Responsibilities :
- Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques
- Understand the business reality behind large sets of data and develop meaningful models
- Connect with business problems related to buyer and seller risks and fraud management and develop cutting edge algorithms for risk mitigation
- Work closely with developers in clearly giving them the requirements towards deploying the algorithms and models in real time detection engines
- Perform ad hoc analysis time to time to understand new trends in risk modeling and fraud patterns
- Innovate by adapting new modeling techniques and procedures
- Take end to end ownership in thoroughly understanding the business problems and translating that into algorithms
Qualifications :
- MS required, PhD desired in either Industrial Engineering or Operations Research or Computer Science.
- Over 5 years of relevant risk management/analytics, financial modeling, credit & reporting experience, preferably in a commercial lending business
- Proven track record in understanding business problems and developing effective algorithms and solutions
- Knowledge of at least one major statistical data analysis systems like SAS or SPSS
- Ability to process large data sets from multiple data sources
- Prior experience in developing models for credit review, internal audit, and/or commercial underwriting is strongly preferred
- Experience in Predictive Analytical modeling such as forecasting using time series or any other such techniques is preferred
- Strong analytical mindset with willingness to Innovate
- Ability to work closely with highly qualified professional as a team
- Familiarity in working with SQL/C++ is preferred
- Comfortable in working with multiple operating systems
- Display entrepreneurial spirit in working
- Ability to work efficiently and effectively in fast paced environment with tight deadlines
- Willingness to Travel
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