Lead Data Scientist - Actimize division

NICE Systems   •  

Virtual / Travel

Industry: Software

  •  

5 - 7 years

Posted 291 days ago

This job is no longer available.

Job Purpose and responsibilities: 

  • Proactively drive risk model development end-to-end on complex projects for large-scale financial institutions
  • Communicate with Actimize Professional Services and with Clients about model development approach, model performance and recommendations.
  • Maintain and analyze information about multiple clients’ models, to derive insights for clients and for enhancing risk model performance.
  • Help maintain and improve model development tools.
  • Support daily workload management of US analytics delivery team, working with project managers and business analysts.

Necessary Qualifications:

  • 2+ years of experience managing a task force as matrix or direct manager. 5+ years of experience working in integrated development and analytic teams.
  • 5+ years of experience working in a global development & / or professional service organization.
  • Advanced degree in a quantitative area (statistics, mathematics, physics, computer science, engineering) or the equivalent years in work experience
  • Experience with statistical model development. Deep and diverse experience with multiple statistical procedures and data mining algorithms.
  • Strong experience with using SQL and EXCEL.
  • Strong programming skills in multiple languages and ability to rapidly learn new programming tools. Actual 3+ years of experience with at least 2 of the following languages: R, SAS, Scala, Java, Python, Matlab, SPSS, VBA, including procedures, macros, and scripting.
  • Strong general analytical skills, agility with using quantitative tools to solve analytical problems
  • Good oral and written communications skills, and ability to interact with engineers, software developers, project managers, business analysts, product managers and with clients.
  • Ability to work in multi-disciplinary agile teams.
  • Strong commitment to quality.

 


Additional Desired Qualifications:

  • Experience in development of risk management models, particularly in the fraud, AML, or financialtrade compliance areas.
  • Knowledge of national and international financial systems and data standards.