support and provide insights regarding a wide array of business initiatives Make decisions in complex and multi-faceted situations requiring solid understanding of agile development Influence global assessment of model maintenance schedules inclusive of engineering, structure, and scope of review following the System Development Life Cycle process, quality, security, and compliance requirements Strategically collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals Desired Qualifications : Overall experience of 5-14 years in Risk Analytics Degree in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business / social and behavioral sciences with a quantitative emphasis. Strong Quantitative Skills : 5+ years of Predictive modeling experience. Good understanding of model development and model testing. Proficient in statistical analysis Good Problem Solving and Analytical Skills Programming Skills 2+ years of hand- on experience in Python and SQL 1+ years of experience in SAS Good Written and Oral Communication Skills Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities Understanding of
Team Leader • Bengaluru, Republic Of India, IN