Prashant Kaushik Email & Phone Number
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Prashant Kaushik is listed as Senior Vice President- Compliance Technology & Data Analytics - B.E, MBA. CAMS at First Abu Dhabi Bank (FAB), a with 10747 employees, based in Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates. AeroLeads shows a matched LinkedIn profile for Prashant Kaushik.
Prashant Kaushik previously worked as Senior Vice President at First Abu Dhabi Bank (Fab) and Vice President - Head of AML tuning & Data Analytics at First Abu Dhabi Bank (Fab). Prashant Kaushik holds Postgraduate Diploma, Finance, Distinction from Sies College Of Management Studies - India.
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About Prashant Kaushik
MBA (Finance Major) with an engineering background, coupled with 18+ years of work experience currently working as Acting Head - Compliance Technology, Data & Reporting unit with First Abu Dhabi Bank (FAB) in under Group Compliance leading a team of 15 data analysts/data engineers/project managers covering compliance systems across Transaction Monitoring, Sanctions, Enterprise Wide Risk Assessment (EWRA), Financial Crime & Data Analytics platforms, Customer Risk Assessment Module (CRAM),FATCA CRS & reporting systems across the FAB group (UAE & 15 International Locations). Extensive experience in Implementing & Validating machine learning models using SAS Financial Crime Analytics product suite(SAS Visual Data Mining & Machine Learning, SAS Visual Statistics, SAS Visual Investigator, SAS Visual Analytics, SAS Visual Text Analytics, SAS Data Management, SAS Model Management, SAS/Access) to reduce false positives, enhance the investigations with network visualization and improve the detection of new typologies.Driving Innovation across functions, working on multiple POCs to improve the effectiveness of group wide transaction monitoring system. Established the Targeted Optimization framework to monitor efficiency (analyze the alerts generated) of Global TM models across all regions and remediate any observed shortfall (reduce false positives and improve efficiency as appropriate) by liaising directly with various Country Compliance Stakeholders to understand their AML requirements, concerns, and optimized Transaction Monitoring systems accordingly. Experienced professional to improve the effectiveness of Transaction Monitoring system through various programs like Alert Optimization through customer and alert scoring, Initial Threshold Settings, Ongoing Threshold Tuning - Scenario effectiveness review, Dynamic Customer Segmentation, Alert Hibernation, Visualization of various AML themes to track the global flow of funds through various jurisdictions and correspondent banking network, Statistical customer risk scorecard and Alert Post Processing. Knowledgeable in effectively managing audit and regulatory relationships with technical oversight. Well-honed decision-making skills combined with an open and accessible management style, emphasizing individual empowerment and team development. Expert in AML Tuning for initial & ongoing tuning to deploy optimized thresholds to improve the quality of alerts.
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Prashant Kaushik work experience
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Vice President - Head Of Aml Tuning & Data Analytics
Leading a team of 8 Technology professionals (Data Analysts/Data Engineers) across the Compliance landscape covering Transaction Monitoring systems, AML data analytics, Regulatory Compliance & KYC systems in line with the local & International regulations across the AML/CTF & Regulatory space. Manage all relevant AML compliance system changes required in the existing platform as per business requirements are well coordinated as change requests with Group IT setting timelines, creating programme structures and installing/updating systems architecture where appropriate to support compliance capabilities for major changes.Manage and control proper fit for purpose Detection Scenarios are deployed for the Group with required segmentation and threshold as per agreement with MLRO and to work on continuous tuning to improve the quality of alerts.Periodically consult with compliance SMEs to get inputs on system, data and reporting requirements and drive projects from conceptualization through implementation. Implementing & Validating machine learning models using SAS Financial Crime Analytics product suite(SAS Visual Data Mining & Machine Learning, SAS Visual Statistics, SAS Visual Investigator, SAS Visual Analytics, SAS Visual Text Analytics, SAS Data Management, SAS Model Management, SAS/Access) to reduce false positives, enhance the investigations with network visualization and improve the detection of new typologies. improve the effectiveness of Transaction Monitoring system through various programs like Alert Optimization through customer and alert scoring, Initial Threshold Settings, Ongoing Threshold Tuning - Scenario effectiveness review, Dynamic Customer Segmentation, Alert Hibernation, Visualization of various AML themes to track the global flow of funds through various jurisdictions and correspondent banking network, Statistical customer risk scorecard and Alert Post Processing.
Assistant Vice President
Develop Customer Segmentation models to ensure targeted AML monitoring in line with customer profile. Interface liaison between Group IT & Compliance teams in addressing production issues, building operational reports & new requirements in SAS AML 4.2 version.Implement the SAS AML 7.1 solution product suite using a combination of their Out of the Box & customized scenarios in line with the local & International AML/CTF regulations.Mapping of the scenarios/rule based engine to the AML typologies issued by UAE Central Bank & FATFSubject Matter expert on setting, reviewing and revising of optimal thresholds for the SAS AML Transaction monitoring system to ensure reduction in false positive alert generation for the entire bank across UAE and its foreign branches spread across 7 locations (Qatar, Kuwait, Egypt, Bahrain, London, Hong Kong & UK)Set up an Initial threshold setting methodology which includes segmentation, tuning, Alert risk scoring and sampling methodologies for SAS data modelUtilize data trends, data distribution, data patterns, descriptive statistics, statistical analysis, predictive modeling and analytics to set up parameters and Alert scoring factors for tuning SAS based rules.Validate SAS model logic is working as per the specification and thresholds are working correctly and identify strategy and Validate alert risk scoring functionality in SASPerform data analysis and derive trends on transactional behavior patterns helping senior management to take decisions on the way forward with regards to AML and sanction related policy.Identifying and evaluating inefficiencies and recommending optimal business practices, and system functionality and behavior.Conducting thematic reviews based on the market intelligence reports on the AML and Sanctions front to identify customers requiring transactional reviews.Investigating cases by analyzing transactional behavior for AML & Sanctions concerns in line with the FATF and UAE Central Bank regulations
Business Analyst
Domain : Anti Money LaunderingClient : Qatar National Bank.Implement the SAS AML 4.2 solution product suite using a combination of their Out of the Box & customized scenarios in line with the local & International AML/CTF regulations.Mapping of the scenarios/rule based engine to the AML typologies issued by Qatar Central Bank & FATFSubject Matter expert on setting, reviewing and revising of optimal thresholds for the SAS AML Transaction monitoring system to ensure reduction in false positive alert generation for the entire bank across Qatar and its foreign branches (Kuwait, Egypt, Bahrain, UK, Lebanon, France )Set up an Initial threshold setting methodology which includes segmentation, tuning, Alert risk scoring and sampling methodologies for SAS data modelUtilize data trends, data distribution, data patterns, descriptive statistics, statistical analysis, predictive modeling and analytics to set up parameters and Alert scoring factors for tuning SAS based rules.Validate SAS model logic is working as per the specification and thresholds are working correctly and identify strategy and Validate alert risk scoring functionality in SASPerform data analysis and derive trends on transactional behavior patterns helping senior management to take decisions on the way forward with regards to AML and sanction related policy.Identifying and evaluating inefficiencies and recommending optimal business practices, and system functionality and behavior.Conducting thematic reviews based on the market intelligence reports on the AML and Sanctions front to identify customers requiring transactional reviews.Investigating cases by analyzing transactional behavior for AML & Sanctions concerns in line with the FATF and Qatar Central Bank regulations
Business System Analyst
Domain: TPP (Third Party Brokerage), Wealth Management.Client : L&T FinanceWorking with users to formulate and document business requirements for calculating customer portfolios across Mutual Funds, Securities, Bonds & DepositsIdentifying, investigating, and analyzing business processes, procedures and work practicesUsing project management methodologies, principles and techniques to develop project plans and to cost, resource and manage projectsTaking responsibility for deploying functional solutions, such as creating, adopting and implementing system test plans, which ensure acceptable quality and integrity of the systemCreating user and training documentation, and conducting formal training classesDeveloping functional specifications for use by system developersUsing data and process modelling techniques to create clear system specifications for the design and development of system softwareActing as a central reference and information source, providing guidance and assistance in the system project decision making processPreparing and executing SIT as well as UAT test cases in conjunction with business to ensure end to end testing, track issues in the issue log and ensure prompt and timely resolution while liaising with the vendor.
Deputy Manager
Domain : Anti-Money Laundering. Subject Matter expert on setting, reviewing and revising of optimal thresholds for the SAS AML Transaction monitoring system to ensure reduction in false positive alert generation for the entire bank Set up an Initial threshold setting methodology which includes segmentation, tuning, Alert risk scoring and sampling methodologies for SAS data modelUtilize data trends, data distribution, data patterns, descriptive statistics, statistical analysis, predictive modeling and analytics to set up parameters and Alert scoring factors for tuning SAS based rules.Validate SAS model logic is working as per the specification and thresholds are working correctly and identify strategy and Validate alert risk scoring functionality in SASPerform data analysis and derive trends on transactional behavior patterns helping senior management to take decisions on the way forward with regards to AML and sanction related policy.Identifying and evaluating inefficiencies and recommending optimal business practices, and system functionality and behavior. Identifying, investigating, and analyzing business processes, procedures and work practicesIdentifying and evaluating inefficiencies and recommending optimal business practices, and system functionality and behavior.Taking responsibility for deploying functional solutions, such as creating, adopting and implementing system test plans, which ensure acceptable quality and integrity of the systemCreating user and training documentation, and conducting formal training classesDeveloping functional specifications for use by system developersActing as a central reference and information source, providing guidance and assistance in the system project decision making processPreparing and executing SIT as well as UAT test cases in conjunction with business to ensure end to end testing, track issues in the issue log and ensure prompt and timely resolution while liaising with the vendor.
System Analyst
Domain : Anti Money Laundering, Wealth ManagementWorking with users to formulate and document business requirements for implementing the Omni Solution for Transaction Monitoring across banks in Asia (Ahli United Bank) & Africa (Oceanic Bank)Identifying, investigating, and analyzing business processes, procedures and work practicesIdentifying and evaluating inefficiencies and recommending optimal business practices, and system functionality and behavior.Using project management methodologies, principles and techniques to develop project plans and to cost, resource and manage projectsTaking responsibility for deploying functional solutions, such as creating, adopting and implementing system test plans, which ensure acceptable quality and integrity of the systemCreating user and training documentation, and conducting formal training classesDeveloping functional specifications for use by system developersUsing data and process modelling techniques to create clear system specifications for the design and development of system softwareActing as a central reference and information source, providing guidance and assistance in the system project decision making process
Colleagues at First Abu Dhabi Bank (FAB)
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Zanjeer Hameed
Colleague at First Abu Dhabi Bank (Fab)United Arab Emirates
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Ahmad Nael Jabri
Colleague at First Abu Dhabi Bank (Fab)Dubai, United Arab Emirates
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Yip B.
Colleague at First Abu Dhabi Bank (Fab)Hong Kong, Hong Kong Sar
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Mahmoud Alkharouf
Colleague at First Abu Dhabi Bank (Fab)United Arab Emirates
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Ahmed El Shorbagy
Colleague at First Abu Dhabi Bank (Fab)Cairo, Egypt
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Gufran Memon
Colleague at First Abu Dhabi Bank (Fab)Dubai, United Arab Emirates
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Amir Alfons
Colleague at First Abu Dhabi Bank (Fab)Egypt
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Anusangeetha Mohanraj
Colleague at First Abu Dhabi Bank (Fab)United Arab Emirates
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MA
Muhammad Azhar Qadri
Colleague at First Abu Dhabi Bank (Fab)Dubai, United Arab Emirates
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Prem Kumar Sivanandan
Colleague at First Abu Dhabi Bank (Fab)United Arab Emirates
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Prashant Kaushik education
Postgraduate Diploma, Finance, Distinction
Bachelor Of Engineering - Be, Electronics And Telecommunications, Pass Claass
Education record
Master Of Business Administration - Mba, Finance And Financial Management Services, Distinction
Bachelor Of Engineering - Be, Electrical, Electronics And Communications Engineering, Pass Class
Bachelor Of Engineering - Be, Electrical, Electronics And Communications Engineering, Pass Class
Frequently asked questions about Prashant Kaushik
Quick answers generated from the profile data available on this page.
What company does Prashant Kaushik work for?
Prashant Kaushik works for First Abu Dhabi Bank (FAB).
What is Prashant Kaushik's role at First Abu Dhabi Bank (FAB)?
Prashant Kaushik is listed as Senior Vice President- Compliance Technology & Data Analytics - B.E, MBA. CAMS at First Abu Dhabi Bank (FAB).
Where is Prashant Kaushik based?
Prashant Kaushik is based in Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates while working with First Abu Dhabi Bank (FAB).
What companies has Prashant Kaushik worked for?
Prashant Kaushik has worked for First Abu Dhabi Bank (Fab), Mashreq, Wipro, Infrasoft Technologies Ltd, and Hdfc Bank.
Who are Prashant Kaushik's colleagues at First Abu Dhabi Bank (FAB)?
Prashant Kaushik's colleagues at First Abu Dhabi Bank (FAB) include Zanjeer Hameed, Ahmad Nael Jabri, Yip B., Mahmoud Alkharouf, and Ahmed El Shorbagy.
How can I contact Prashant Kaushik?
You can use AeroLeads to view verified contact signals for Prashant Kaushik at First Abu Dhabi Bank (FAB), including work email, phone, and LinkedIn data when available.
What schools did Prashant Kaushik attend?
Prashant Kaushik holds Postgraduate Diploma, Finance, Distinction from Sies College Of Management Studies - India.
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