Lead Quantitative Model Solutions Specialist
On-siteBengaluru, Karnataka, India
Job Summary
Lead complex, large-scale model maintenance, optimization, and planning initiatives related to operational processes, controls, reporting, testing, implementation, and documentation. Review and analyze complex multi-faceted model operations and optimization challenges requiring in-depth evaluation of multiple factors, including intangibles. Develop model processes and optimization strategies for short- and long-term objectives while making decisions in complex situations requiring a 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.
Required Qualifications
- 5+ years of quantitative model solutions or quantitative model operations experience
- Bachelor's degree in engineering in any field
- Proficient in Python or R
- Proficient in Tableau, Power BI, or any of business intelligence tools
- Excellent verbal and communication skills
- Excellent analytical ability in interpreting data, analytical results to draw insights to develop credit scoring models and help business manage the credit risk effectively
- Familiarity with U.S based Bureau Data
- Understanding of process, methodologies used in credit scoring model development, implementation, validation, and monitoring
- Ability to effectively manage multiple assignments with challenging timelines
- Experience in statistical modeling techniques
- Strong writing skills necessary for the review of highly detailed model documentation and reporting
Desired Qualifications
- 5+ years of experience in working on database management and/or implementation of models/strategies with a strong understanding of the business
- Exposure to working in Big Data Platforms like Hive, Spark, Hadoop, Cloudera, AWS, and so on
- Advanced degree in statistics, finance, math, engineering or similar quantitative disciplines
- Good Python skills in performing complex data manipulation and modeling in Python
- Excellent problem-solving skills and ability to connect dots, see big picture and find solutions and articulate in a clear manner
- Experience in producing high quality technical documentation with tools such as Excel, Word, and PowerPoint
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