GPS
SOLUTIONS

Specialist Data Scientist

R&D / Engineering | Pune, India | INDIA

Job Purpose and responsibilities: 

  • Perform large-scale data analysis of financial crime data
  • Research and develop new algorithms for risk assessment and optimization.
  • Tune existing models and develop new predictive / risk assessment models. 
  • Communicate with Actimize Professional Services and with Clients about 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 tool.

Experience: 6 to 9 Years

Qualifications:
  • Advanced degree in a quantitative area (statistics, mathematics, physics, computer science, engineering)
  • 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 5+ years of experience with at least 3 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.
  • Innovative aptitude.

 

Additional Desired Qualifications:

  • Experience in development of risk management models, particularly in the fraud, AML, or financial trade compliance areas.
  • Knowledge of national and international financial systems and data standards.
  • Experience with Business Intelligence platforms, methodologies (e.g. OLAP), and tools.
  • Experience with semantic / cognitive analytics tools and methodologies (e.g. semantic ontologies).

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