Ernst & Young

Global professional services: consulting, assurance, tax

FinCrime AI Senior Technology Consultant

Implementation & Technical Account ManagementUpdated on Nov 14

Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

Understand high-level business requirements and relate them to appropriate anti-money laundering and financial-crime product capabilities.
Define and validate customisation needs for anti-money laundering products according to client requirements.
Review client processes and workflows and recommend ways to maximise benefits from the anti-money laundering product.
Demonstrate in-depth knowledge of banking practices and anti-money laundering product modules.
Have mandatory experience in financial crime and fraud, including financial-crime artificial intelligence roadmaps covering generative AI, agentic AI, machine learning, explainable AI, and regulatory AI use cases.
Have expert knowledge of NICE Actimize anti-money laundering solutions, including Suspicious Activity Monitoring, Watch List Management, Actimize Case Manager, and ActOne; scenario configuration, threshold tuning, alert generation, workflow configuration, sanctions screening, politically exposed person screening, adverse media screening, and alert optimisation.
Have experience with financial-crime data models, data mapping, extract-transform-load processes, REST API integrations, Java customisations, cloud, continuous integration and continuous delivery tools including Bitbucket, Jenkins, Git, and Nexus, and container technologies including Docker and Kubernetes.
Have experience with financial-crime tool and cloud implementations, and proficiency in Oracle SQL, PL/SQL, performance tuning, and application support.
Have experience with Agile methodology, application and solution technical design, workflows and interfaces, business requirements definition, analysis and mapping.
Understand big data technologies such as Spark, Hadoop, or Elasticsearch.
Have experience in at least one programming or scripting language among Python, Java, or Linux/Unix shell commands and scripting.
Have experience in end-to-end financial-crime or fraud implementation programs, including requirements gathering, solution design, configuration, system integration testing, user acceptance testing, deployment, upgrades, migrations, and cloud transformation initiatives, with hands-on delivery experience.
Have experience in cloud and continuous integration/continuous delivery in a DevOps automation environment.
Have a high-level understanding of infrastructure designs, data models, and application and business architecture.
Possess functional and operational knowledge of activities performed by various teams and be able to act as a subject matter expert.
Have thorough knowledge of anti-money laundering and counter-terrorist financing transaction monitoring, know-your-customer processes, and sanctions processes.
Have thorough knowledge of transaction monitoring and scenarios.
Have strong knowledge of Suspicious Activity Monitoring, alert investigation, suspicious activity report and suspicious transaction report processes, and anti-money-laundering risk assessment.
Have strong knowledge of Watch List Management, sanctions screening, Office of Foreign Assets Control, United Nations and European Union compliance, politically exposed person screening, and adverse media screening.
Have experience in scenario tuning, threshold optimisation, false-positive reduction, and out-of-the-box versus custom gap assessments.
Have developed or worked on one or more modules involving know your customer, customer due diligence, enhanced due diligence, sanctions screening, politically exposed person screening, adverse media screening, transaction monitoring, or case management.
Have thorough knowledge of case management workflows.
Have experience in requirements gathering, documentation, and gap analysis of out-of-the-box versus custom features.
Have experience with Agile Scrum or Kanban methodology.
Have exposure to conducting or participating in product demonstrations, training, and assessment studies.
Demonstrate analytical thinking in developing out-of-the-box solutions and an ability to provide customisation approaches and configuration mapping.
Have excellent client-facing skills.
Be able to review test cases and guide the testing team as needed.
Have an MBA, MCA, BE, BTech, or equivalent, with banking industry experience of 5 to 8 years.
Have 6 or more years of experience in anti-money laundering, financial crime, or fraud transformation.
Have 2 or more years of artificial intelligence, machine learning, or generative AI implementation experience in banking or compliance.

Responsibilities

Work as a Senior Technology Consultant on financial-crime solutions modernisation and transformation projects.
Demonstrate deep experience in financial-crime solutions during client discussions and convince clients of the proposed solution.
Lead and manage a team of technology consultants to deliver large technology programmes in the capacity of project manager.
Work as a Technical Business Systems Analyst on one or more financial-crime projects.
Interface and communicate with onsite coordinators.
Complete assigned tasks on time and provide regular status reports to the lead.
Provide regular status reports to the manager and onsite coordinators.
Interface with customer representatives as needed.
Travel to customer locations as needed.
Implement AI governance, investigator copilots, intelligent alert triaging, and case summarisation solutions.
Develop financial-crime artificial intelligence roadmaps covering generative AI, agentic AI, machine learning, explainable AI, and regulatory AI use cases.
Deliver intelligent alert prioritisation, false-positive reduction, network analytics, fraud prediction, and suspicious activity report narrative generation.

Desired Qualifications

Experience with NICE Actimize Suspicious Activity Monitoring and Watch List Management, SAS AML, FircoSoft, Oracle FCCM, Quantexa, NetReveal, or Norkom.
Knowledge of Kafka integrations and implementations.
End-to-end product implementation and transformation experience.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Job purpose:

Need to work as a Senior Technology Consultant in FinCrime solutions modernisation and transformation projects
Should exhibit deep experience in FinCrime solutions during the client discussions and be able to convince the client about the solution
Lead and manage a team of technology consultants to be able to deliver large technology programs in the capacity of project manager

Work Experience Requirements

Understand high-level business requirements and relate them to appropriate AML / FinCrime product capabilities
Define and validate customisation needs for AML products as per client requirements.
Review client processes and workflows and make recommendations to the client to maximise benefits from the AML Product.
Show in-depth knowledge on best banking practices and AML product modules
Mandatory experience in Fincrime, Fraud. FinCrime AI roadmaps covering GenAI, Agentic AI, ML, XAI and Regulatory AI use cases. Experience NICE Actimize SAM (Suspicious Activity Monitoring) and WLM (Watch List Management)., SAS AML, FircoSoft, Oracle FCCM, Quantexa, NetReveal or Norkom is an added advantage

Your client responsibilities:

Need to work as a Technical Business Systems Analyst in one or more FinCrime projects.
Interface and communicate with the onsite coordinators
Completion of assigned tasks on time and regular status reporting to the lead
Regular status reporting to the Manager and onsite coordinators
Interface with the customer representatives as and when needed
Willing to travel to the customers locations on need basis

Mandatory skills:

Technical:

Implement AI governance, investigator copilots, intelligent alert triaging and case summarization solutions.
AI roadmaps covering GenAI, Agentic AI, ML, XAI and Regulatory AI use cases.
Intelligent Alert Prioritization, False Positive Reduction, Network Analytics, Fraud Prediction and SAR Narrative Generation.
Expert in NICE Actimize AML solutions including SAM (Suspicious Activity Monitoring), WLM (Watch List Management), Actimize Case Manager (ACM) and ActOne. Strong experience in scenario configuration, threshold tuning, alert generation, workflow configuration, sanctions screening, PEP screening, adverse media screening and alert optimization.
Experience with fincrime data model, data mapping, ETL processes, REST API integrations and Java customizations. Cloud, CI/CD (Bitbucket, Jenkins, Git, Nexus) and container technologies including Docker and Kubernetes.
Experience with Fincrime tool and cloud implementations. Proficient in Oracle SQL, PL/SQL, performance tuning and application support.
Experience in Agile Methodology
Application and Solution (workflow, interface) technical design
Business requirements, definition, analysis, and mapping
Understanding of Bigdata tech such as Spark, Hadoop, or Elasticsearch
Scripting/ Programming: At least one programming/scripting language amongst Python, Java or Linux/Unix Shell commands and Scripting.
knowledge of Kafka integrations and implementations is an added advantage.
Strong experience in end-to-end Fincrime or Fraud implementation programs including requirements gathering, solution design, configuration, SIT, UAT, deployment, upgrades, migrations and cloud transformation initiatives. Hands-on delivery experience in Fincrime or Fraud implementations.
Experience in Cloud and CI/CD (Devops Automation environment)
Should Posses high-level understanding of infrastructure designs, data model and application/business architecture.
Act as the Subject Matter Expert (SME) and possess an excellent functional/operational knowledge of the activities performed by the various teams

Functional: Thorough knowledge of the AML/CTF transactions monitoring, KYC, Sanctions process
Thorough knowledge on Transaction monitoring and scenarios
Strong knowledge of Suspicious Activity Monitoring (SAM), alert investigation, SAR/STR processes and AML risk assessment.
Strong knowledge of Watch List Management (WLM), sanctions screening, OFAC/UN/EU compliance, PEP and adverse media screening.
Experience in scenario tuning, threshold optimization, false positive reduction and OOTB vs custom gap assessments.
Should have developed one or more modules worked on KYC - know your customer, CDD- customer due diligence, EDD - enhanced due diligence, sanction screening, PEP - politically exposed person, adverse media screening, TM- transaction monitoring, CM- Case Management.
Thorough knowledge of case management workflows
Experience in requirements gathering, documentation and gap analysis in OOTB (out of the box) vs custom features
Agile (Scrum or Kanban) Methodology
Exposure in conducting or participating in product demonstration, training, and assessment studies.
Analytical thinking in finding out of the box solutions with an ability to provide customization approach and configuration mapping
Excellent client-facing skills
Should be able to review the test cases and guide the testing team on need basis
End to end product implementation and transformation experience is desirable

Education and experience – Mandatory

MBA/ MCA/ BE/ BTech or equivalent with banking industry experience of 5 to 8 years
6+ years in AML/FinCrime/Fraud transformation.
2+ years of AI/ML or Generative AI implementation experience in banking or compliance.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size: 5,001-10,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Boston, MA
Founded: 1991

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