Moodys Analytics - Compliance/Anti Money Laundry

Responsibilities

- Subject matter expertise in AML suspicious Activity monitoring, as well as significant technical expertise in SAS programming. Should be able to write complex SAS programs

- Expertise in Customer Segmentation and validation of the customer segmentations for banks customer data.

- Expertise in Actimize SAM, CDD, WLF, Trade Surveillance, EFT models.

- Ability to build and validate various AML Models on platforms like Actimize, Mantas, Detica, SAS AML and fine tune the existing models for better performance.

- Optimizing the thresholds and derive a statistical approach to finalize the thresholds based on the model requirements.

- Strong experience of writing complex queries in SQL and a very good understanding of databases like Oracle & Teradata.

- Exposure to statistical approaches like Clustering, Attribute analysis etc is a must

- Understanding of other AML tools like Mantas, Norkom, SAS AML would be an added advantage

- Excellent client management skills, with prior experience in client-facing roles

- Strong team management skills

- Interact with subject matter experts within the client's global compliance lines of business (LOBs) to identify, measure, and evaluate risks and mitigating controls

- Analyze large volumes of data utilizing tools, such as SAS, STATA, R, SQL, and Excel, and document methodologies and findings

- Suggest approaches and factors to model compliance risk

- Contribute to compliance risk modeling

- Analyze and apply data to risk models

- Test model factors, weights, and thresholds

- Code analysis and models in SAS

- Write methodology and procedure documents

- Present proposals and findings of analysis to clients, team members, stakeholders, and senior management

Required qualifications

- 3-5 years of experience in the BFSI domain, with 3+ years in compliance analytics

- Experience in assisting clients in several global Foreign Corrupt Practices Act (FCPA) and corporate investigations and disputes by using information technology, tools, and custom software development to identify fraud, wastage, and abuse

- Expertise in SAS, including but not limited to Base SAS, SAS/STAT, SAS/GRAPH, SAS Macro, and EG

- Strong experience of writing complex queries in SQL and a very good understanding of databases like Oracle & Teradata

- Expertise in providing analytics services to help gain insights into data and help clients make strategic and improved business decisions

- Experience in any of the following solution areas: AML transaction monitoring, KYC and customer information management, sanctions, fraud, models and model validation, FIU and investigation support, anti-bribery and corruption, surveillance, and monitoring

- Specialities: FCPA, analytics, anti-money laundering (AML), forensic accounting, corporate investigations, business intelligence, data warehousing and ETL, data visualization, database design and development, and requirement gathering

- Strong analytical and problem-solving expertise

- Experience in statistical modeling and analysis, using techniques such as regression analysis, multivariate analysis, factor analysis, and clustering

- ACAMS certification would be an added advantage