| Hi, Hope you are doing Great! Kindly go through the below Requirement and let me know if you would be interested in this role. If interested then share your Updated resume, contact details, and good time to connect with you. Role: Financial Crime Analytics – Consultant Location: New York, USA Job Description: - Strong knowledge of AML model validation and model risk management with at least 4-6 years of relevant experience in financial crime analytics.
- Rick experience of model documentation, validation reports, playbooks, and runbooks
- Good understanding of AML regulations such as BSA, UK Patriot Act, AML Directives etc.
- Rich experience in threshold tuning & optimization is a must. Well versed with threshold tuning methodologies & implementation. Exposure to ATL/BTL
- Strong exposure to any of industry standard vendor tools such as Mantas, Actimize-SAM, EFT, Trade Surveillance, SAS AML, Norkom
- Hands-on experience in data mining/analytics and familiarity with the regulatory environment.
- Work individually or as part of a team to execute model validation activities and testing against BSA/AML and OFAC models, including assessing risks related to model design, data, output, and governance.
- Work individually or as part of a team to execute BSA/AML and OFAC audits for financial institutions of all sizes and complexities.
- Demonstrate expertise in BSA/AML and OFAC including:
- BSA/AML and OFAC laws and regulations as well having a some understanding and experience of how to apply requirements in financial service environment.
- Creative problem-solving abilities and abilities to interpret information and regulatory requirements to advise clients on compliance issues by implementing sound solutions.
- An understanding of internal control environment that is appropriate to mitigate the risks with BSA/AML and OFAC laws and regulations.
- Identify risks, assess mitigating controls, and make recommendations on improving the control environment.
- Participate in the development and maintenance of testing documentation, procedures, and tools to automate and standardize validation processes.
Requirement:
- Excellent understanding of the banking industry and business lines
- Analytical/numerical expertise demonstrated by cutting edge quantitative/statistical research and analysis projects
- Threshold tuning of AML Scenarios is a must
- Should have strong exposure to databases/technologies, data mining and business intelligence resources in the banking industry
- Excellent verbal and written English communication skills
- Good at creating and delivering impactful presentations
Qualification: - M.S. in Statistics, Computer Science, or a related quantitative discipline
- Professional certification such as CAMS (AML) preferred
- Exposure to Big Data Technologies is desirable
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