- Lead endtoend model development, maintenance and enhancements projects for various business units.
- Propose and deliver innovative modeling methods and techniques to improve existing business processes and support emerging business opportunities.
- Cleary and effectively communicate results of modeling projects to senior management.
- Produce, maintain and update comprehensive documentation and monitoring reports for each model.
- Collect and process economic and financial statistical data from external data and economic research sources and incorporate the external data into Ocwen's internal forecasting processes.
- Stay up to date on recent advancement in statistical modeling and data processing/mining methods and techniques, including relevant programming languages.
- Support internal and external audit requests including delivery of written and oral presentations.
- Promote the use of datadriven analytic/modeling methods throughout the organization.
- Share subject matter expertise and mentor junior team members.
- Ph.
- Demonstrated ability to independently structure, manage, coordinate and deliver complex crossenterprise modeling and analytic projects and processes with multiple stakeholders.
- Expert knowledge of statistical tools and data mining techniques.
- Global or multinational business experience strongly preferred
- Ability to adapt to a dynamic, rapidly changing business environment
- Excellent programming skills including R, Python, MatLab, SQL, advanced knowledge of Excel and PowerPoint.
- Strong written and oral communication skills.
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Senior Manager - Pune, India - Ocwen
Description
POSITION SUMMARY:
The Quantitative Modeling/Decision Science team is a part of the Financial Planning and Analysis business unit and is responsible for delivering quant modeling, forecasting, and statistical analysis solutions throughout Ocwen.
This is an individual contributor role with a high degree of ownership and significant responsibilities for complex model development and automation projects.
The candidate is expected to leverage his/her advanced statistical and data science subject matter expertise to deliver cutting-edge modeling solutions for various business units throughout the organization including mortgage servicing, lending, capital markets, finance, risk management and compliance.
The candidate should be able to effectively use written and oral communication skills to present results of complex statistical/data science projects to a non-technical audience.
JOB FUNCTIONS AND RESPONSIBILITIES:years of post-Ph.
D. experience in statistical modeling/decision science in the financial services industry, mortgage industry experience is preferred.
or Master of Science in a quantitative discipline (Data or Computer Science, Economics, Statistics, Engineering, etc.) from a top-tier academic institution.