Speakers – Americas

AI in Payments & Cybersecurity Risk Summit

Jennifer Yager

AML Compliance Manager

Jennifer Yager

Frank Badalamenti

Principal

Frank Badalamenti

As a Partner in PwC’s Cyber, Privacy & Forensics practice and PwC’s Financial Crimes Unit, Frank assists clients with the assessment and remediation of operational, compliance, and technology-related risks, and in the development of an effective compliance and internal control environment. He specializes in advising financial institution clients on matters related to financial crimes, specifically with respect to fraud, anti-money laundering, sanctions, bribery and corruption, and securities trading schemes, as well as matters related to operational failures in areas including regulatory trade reporting, sales practices, suitability, and disclosures. He carries practice management responsibilities both local and national. Clients who find themselves under pressure respect Frank’s calm, deliberate, informed perspective, his deep industry knowledge gained from over 22 years advising the firm’s clients and his first-hand experience garnered from having worked in industry as deputy chief auditor of a foreign financial institution with operations in several regions including North America and Latin America.

Frank has significant experience successfully spearheading large complex projects, spanning functions, geography, and lines of business. These include the analysis of data, processes, and the use of enabling technology pertinent to products and services within the financial services industry, including with respect to customer onboarding, KYC, sanctions screening, and transaction monitoring systems.  He has worked with clients and client counsel to investigate alleged internal and external fraud, to respond to regulatory inquiries and orders, to respond to electronic discovery requests, to prepare expert testimony for civil litigation, and with other related matters.  With a track record for helping clients overcome significant regulatory compliance and operational risk challenges, Frank has led some of the largest and most complex investigative analytics engagements the firm has undertaken to date.

Prior to re-joining PwC in 2011, Frank was Deputy Chief Auditor of the US Branches of Bank Hapoalim B.M., where he was responsible for directing and executing a range of functional, process, and compliance audits in the Miami and New York branches, including BSA/AML Compliance, conducting special investigations, reporting results to Senior Management and Head Office overseas, and participating in the regulatory examination process. This has provided Frank with the invaluable experience of having walked in his client’s shoes.

Frank is a Certified Fraud Examiner, and member of the Association of Certified Anti-Money Laundering Specialists and the Association of Certified Financial Crime Specialists.  An accomplished speaker and coach, Frank has led national training efforts in Forensic Technology for PwC’s Advisory practice. He earned his B.S. degrees in Electrical & Computer Engineering and Biomedical Engineering from Duke University.

James Lee

Managing Director, Analytics and Cloud Transformation

James Lee

James Lee is a senior technology executive and management consulting leader specializing in advising global financial services organizations on “cloud first, data-driven” digital transformation (from strategy to execution) with data and analytics, AI and intelligent automation. He has over 20 years of strategy consulting and technology operation experience in North America, Asia and Europe that spanned across various industries including insurance, banking, asset and wealth management, private equity and telecommunications.

Alvin Richards

Field CTO

Alvin Richards

Lian Yu

Vice President, Model Risk Management

Lian Yu

Lian Yu is Vice President, Quantitative Analytics Specialist within the Corporate Model Risk group at Wells Fargo. She is responsible for validating and approving artificial intelligence/machine learning models including Fraud and Operations Risk. Prior to her current position, Lian was responsible for model development for transactional fraud models at Visa.

Lian is passionate about developing quantitative talent and fostering a culture of responsibility and intellectual curiosity. She has a Master’s degree in System Engineering and a Ph.D. in Industrial Engineering and Operations Research.

Ati Azemoun

VP of Business Development

Ati Azemoun

Ati Azemoun is the VP of Business Development at Parascript responsible for partner alignment, new business development, and revenue growth for all deposit automation, item processing, and payment transaction related solutions. With extensive sales management experience, Ati Azemoun supports the delivery of Parascript recognition technology for OEM solutions to the Financial Services, Insurance, and Government industry verticals through a variety of ISV partners, as well as specialized services extended through BPO and reseller channels throughout the world.

For the past 15 years, Ati has worked with the leading recognition technology providing exceptional solutions in the FinTech Industry, ranging from traditional check (cheque) capture solutions, such as Mobile and other RDC processes, through to Fraud and Risk solutions, as well as back-office Compliance Systems.

Sree Pradhip

Data Architect

Sree Pradhip

Sree Pradhip has over 20 years of diverse experience in IT across Engineering, Product Management, Consulting and Sales functions. He has worked across many industry verticals with a passion for solving business problems leveraging technology. As a Data Architect at DataStax, his current focus is to enable Enterprises and Developers in their data driven journey. He leads the Industry Verticals program to further strengthen DataStax’s position in Banking and Financial Services.

Musa Kajee

Senior Manager, Analytics

Musa Kajee

Musa Kajee is a Senior Manager at TD Bank where he leads an Analytics team focused on creating commercially viable outcomes by being delivering analytic solutions that are aligned to key business objectives. His industry experience spans 10 years encompassing global top tier Banking and Insurance Providers as well as Management Consulting with a focus on progressing businesses through the application of Advanced Analytics, Machine Learning and modelling. His expertise is centered around building Data Science teams from the ground up to deliver real business value at scale.

Shane Artis

Distinguished Engineer, Executive Director

Shane Artis

Shane Artis joined Morgan Stanley in 1996 and currently holds the title of Distinguished Engineer in the Legal, Compliance, and Governance Technology (LCG) organization. Shane recently built and managed the first firmwide Fraud Technology program and is currently managing integration of E*TRADE’s Fraud, AML, and Compliance technology team along with other programs. He serves as a member of several firmwide committees including the AI/Machine Learning Steering Committee, AI/ML Change Agents, Firm AI/ML Innovation Collaboration, Data Captains & Cloud Captains, Institutional & Corporate Architecture Group, Systems Reliability Engineer Working Group, and several others.

Shane received degrees in Biomedical Engineering and Computer Science from MIT, where his research and publications leveraged neural networks and machine learning techniques. He subsequently joined a technology startup as director and developer, creating products for real-time market data analytics and machine learning. Both products were sold to global banking and finance firms including Morgan Stanley. Outside the firm Shane serves as a board member of the Pets Are Wonderful Support (PAWS) charitable organization and is a member of their governance committee.

Francisco Roche

Business Intelligence & Analytics Manager, SVP

Francisco Roche

Is a senior manager at Amerant Bank, where he oversees the Business Intelligence and Analytics team for the company’s Business and Marketing divisions. My team has concentrated on offering business intelligence and advanced analytics solutions that increase customer experience and business efficiency while remaining consistent with the company’s strategic objectives. I have worked in the banking industry for over 15 years.
Francisco holds a Master of Science in Predictive Analytics at Northwestern University and an MBA form IESA

Anne Archer

Director Enterprise Fraud Strategy

Anne Archer

Anne Archer joined Atlantic Union Bank with their acquisition of Xenith Bankshares in 2018, and currently serves as the VP, Director Enterprise Fraud Strategy. She oversees the Bank’s enterprise fraud risk strategy, including risk assessments, education and awareness, program governance, fraud investigations, and threat intelligence.

Since joining Atlantic Union Bank, Anne has held positions of increasing responsibility serving as the FIU Enterprise Quality Supervisor, the Deputy BSA Officer, and as the Fraud Risk Manager. Prior to joining Atlantic Union, she served as the BSA Officer for Xenith Bankshares, and held various positions in BSA Compliance with United Bankshares Inc. Anne has a liberal arts degree from West Virginia University and is a Certified Anti-Money Laundering Specialist.

Outside of the office, Anne enjoys spending time with her family, reading a good mystery, and sketching.

Enrico Gianotti

Lead Data Scientist - Fraud & AML

Enrico Gianotti

Enrico leads the Modelling team for the Corporate Security department at Banco Bradesco S.A., managing the full model lifecycle for Application Fraud, Transactional Fraud and AML. His duties include Model Risk governance, reporting to senior executives and committees, and engaging with suppliers for external models and solutions.

Past responsibilities include Analytics, MIS, and fraud risk evaluation/mitigation in new product launches. Further past experiences include Credit Risk and the Telecommunication sector.

He earned a Master’s in Mathematics, before specializing in Banking and earning a PhD in Strategic Management. His research themes are Fraud/AML, Innovation and IoT.

His most recent publication is the article “Strategic Management of Credit Card Fraud: Stakeholder mapping of a card issuer” in the Journal of Financial Crime.

Francisco Rivadeneyra

Director, CBDC and FinTech Policy

Francisco Rivadeneyra

Francisco Rivadeneyra in the Director for CBDC & FinTech Policy and Research at the Bank of Canada. In this role he leads a team developing policy advice in areas of central bank digital currency, electronic money and payments, and the implications for central banks of broader financial innovations. He also is an active researcher working in the intersection of technology, payments infrastructures and finance. His current research studies the security and convenience trade-off of digital currencies and the use of artificial intelligence in the liquidity management problem of commercial banks. His previous work has been on the management of domestic debt and foreign reserves for the Government of Canada.

Mr. Rivadeneyra holds a PhD in Economics from the University of Chicago.

Gustavo Botelho de Souza

AI Tech Leader

Gustavo Botelho de Souza

PhD in Computer Science by Federal University of São Carlos (UFSCar) with projects in Data Science and Artificial Intelligence, Gustavo Botelho is currently Senior Advisor in Artificial Intelligence at Banco do Brasil, one of the major public Brazilian banks and also Graduate Professor in Artificial Intelligence at IESB. He has also an MBA degree in People Management and was a Short-Term Scholar at Michigan State University (MSU).

Vishal Srivastava

Vice President

Vishal Srivastava

The Vice President in Citi Bank’s Model Risk Management Division. He was invited as a Keynote speaker to present on Fraud Analytics using Machine Learning at the International Automation in Banking Summit in New York in November 2019. Vishal has experiences in quantitative risk modeling using advanced engineering, statistical and machine learning technologies. His academic qualifications in combination with a PhD in Chemical Engineering and an MBA in Finance have enabled him to challenge quantitative risk models with a scientific rigor. Vishal’s doctoral thesis included the development of statistical and machine learning based risk models—some of which are currently being used commercially. Vishal has 120+ peer-reviewed citations in areas such as risk management, quantitative modeling, machine learning and predictive analytics.

PhD Dissertation:
Quantitative Risk Modeling of Hydrate Bedding using Mechanistic, Statistical, and Artificial Neural Network Frameworks

Dr. Nitesh Soni

Director - Advanced Analytics & AI

Dr. Nitesh Soni

Nitesh Soni is a Director at Scotiabank where he is leading end-to-end advanced analytics and AI projects for Business Functions areas. His career spans over 15 years across top tier banks, consulting firm and world leading research institutes with a core expertise in Predictive modeling, Machine Learning, AI and Big Data. He is a regular speaker at the various national and international conferences. While as a researcher, he has been a part of a couple of major discovery experiments and has won few prestigious awards. He holds a PhD degree in Experimental Particle Physics.

Venediktos Iroidis

Manager

Venediktos Iroidis

Venediktos Iroidis is a Manager at Be Shaping the Future | UK, a London management consultancy for financial services organisations. He has several years experience in the financial services consultancy as prior to joining Be Shaping the Future in 2017, he was a Business and Integration Consultant at Accenture and Business Design Analyst within Barclaycard Regulatory and Compliance team.

Venediktos developed a benchmarking report on Identity Management in the past, which helped retailers and payment companies understand how innovation is transforming the customer journey. He is still seeing how new technology trends are evolving and transforming the identity management. Prior to this, he has been instrumental to many projects in Financial Crime, Onboarding customer journey and Fraud & Risk Compliance designing and evaluating policies, ensuring regulatory compliance and addressing breaches of AML, KYC and Sanctions. He has good grasp of establishing control mechanisms, evaluating and reporting outcomes of compliance procedures across multiple markets.

Masha Cilliers

Payment Industry Specialist

Masha Cilliers

Masha Cilliers is a senior professional with over 25 years’ experience in payments across online and customer present channels, fraud and identity management, payment and related regulation compliance. With a special passion for payment innovation, new payment models such as marketplaces and fintechs and growth and expansion strategy.

Masha is a Specialist Partner at the consultancy firm Be | Shaping the Future, as well as a Principal Consultant at Payment Options Ltd, Board Advisor to Limonetik and a Non-Executive Director at two UK fintechs PaySME and Trust Payments. Prior to becoming a consultant and an advisor, she held a variety of senior appointments within the payments industry including at MasterCard, Visa, Microsoft, Cybersource and Ingenico. She has a track record in delivering complex payment solutions for a broad range of merchants from enterprise to SMEs as well as for payment facilitators and marketplaces. Masha is a frequent speaker at conferences, events and webinars as well as making appearances on BBC and in various publications such as Financial Times.

Ritesh Jain

Co-Founder

Ritesh Jain

Ritesh is a Co-Founder at Infynit – Humanising Credit and Credit Cards, he is a Former COO at HSBC. He is an Entrepreneurial Technology Leader & Board Advisor with global experience across various sectors including Payments & Banking, He led the future of payments for VISA and introduced Apple Pay, built a wealth management company as a founder CTO. Presently, he is a member of a G20 Initiative for financial inclusion; Advisor to Open Banking in EU & Africa, Harvard Business Review (HBR), payment regulators and government bodies for the initiative in social and financial inclusion and a member of MIT Global Tech Panel. Past roles include mentor to the UK Parliament Digital Service & Startups.

Manuela Veloso

Head of AI Research

Manuela Veloso

Manuela M. Veloso is the Head of J.P. Morgan AI Research, which pursues fundamental research in areas of core relevance to financial services, including data mining and cryptography, machine learning, explainability, and human-AI interaction. J.P. Morgan AI Research partners with applied
data analytics teams across the firm as well as with leading academic institutions globally.

Professor Veloso is on leave from Carnegie Mellon University as the Herbert A. Simon University Professor in the School of Computer Science, and the past Head of the Machine Learning Department. With her students, she had led research in AI, with a focus on robotics and machine learning, having concretely researched and developed a variety of autonomous robots, including teams of soccer robots, and mobile service robots. Her robot soccer teams have been RoboCup world champions several times, and the CoBot mobile robots have autonomously navigated for more than 1,000km in university buildings.

Professor Veloso is the Past President of AAAI, (the Association for the Advancement of Artificial Intelligence), and the co-founder, Trustee, and Past President of RoboCup. Professor Veloso has been recognized with a multiple honors, including being a Fellow of the ACM, IEEE, AAAS, and AAAI. She is the recipient of several best paper awards, the Einstein Chair of the Chinese Academy of Science, the ACM/SIGART Autonomous Agents Research Award, an NSF Career Award, and the Allen Newell Medal for Excellence in Research.

Professor Veloso earned a Bachelor and Master of Science degrees in Electrical and Computer Engineering from Instituto Superior Tecnico in Lisbon, Portugal, a Master of Arts in Computer Science from Boston University, and Master of Science and PhD in Computer Science from Carnegie Mellon University. See www.cs.cmu.edu/~mmv/Veloso.html for her scientific publications.

Aldo Finetti

Director de IA

Aldo Finetti

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