BCM -Fraud and Financial Crime-Senior | EY | Gurugram

Vskills; Gurugram District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

EY GDS in Gurugram seeks a Senior BCM - Fraud and Financial Crime to translate business needs into AML product customizations and configurations. You will define requirements, review client processes, and implement workflows across Actimize, Quantexa, and other FinCrime tools. Travel to client sites may be required.

Strong AI/ML experience and cloud/DevOps skills are preferred. You will collaborate with cross-functional teams and clients to optimize risk and compliance outcomes.

Qualifications

• Minimum 5–8 years in AML/FinCrime/Fraud transformation.
• Experience with GenAI / AI implementations in banking or compliance.
• Expert in AML/CTF monitoring, KYC, sanctions.
• Strong client-facing and documentation skills.
• Experience in cloud and DevOps with CI/CD.
• Knowledge of data modeling, ETL, REST APIs.

Responsibilities

• Work as Technical Business Systems Analyst on FinCrime projects.
• Interface with onsite coordinators and customers.
• Deliver tasks on time with status reports to leadership and clients.
• Guide testing teams and participate in product demonstrations.
• Support end-to-end product implementation and cloud transformation initiatives.

Skills

AI governance

FinCrime/Fraud

NICE Actimise

SAS AML

Cloud & CI/CD

REST API integrations

Java / Python

Kubernetes

Big data (Spark/Hadoop/Elasticsearch)

Agile Methodology

Education

MBA / MCA / BE / BTech or equivalent

Tools

NICE Actimize

FircoSoft

Oracle FCCM

Quantexa

NetReveal

Norkom

Oracle SQL/PLSQL

ETL

Job description

Job Role: BCM -Fraud and Financial Crime-Senior

• Location: Gurugram

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 Actimise 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 Actimise AML solutions including SAM (Suspicious Activity Monitoring), WLM (Watch List Management), Actimise 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

Preferred Work Location:

• This position offers flexibility to work from any EY GDS office in India, preferred Bangalore.

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.