Affluent Global Services - Solution Architect - AML/Financial Crime Vertical

Position Summary :

We are looking for a Solution Architect with overall experience of 10+ years and 8 - 10 years of relevant experience in Anti Money Laundering (AML) & Financial Crime, specialization in building of solutions to prevent money laundering, CFT and Financial crimes.

ROLES AND RESPONSIBILITIES :

- Responsible for conceptualizing & implementing solutions related to Financial Crime and AML

- Strong experience in Fraud Investigation, AML, Transaction Analysis & Monitoring, Customer Due Diligence (CDD), Sanctions, and related compliance & regulations

- Proven record of having delivered solutions on AML and Financial Crime to BFSI business lines using (a) rules-based methodologies and systems, and (b) also by harnessing Machine Learning and other AI techniques

- Has extensive experience in financial risk assessments, AML & Financial Crime regulations, procedures and processes to prevent financing of terrorist groups and illicit transfer of funds though financial markets

- Has expertise in creating solutions for financial crime problems involving large datasets (both structured and non-structured)

- Must have delivered end-to-end solutions to financial crime problems for banking institutions and NBFCs

- Strong ability to deliver data driven solutions in solving Financial Crime

- Will be responsible for leading data-driven solutions design through innovative methods

- Experience in creating Functional Specifications, Requirements Understanding and Technical Specifications or Designs for AML solutions

- Must know all terminologies and processes used in AML (global scope

- Will be responsible to build our CoE (Centre of Excellence) in AML and Financial Crime solutions

- Will be responsible to develop and maintain industry-leading knowledge and collection of tools, systems and processes, for best in class Detection and Monitoring Operations for AML

Minimum Requirements :

- Minimum 10+ years- experience in Banking and Financial services domain

- Familiar with the advanced concepts of Fraud Detections, and prevention of money laundering use cases

- Data Analysis experience is a must to understand the complex patterns, outcome of the models and analysis of the frauds to come up with recommendations and fraudulent transactions

- Must be familiar with the Machine Learning and AI capabilities, patterns formations and analysis (of suspicious patterns), and handling of large datasets, both structured and unstructured. Technical expertise in these areas would be a plus but functional knowledge is mandatory to come up with solutions at the enterprise level for AML and Financial Crime problems

- ACAMS, or CAME certification is a plus

- Should be well versed with the MS Office, SQL, and structured databases