SUMMARY:

• 6+ years of professional experience in statistical modeling, quantitative finance, econometrics, forecast and analytics
• Economic analysis & research Time - series forecasting & data modeling
• Financial data analysis & reporting Risk identification & measurement
• Regression analysis Forecasting and exploratory data analysis

TECHNICAL SKILLS:

Software Proficiency: SAS, SAS Visual Analytics, SQL, MS Office, CRM Dynamics, SQL Server Management Studio, Tera Data

WORK EXPERIENCE:

Confidential, Fort mill, SC

Analytics Consultant

• Prepare and present monthly Bankruptcy forecast and perform regular analysis on metrics such as business seasonality, market changes/conditions, inventory inflow and outflow, forecast accuracy, trending patterns, correlation, explain forecast variance etc. and present insightful briefs and recommend analytical findings to senior leadership to assist in decision making.
• Collaborate with various partners including economic, finance, risk, loan servicing, and business strategy team members to gain understanding of business processes, build trust, and attain insight into in the impact to home mortgage default servicing forecast.
• Work with Model Validation Team, Internal Auditor and Regulators to provide model validation and documentation by evaluating model theoretical assumptions, conducting model sensitivity analysis and back testing, and to ensure models are compliant within the model governance framework.
• Prepare and present informative visualizations in SAS Visual Analytics that intuitively display large amounts of data and complex relationships, exploratory data analysis, key assumptions, and business drivers to provide insights for executives to make informed decisions .
• Extract mortgage loan-level data from the large datasets and upload tables to the server using SQL Server Management Studio Design and SAS to develop, back-test and implement new quantitative loss forecasting models and ad-hoc analytics and modeling to support home mortgage default servicing.
• Adjust and enhance existing loss forecasting models by leveraging advanced analytics techniques to in corporate the impact from business process changes, provide additional business insights as well as improve the model performance, budget and capacity planning.

Data Analyst

• Finance data analysis and reporting.
• Master data sheet maintenance and update in the MS Access using SQL
• Data reconciliation and validation
• Extract, assemble, validate and analyze complex datasets from various sources using SQL, Beta and Excel to support reporting, data analysis and analytical needs.
• Prepares reviews, analyzes, and submits a variety of complex and special reports, reconciliations, work papers, communications, schedules, tables, and statements to and from internal departments, financial institutions, and external agencies.

Financial Analyst

• Forecast business, industry or economic conditions, conduct variance reports to compare and analyze company's financial plans and forecasts using SAS.
• Supporting the coordination and updating forecast models and refined forecasts to ensure underlying business trends are captured in the forecasts.
• Support management in financial decisions by analyzing financial information and/or generate reports for business trends and developments.
• Develop monthly and quarterly reporting for the executive team on strategic performance and provide high value-added analytical support to facilitate strategic decisions for senior management.
• Supporting the production of monthly management reports for Executive Management and Board of Directors, including financial information, and variance analysis.

Assistant Manager

• Analyzed financial statements, extracted relevant information, prepared financial models for financial projections.
• Conduct statistical analyses and complete studies of real estate and mortgage related data
• Prepared Financial Models using SAS and SAP. Performed loan syndication by liaising with banks/financial institutions.
• Successfully managed the activities of 5-8 team leaders to increase the accuracy, efficiency and responsiveness of the department.
• Participate in quantitative and qualitative research projects independently
• Residential asset management, property management, and affordable housing experience.
• Leverages an in-depth knowledge of the customer's/client's business to uncover needs in order to deliver the appropriate bank solution.
• Provided economic and market advice to prospective clients and analyzed financial statements of new customer.
• Developed, implemented and monitored programs to maximize customer satisfaction with interdepartmental coordination.
• Application of CRM Dynamic’s software for data analysis and daily reports and action taken for closure of the cases with latest update.

Center Manager

• Performed complex financial and statistical analysis that helped to manage risk in client’s portfolio
• Lead a team of customer-service and operations associates to meet and exceed performance targets; provided an oversight on all operational activities including execution of operational leadership tasks
• Coached and assisted associates to be efficient and in compliance with established policies and procedures in customer service, supervised and managed a team of quantitative traders.
• Created data set and utilized SAS data and procedural steps of Base SAS programming codes to import data into SAS and analyzed these data for with various statistical methodologies and manipulation for management.
• Performed data based analysis and factor based modeling to predict stock returns for clients’ portfolio.
• Finance investment planning and risk assessment for customers.
• Designed, implemented and generated MIS reports.