Assistant Manager, Quantitative Modeling

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. The team is seeking to fill a position of Assistant Manager, Quant Modeling. The candidate is expected to execute, monitor and recalibrate various statistical models.  He should be able to automate existing model execution using Python, R and SQL. He should be able to develop new Statistical and Machine learning models across 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 FUNCTION AND RESPONSIBILITIES:

• Model Execution: Run and execute existing Statistical, Machine learning and various analytical models using Python, R, and SQL to support various business needs.
• Model Monitoring and Recalibration: Prepare and conduct periodic model monitoring and recalibration to ensure model performance and compliance.
• Automation: Create scripts and tools to automate repetitive tasks and data pipelines. Develop and implement automated solutions for model monitoring reports to enhance efficiency and accuracy.
• Data Visualization: Design and present visualizations to communicate insights to stakeholders effectively.
• Data Preparation: Extract, transform, load and analyze data ensuring data integrity and readiness for the 
• analysis.
• Predictive modelling: Build and validate predictive models to support business decision making processes. Apply machine learning models to forecast trends and behaviors.
• Data Mining and Analysis: Extract and analyze large datasets from various sources to identify patterns, correlations and anomalies. Utilize Statistical methods and machine learning algorithms to interpret complex data sets.
• Documentation: Produce, maintain and update comprehensive documentation for each model.
• Presentation: Prepare and deliver Power point presentations to communicate model results, insights, and recommendations to stakeholders for informed decision making.
• Solution Provider: Propose and deliver innovative modeling methods and techniques to improve existing business processes and support emerging business opportunities.
• Communications: Cleary and effectively communicate results of modeling projects to senior management.
• Continuous Self-improvement: Stay up to date on recent advancement in statistical modeling and data processing/mining methods and techniques, including relevant programming languages.

EDUCATION / EXPERIENCE

• 5+ years of experience in statistical modeling/decision science in the financial services industry.
• Bachelor’s or master’s degree in quantitative discipline such as Data or Computer Science, Economics, Statistics, Engineering, etc.
• Strong hands-on experience with Python, R and SQL for data modelling and statistical analysis.
• Certifications in Data Science, Machine learning, Business Analytics, or Advances Statistical Analysis preferred.
• Knowledge of statistical tools and data mining techniques.
• Experience in automating reports and processes using scripts in Python/R/SQL.
• Experience in mortgage servicing or finance and banking industry will be a plus. 
• Demonstrated ability to independently structure, manage, coordinate and deliver complex cross-enterprise modeling and analytic projects and processes with multiple stakeholders.
• Global or multi-national business experience is strongly preferred.
• Ability to adapt to a dynamic, rapidly changing business environment

WORK SCHEDULE OR TRAVEL REQUIREMENTS:

Mid shift - 2pm to 11pm IST