Senior Technology Consultant - FinCrime AI

About the role

EY is hiring a Senior Technology Consultant for FinCrime AI solutions in Bengaluru. The consultant works on FinCrime solutions modernisation and transformation projects, leads a team of technology consultants as project manager and acts as a Technical Business Systems Analyst in one or more FinCrime projects.

Key responsibilities

• Work as a Senior Technology Consultant in FinCrime solutions modernisation and transformation projects, showing deep experience in FinCrime solutions during client discussions and convincing the client of the solution.
• Lead and manage a team of technology consultants to deliver large technology programs as project manager.
• Interface with onsite coordinators, complete assigned tasks on time, and give regular status reports to the lead and the manager.
• Interface with customer representatives as needed and travel to customer locations when required.
• Act as Subject Matter Expert with functional and operational knowledge of the teams' activities.

Required profile

• MBA, MCA, BE or BTech or equivalent, with 5 to 8 years of banking industry experience.
• 6+ years in AML/FinCrime/Fraud transformation.
• 2+ years of AI/ML or Generative AI implementation experience in banking or compliance.
• 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.
• Thorough knowledge of AML/CTF transaction monitoring, KYC, sanctions, SAM, WLM, SAR/STR processes and AML risk assessment.
• Experience developing modules for KYC, CDD, EDD, sanctions screening, PEP and adverse media screening, and transaction and case management.
• Agile (Scrum or Kanban) methodology exposure and strong client-facing skills.

Required skills

• NICE Actimize AML (SAM, WLM, ACM, ActOne) and strong scenario configuration, threshold tuning and alert optimisation.
• FinCrime data model, data mapping, ETL, REST API integrations and Java customisations.
• Cloud, CI/CD (Bitbucket, Jenkins, Git, Nexus) and container technologies (Docker, Kubernetes).
• Oracle SQL, PL/SQL, performance tuning and application support.
• At least one scripting language among Python, Java or Linux/Unix shell; Kafka integration knowledge is an added advantage.
• Big data tools such as Spark, Hadoop or Elasticsearch.