasmussen
Colleague at Danske BankCopenhagen, Capital Region Of Denmark, Denmark
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Tomas Kybartas education
Frequently asked questions about Tomas Kybartas
Quick answers generated from the profile data available on this page.
What company does Tomas Kybartas work for?
Tomas Kybartas works for Danske Bank.
What is Tomas Kybartas's role at Danske Bank?
Tomas Kybartas is listed as Senior Business Analyst at Danske Bank.
What is Tomas Kybartas's email address?
AeroLeads has found 1 work email signal at @westernunion.com for Tomas Kybartas at Danske Bank.
Where is Tomas Kybartas based?
Tomas Kybartas is based in Lithuania while working with Danske Bank.
What companies has Tomas Kybartas worked for?
Tomas Kybartas has worked for Danske Bank, Gearbubble, Llc, Research For Good Inc., Cyberghost, and Envision&Company Ltd.
Who are Tomas Kybartas's colleagues at Danske Bank?
Tomas Kybartas's colleagues at Danske Bank include Timo Raitala, Tina Krøis, Claus Dahl Nielsen, Razmus Berglund, and Pontus Fryk.
How can I contact Tomas Kybartas?
You can use AeroLeads to view verified contact signals for Tomas Kybartas at Danske Bank, including work email, phone, and LinkedIn data when available.
What schools did Tomas Kybartas attend?
Tomas Kybartas holds Bachelor’S Degree, Economics from Vilniaus Universitetas.
What skills is Tomas Kybartas known for?
Tomas Kybartas is listed with skills including Microsoft Office, Fraud Detection, Risk Management, Sql, Teamwork, Management, Analytical Skills, and Microsoft Excel.
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