Financial Crime Analytics – Lead Analyst -Contract

Financial Crime Analytics – Lead Analyst -Contract

Posted 1 week ago by Job Board - LinkedIn on Linkedin

Negotiable
Undetermined
Undetermined
London, England, United Kingdom

About CRISIL GR&A: About CRISIL GR&A: CRISIL Global Research & Analytics (GR&A) is the largest and top-ranked provider of high end research and analytics services to the world's leading commercial and investment banks, insurance companies, corporations and asset management firms. It has deep expertise in the areas of equity research, fixed income research, valuations, pricing complex derivatives, structured finance, risk management, actuarial analysis, and business intelligence. For more information, please visit www.crisil.com/gra. These positions are for CRISIL GR&A s rapidly expanding risk and analytics practice.



Job title: Financial Crime Analytics Lead Analyst (3 Month Contract)



Job Duties-

  • Implementing various scenarios /rules using any of the AML Vendor tools stated above.
  • Validation of the rules using standard validation process.
  • Implementation of customer segmentation and threshold analysis for banks
  • Managing client projects and internal stakeholders
  • Leading projects for implementation of AML or fraud compliance for banks


Experience-

  • Strong knowledge of AML or fraud analytics with at least 5-7 years of relevant experience in financial crime analytics or Anti-Money Laundering domain; additional exposure to customer segmentation and threshold analysis.
  • Strong exposure to industry standard vendor tools for AML such as Mantas, Actimize-SAM, Trade Surveillance, SAS AML, Norkom
  • Should have worked extensively on Python and SQL; additional exposure to SAS is preferred.
  • Hands-on experience in data mining/analytics and familiarity with the FCC/AML Regulatory environment (including AML/KYC regulations)


Skills required-

  • Excellent understanding of the FCC/AML industry and business lines
  • Exposure to programming languages Python, SAS, SQL
  • Should have strong exposure to databases/technologies, data mining and business intelligence resources in the banking industry.
  • Exposure to industry standard AML tools such as Mantas, Actimize-SAM, Trade Surveillance, SAS AML, Norkom
  • Excellent verbal and written English communication skills
  • Good at creating and delivering impactful presentations


Qualifications-

  • M.S. in Statistics, Computer Science or a related quantitative discipline
  • Exposure to any one of the industry standard vendor tools for AML Mantas, Actimize-SAM, SAS-AML or Norkom
  • Extensive exposure in working on Python with strong experience in SQL